MakerAi

🌐 Official Website: https://makerai.cimamaker.com 📖 Manual: https://www.gustavoenriquez.com/book-makerai — available in English and Spanish

GitHub Stars GitHub Issues License Telegram Delphi Supported Versions Free Pascal

Free Pascal / Lazarus port available — Full port of MakerAI Suite for FPC 3.2+ (12 LLM drivers, RAG, Agents, MCP, Embeddings). See the fpc branch.

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MakerAI is more than an API wrapper

Most AI libraries for Delphi stop at wrapping REST calls. MakerAI is different.

Yes, MakerAI includes native, provider-specific components that give you direct, full-fidelity access to each provider's API — every model parameter, every response field, every streaming event, exactly as the provider defines it.

But on top of that, MakerAI is a complete AI application ecosystem that lets you build production-grade intelligent systems entirely in Delphi:

• RAG pipelines (vector and graph-based) with SQL-like query languages (VQL / GQL)
• Autonomous Agents with graph orchestration, checkpoints, and human-in-the-loop approval
• MCP Servers and Clients — expose or consume tools using the Model Context Protocol (dual-era: stateless spec 2026-07-28 + legacy handshake)
• Native ChatTools — bridge AI reasoning with deterministic real-world capabilities (PDF, Vision, Speech, Web Search, Shell, Computer Use)
• FMX Visual Components — drop-in UI for multimodal chat interfaces
• Universal Connector — switch providers at runtime without changing your application code

Whether you need a simple one-provider integration or a multi-agent, multi-provider, retrieval-augmented production system, MakerAI covers the full stack — natively in Delphi.

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🚀 What's New in v3.6

MCP Specification 2026-07-28 — Stateless, Dual-Era

The Model Context Protocol dropped sessions and the initialize handshake. MakerAI implements the new stateless revision on both sides and keeps talking to legacy peers: clients probe with server/discover and fall back automatically; the server serves modern per-request _meta requests statelessly while the legacy handshake and session gating keep working. Includes the MRTR pattern, so a tool can pause and ask the user for confirmation (OnInputRequired on the client, TAiAuthContext.InputResponses on the server).

Observability — OpenTelemetry Tracing

TAiTelemetry exports OTLP traces to any standard collector (Jaeger, Grafana Tempo, Langfuse, Arize Phoenix) following the GenAI semantic conventions. Spans cover chat turns with token usage, tool executions, agent graphs and nodes, RAG retrieval and MCP requests — with W3C traceparent propagated through MCP _meta, so a client and a server in different processes share one distributed trace. Opt-in, zero overhead when disabled.

A2A — Agent-to-Agent Protocol (first Delphi implementation)

If MCP is the agent-to-tool layer, A2A (Linux Foundation) is the agent-to-agent layer. TAiA2AServer publishes any agent graph as a standard A2A agent (Agent Card + JSON-RPC), TAiA2AClient consumes remote agents, and TAiA2ARemoteAgentTool federates: a node in your graph can delegate its work to a remote agent — including one written in another language or framework. Demo: 072-A2AFederation.

Guardrails & Evals

TAiGuardrails intercepts every tool call before it executes (allowlists, blocklists, forbidden argument patterns, programmatic veto) — blocked calls never run and the LLM gets the reason so it can replan. TAiEvalRunner brings systematic evaluation: fluent test cases against any target, deterministic checks plus optional LLM-as-judge, with ToJSON reports for CI.

First Automated Regression Suite

Tests/RegressionSuite/ — 17 in-process cases covering MCP, agents, A2A, guardrails and evals. No API keys, under a second, exit code for CI. Built on TAiEvalRunner itself.

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What's New in v3.5

Typed ModelConfig Channel

Capability configuration now lives in a single typed surface: ModelConfig.ModelCaps / SessionCaps / Tool_Active / ThinkingLevel moved out of the string-based Params/RTTI channel, with per-field user pins and transparent compatibility migration — existing code keeps working unchanged.

Full-Duplex Voice Suite

• TAiGrokRealtimeChat — xAI Grok Voice speech-to-speech (function calling, session resumption with replay, binary audio transport, ephemeral tokens)
• TAiOpenAiRealtimeTranslate — continuous streaming speech translation (one WebSocket per direction; demo 071-VoiceBridgeTranslate)
• TAiRealtimeVoiceBase — shared full-duplex base; voice events flow through the universal TAiRealtimeConnection
• gpt-transcribe / gpt-live-transcribe — OpenAI's Whisper successors, fully integrated

August 2026 Provider Refresh — All 9 Cloud Providers, Runtime-Tested

Claude 5 family (adaptive thinking, FastMode, compaction, server-side fallbacks) · Gemini 3.5/3.6 + Nano Banana GA · Mistral Voxtral TTS + OCR 4 · Kimi K3 · DeepSeek V4 (explicit thinking control) · Cohere Command A+ · Groq qwen3.6 · xAI grok-4.3/4.5/build — with retired-model cleanup and compatibility aliases throughout.

Grok Native Video & Image Generation

TAiGrokChat now generates video with grok-imagine (async job + polling + mp4 as TAiMediaFile, new VideoDurationSeconds property) and images with grok-imagine-image — activated by cmVideoGeneration/cmImageGeneration or the [cap_GenVideo]/[cap_GenImage] gaps.

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What's New in v3.4

Delphi 13.1 Florence Support

v3.4 is fully tested and compatible with Delphi 13.1 Florence (CompilerVersion 37.1), in addition to the existing range from Delphi 10.4 Sydney through Delphi 13 Florence.

Selective Driver Registration

The biggest infrastructure change in v3.4: TAiChatConnection no longer force-loads all providers at startup. Each driver now self-registers only when explicitly imported, eliminating unnecessary initialization overhead:

// Load only what you need
uses uMakerAi.Chat.AiConnection, uMakerAi.Chat.OpenAi, uMakerAi.Chat.Claude;

// Load all drivers at once (legacy behavior)
uses uMakerAi.Chat.Initializations;

Real-Time STT — TAiRealtimeConnection

New universal connector for real-time speech-to-text via WebSocket:

• TAiRealtimeConnection — provider-agnostic STT connector; switch providers via DriverName
• TAiOpenAiRealtimeSTT — full OpenAI Realtime API implementation (24 kHz PCM16, VAD modes, streaming transcription)
• Pure-Pascal WebSocket client with native TLS via Windows SChannel — no extra DLLs required
• Thread-safe PCM16 resampler; supports push-based audio streaming from any source

GPT-Transcribe — Next-Gen OpenAI Transcription (Whisper successors) 🆕

OpenAI's new transcription models (Aug 2026) are fully integrated — better accuracy on real-world audio, accents, numbers, specialized terminology and loud background noise:

Model	Use case	Word Error Rate
gpt-live-transcribe	Live low-latency STT (Realtime WebSocket)	9.60% (vs 11.65% Whisper)
gpt-transcribe	Completed files and batch workloads	8.98% (vs 15.21% Whisper)

• TAiOpenAiRealtimeSTT now defaults to gpt-live-transcribe, with new context properties: TranscriptionPrompt (free-form topic), TranscriptionKeywords (domain terms), Languages (multi-language guided autodetection) and LowDelay
• TAiOpenAiAudio gains tmGptTranscribe / tmGptLiveTranscribe with TranscriptionKeywords + TranscriptionLanguages for REST/batch transcription
• Legacy models (whisper-1, gpt-4o-transcribe) remain available — they're still required for subtitles (SRT/VTT), word timestamps and diarization (gpt-4o-transcribe-diarize), which the new models don't support; the components degrade formats safely per model
• VoiceBridge demos (062–065) migrated: live channels use gpt-live-transcribe with contextual prompts and guided language detection; diarized channels stay on gpt-4o-transcribe-diarize

Grok Voice — Real-Time Speech-to-Speech (xAI) 🆕

Full-duplex voice conversation with xAI's Grok Voice models (grok-voice-think-fast-2.0) over a single WebSocket — the user speaks, Grok listens, reasons and answers back with voice:

• TAiGrokRealtimeChat — complete driver for wss://api.x.ai/v1/realtime (OpenAI Realtime-compatible protocol, 24 kHz PCM16)
• TAiRealtimeVoiceBase — new base class for full-duplex voice drivers; adds OnAssistantText, OnAssistantTextDelta, OnAudioChunk, OnAudioDone (shared with TAiMakerAiRealtimeChat)
• Live user transcription (OnTranscriptDelta / OnTranscriptCompleted), server VAD, streamed assistant text and TTS audio
• Function calling by voice: assign a TAiFunctions component (local functions + MCP) and Grok invokes your Delphi code mid-conversation — the driver handles the whole round-trip (execution on worker threads, function_call_output, continuation)
• xAI native tools: EnableWebSearch / EnableXSearch — executed server-side by xAI
• Session options: Voice (eva, ara, rex, sal, leo or custom voice_id), Instructions, ReasoningEffort (high / none for lower latency), OutputSpeed, Keyterms (transcription biasing), PronunciationReplace (TTS corrections), automatic regional language hints (es→es-MX, pt→pt-BR)
• ForceMessage() — scripted TTS utterance bypassing the model (IVR prompts, disclosures)
• Session resumption: EnableResumption + ConversationId — reconnect and the server replays the cached turns (transcripts, tool calls and outputs; 30-min window)
• Binary audio transport: BinaryAudio := True — raw PCM over WebSocket binary frames, ~33% less bandwidth than base64
• Ephemeral tokens for mobile/browser clients: MintEphemeralToken() on your backend + EphemeralToken on the client — the API key never leaves the server
• file_search over xAI Collections (FileSearchCollections) and remote MCP servers via CustomToolsJson
• Works through TAiRealtimeConnection too — just set DriverName := 'Grok'

uses uMakerAi.Realtime.AiConnection, uMakerAi.Realtime.Grok;

Voice := TAiRealtimeConnection.Create(nil);
Voice.DriverName   := 'Grok';
Voice.ApiKey       := '@GROK_API_KEY';
Voice.Language     := 'es';
Voice.OnTranscriptCompleted := HandleUserText;   // what the user said
Voice.OnAssistantText       := HandleGrokText;   // what Grok answered
Voice.OnAudioChunk          := HandleGrokAudio;  // Grok's voice (PCM16 24 kHz)
Voice.Connect;
// ... stream microphone audio via Voice.SendAudioChunk(Data) ...
// For file-based audio (non-continuous), close the turn explicitly:
// Voice.CommitAudio; TAiGrokRealtimeChat(Voice.Instance).CreateResponse;

cmSmartDispatch — Intelligent Chat Routing

New ChatMode value for automatic two-pass routing:

• Pass 1 — classifies the user intent and rewrites the prompt for the target capability (image generation, speech synthesis, web search, etc.)
• Pass 2 — dispatches to the appropriate bridge or tool based on classification
• Works with all existing ChatTools (IAiImageTool, IAiSpeechTool, IAiWebSearchTool, etc.)

Models Updated (May 2026)

Provider	New / Updated Models
OpenAI	gpt-5.4, gpt-5.4-mini, gpt-5.5, gpt-image-1
Claude	claude-opus-4-7 (Adaptive Thinking), claude-sonnet-4-6, claude-haiku-4-5
Gemini	gemini-3.1-pro, gemini-3-flash, gemini-3.1-flash-lite, gemini-3.1-flash-image
Grok	grok-4-fast, grok-3, grok-code-fast-1
Mistral	magistral-medium/small, devstral, voxtral
Groq	llama-4-scout/maverick, kimi-k2, qwen3, compound-beta
Kimi	kimi-k2, kimi-k2.5, kimi-k2-thinking
Cohere	command-a-03-2025, command-a-reasoning, command-a-vision

Agent Improvements

• TAiAgentManager.Run declared virtual — proper subclassing now supported
• jmAll join node fix — FJoinInputs cleared after each execution; eliminates premature firing on retries and loops
• TChatInput.EnterAsSend — new property (default False): Enter sends the prompt, Shift+Enter / Ctrl+Enter inserts a line break
• TChatBubble — eliminated spurious vertical scrollbar (ShowScrollBars := False)

Bug Fixes

• Claude Opus 4.7 Adaptive Thinking — temperature, top_p, top_k and the thinking block are now correctly omitted for claude-opus-4-7 models. Anthropic manages sampling internally for these models; sending these parameters caused HTTP 400 errors.
• RegisterDefaultParams — Max_Tokens key — corrected in 10 drivers (Claude, Gemini, Mistral, Groq, DeepSeek, Grok, Kimi, LMStudio, GenericLLM, Ollama). The wrong key MaxTokens was never resolved by RTTI to the Max_tokens property, causing Max_Tokens to be silently ignored when set via RegisterDefaultParams.
• ApplyParamsToChat — locale-independent float parsing — TryStrToFloat now tries invariant format (dot decimal) first, then falls back to the system locale. Both Temperature=0.7 and Temperature=0,7 are valid regardless of regional settings.

Bug Fixes (March 2026)

• MCP concurrent tool calls — race condition (uMakerAi.MCPClient.Core.pas): When a model responded with two or more tools from the same MCP server in a single turn, ParseChat launched all tool calls as parallel TTasks. Since TMCPClientStdIo shares a single process/pipe per instance (no synchronization), concurrent calls corrupted the JSON-RPC communication, causing intermittent failures. Fixed by adding FCallLock: TCriticalSection to TMCPClientCustom — calls to the same server are now serialized while calls to different servers still run in parallel.

• EAggregateException on tool errors — Claude driver (uMakerAi.Chat.Claude.pas): The local _CreateTask procedure in TAiClaudeChat.ParseChat lacked the try/except present in the base class. Any exception raised inside a tool task (MCP timeout, network error, etc.) escaped unhandled, causing TTask.WaitForAll to wrap it in an EAggregateException and crash the application. Fixed to match base class behavior: exceptions are caught, reported via OnError, and the tool receives an error response so the conversation can continue.

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🏗️ Architecture

┌──────────────────────────────────────────────────────────────────┐
│  Your Delphi Application                                         │
└────┬──────────────────┬─────────────────┬────────────────────────┘
     │                  │                 │
┌────▼────┐   ┌─────────▼──────────┐  ┌──▼────────────────────────┐
│ ChatUI  │   │ Agents             │  │ Design-Time               │
│ FMX     │   │ TAIAgentManager    │  │ Property Editors          │
│ Visual  │   │ TAIBlackboard      │  │ Object Inspector support  │
│ Comps   │   │ Checkpoint/Approve │  └───────────────────────────┘
└────┬────┘   └─────────┬──────────┘
     │                  │
┌────▼──────────────────▼──────────────────────────────────────────┐
│  TAiChatConnection  — Universal Connector                        │
│  Switch provider at runtime via DriverName property             │
└──────────────────────────────┬───────────────────────────────────┘
                               │
┌──────────────────────────────▼───────────────────────────────────┐
│  Native Provider Drivers  (direct API access, full fidelity)     │
│  OpenAI · Claude · Gemini · Grok · Mistral · DeepSeek · Kimi    │
│  Groq · Cohere · Ollama · LM Studio · GenericLLM                │
└──────────────────────────────┬───────────────────────────────────┘
                               │
     ┌─────────────────────────┼────────────────────────┐
     │                         │                        │
┌────▼────────┐   ┌────────────▼────────┐   ┌───────────▼─────────┐
│  ChatTools  │   │  RAG                │   │  MCP                │
│  PDF/Vision │   │  Vector (VQL)       │   │  Server (HTTP/SSE   │
│  Speech/STT │   │  Graph (GQL)        │   │  StdIO/Direct)      │
│  Web Search │   │  PostgreSQL/SQLite  │   │  Client             │
│  Shell      │   │  HNSW · BM25 · RRF  │   │  TAiFunctions bridge│
│  ComputerUse│   │  Rerank · Documents │   └─────────────────────┘
└─────────────┘   └─────────────────────┘

┌──────────────────────────────────────────────────────────────────┐
│  Realtime Voice — parallel WebSocket stack                       │
│  TAiRealtimeConnection · OpenAI STT · Grok Voice S2S · MakerAI   │
│  Pure-Pascal RFC 6455 + TLS (SChannel / OpenSSL / Android)       │
└──────────────────────────────────────────────────────────────────┘

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📡 Supported AI Providers

MakerAI gives you two ways to work with each provider, which you can mix freely:

Direct Provider Components

Full, provider-specific access to every API feature. Use when you need complete control:

Component	Provider	Latest Models
TAiOpenChat	OpenAI	gpt-5.4, gpt-5.4-mini, gpt-5.5, gpt-image-1
TAiClaudeChat	Anthropic	claude-opus-4-7, claude-sonnet-4-6, claude-haiku-4-5
TAiGeminiChat	Google	gemini-3.1-pro, gemini-3-flash, gemini-3.1-flash-lite
TAiGrokChat	xAI	grok-4-fast, grok-3, grok-code-fast-1
TAiMistralChat	Mistral AI	magistral-medium, devstral, voxtral
TAiDeepSeekChat	DeepSeek	deepseek-reasoner, deepseek-chat
TAiKimiChat	Moonshot	kimi-k2, kimi-k2.5, kimi-k2-thinking
TAiGroqChat	Groq	llama-4-scout, llama-4-maverick, kimi-k2, qwen3
TCohereChat	Cohere	command-a-03-2025, command-a-reasoning, command-a-vision
TAiOllamaChat	Ollama	Any local model
TAiLMStudioChat	LM Studio	Any local model
TAiGenericChat	OpenAI-compatible	Any OpenAI-API endpoint

Universal Connector

Provider-agnostic code. Switch models or providers by changing one property:

AiConn.DriverName := 'OpenAI';
AiConn.Model := 'gpt-5.2';
AiConn.ApiKey := '@OPENAI_API_KEY';  // resolved from environment variable

// Switch to Gemini without changing anything else
AiConn.DriverName := 'Gemini';
AiConn.Model := 'gemini-3.0-flash';
AiConn.ApiKey := '@GEMINI_API_KEY';

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📊 Feature Support Matrix

Feature	OpenAI (gpt-5.2)	Claude (4.6)	Gemini (3.0)	Grok (4)	Mistral	DeepSeek	Ollama
Text Generation	✅	✅	✅	✅	✅	✅	✅
Streaming (SSE)	✅	✅	✅	✅	✅	✅	✅
Function Calling	✅	✅	✅	✅	✅	✅	✅
JSON Mode / Schema	✅	✅	✅	✅	✅	✅	✅
Image Input	✅	✅	✅	✅	✅	❌	✅
PDF / Files	✅	✅	✅	⚠️	✅	❌	⚠️
Image Generation	✅	❌	✅	✅	❌	❌	❌
Video Generation	✅	❌	✅	❌	❌	❌	❌
Extended Thinking	✅	✅	✅	✅	✅	✅	⚠️
Speech (TTS/STT)	✅	❌	✅	❌	❌	❌	⚠️
Realtime Voice (WebSocket)	✅ STT	❌	⚠️	✅ S2S	❌	❌	❌
Web Search	✅	✅	✅	✅	❌	❌	❌
Computer Use	✅	✅	❌	❌	❌	❌	❌
RAG (all modes)	✅	✅	✅	✅	✅	✅	✅
MCP Client/Server	✅	✅	✅	✅	✅	✅	✅
Agents	✅	✅	✅	✅	✅	✅	✅

Legend: ✅ Native | ⚠️ Tool-Assisted bridge | ❌ Not Supported

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🧩 Ecosystem Modules

🧠 RAG — Retrieval-Augmented Generation

Two complementary retrieval engines with their own query languages:

Vector RAG — semantic and hybrid search over document embeddings:

• HNSW index for approximate nearest-neighbor search
• BM25 lexical index for keyword matching
• Hybrid search with RRF (Reciprocal Rank Fusion) or weighted fusion
• Reranking and Lost-in-the-Middle reordering for LLM context
• VQL (Vector Query Language) — SQL-like DSL for complex retrieval queries:

  MATCH documents SEARCH 'machine learning'
  USING HYBRID WEIGHTS(semantic: 0.7, lexical: 0.3) FUSION RRF
  WHERE category = 'tech' AND date > '2025-01-01'
  RERANK 'neural networks' WITH REGENERATE
  LIMIT 10
  

• Drivers: PostgreSQL/pgvector, SQLite, in-memory

Graph RAG — knowledge graph with semantic search over entities and relationships:

• Nodes and edges with embeddings and metadata
• MakerGQL — Graph Query Language based on ISO/IEC 39075:2024 (GQL standard):

  MATCH (p:Person)-[r:WORKS_AT]->(c:Company)
  WHERE c.city = 'Madrid' DEPTH 2
  RETURN p, r, c
  

• Dijkstra shortest path, centrality analysis, hub detection
• Export to GraphViz DOT, GraphML (Gephi), native JSON format
• Document lifecycle management (ingest → chunk → embed → link)

🤖 Agents — Autonomous Orchestration

Graph-based multi-agent workflows with full thread safety:

• TAIAgentManager — executes directed graphs of AI nodes via thread pool
• TAIAgentsNode — single execution unit; runs an LLM call, a tool, or custom logic
• TAIBlackboard — thread-safe shared state dictionary between all nodes
• Link modes: lmFanout (parallel broadcast), lmConditional (routing), lmExpression (binding), lmManual
• Join modes: jmAny (first arrival wins), jmAll (wait for all inputs)
• Durable execution: IAiCheckpointer persists full agent state between process restarts; built-in implementations: TAiFileCheckpointer (JSON files) and TAiDatabaseCheckpointer (FireDAC — SQLite, PostgreSQL, Firebird, etc.)
• Human-in-the-loop: Node.Suspend(Reason, Context) pauses a node and saves the checkpoint; TAiWaitApprovalTool provides a drop-in approval tool; resume with ResumeThread(ThreadID, NextNode, HumanInput)
• Supports any LLM provider via TAiChatConnection

🔗 MCP — Model Context Protocol

Full dual-era implementation of the MCP standard for both consuming and exposing tools: supports the stateless spec revision 2026-07-28 (per-request _meta, server/discover, MRTR elicitation) and interoperates automatically with legacy peers that still use the initialize handshake.

MCP Server — expose Delphi functions as MCP tools, callable by any MCP client (Claude Desktop, AI agents, etc.):

• Transports: HTTP (Streamable HTTP — stateless per spec 2026-07-28), StdIO, Direct (in-process), SSE (legacy — see deprecation note below)
• Dual-era per request: modern clients are served stateless (per-request _meta identity + OnClientConnect vetting); legacy clients keep the initialize handshake and Mcp-Session-Id session gating
• MRTR (Multi Round-Trip Requests): tools can pause and ask the user for confirmation or data via elicitation (resultType: "input_required" + opaque requestState) — working example in Demos/031-MCPServer/uTool.ConfirmDemo.pas
• Bridge TAiFunctions → IAiMCPTool — any existing TAiFunctions component becomes an MCP server instantly
• API Key authentication, CORS configuration
• TAiMCPResponseBuilder for structured responses (text + files + media)
• RTTI-based automatic JSON Schema generation from parameter classes

MCP Client — consume any external MCP server from your Delphi app:

• Dual-era probe: tries server/discover first and falls back to the legacy handshake automatically; the negotiated mode is exposed in NegotiatedProtocol
• OnInputRequired event resolves MRTR elicitations (retry loop with requestState echo; assigning the handler declares the elicitation capability)
• Connect to Claude Desktop tools, filesystem servers, database tools, etc.
• Integrated into TAiFunctions component alongside native function definitions

⚠️ SSE transport deprecation (spec 2026-07-28): the classic HTTP+SSE transport (GET /sse + POST /messages) was formally moved to Deprecated state by MCP spec revision 2026-07-28 under the project's feature-lifecycle policy, which mandates a minimum 12-month window. Its earliest possible removal from the spec is July 2027 — actual removal happens in the first spec revision published after that date, at the maintainers' discretion, and may come later. Removal deletes the transport from future spec revisions only: existing MakerAI SSE endpoints keep working between themselves, but third-party clients (Claude Desktop, official SDKs) will progressively drop it. Use the HTTP or StdIO transports for anything new. Note that SSE as a streaming response format survives inside Streamable HTTP — only the standalone HTTP+SSE transport is being retired.

🛠️ ChatTools — AI × Deterministic Capabilities

ChatTools bridge the gap between AI reasoning and real-world operations. They activate automatically based on gap analysis between SessionCaps and ModelCaps:

Tool Interface	What it does	Implementations
IAiPdfTool	Extract text from PDFs	Mistral OCR, Ollama OCR
IAiVisionTool	Describe / analyze images	Any vision model
IAiSpeechTool	Text-to-speech / speech-to-text	Whisper, Gemini Speech, OpenAI TTS
IAiWebSearchTool	Live web search	Gemini Web Search
IAiImageTool	Generate images	DALL-E 3, gpt-image-1, Gemini, Grok
IAiVideoTool	Generate video	Sora, Gemini Veo
TAiShell	Execute shell commands	Windows/Linux
TAiTextEditorTool	Read/write/patch files	Diff-based editing
TAiComputerUseTool	Control mouse and keyboard	Claude Computer Use, OpenAI

Tools follow a common pattern: SetContext(AiChat) + Execute*(). They can run standalone, as function-call bridges, or as automatic capability bridges.

🎙️ Realtime Voice — WebSocket STT & Speech-to-Speech

A parallel component stack for live audio over WebSocket, with the same universal-connector pattern as chat (TAiRealtimeConnection.DriverName):

Driver	Type	Endpoint
TAiOpenAiRealtimeSTT	STT only — streaming transcription (gpt-live-transcribe default)	OpenAI Realtime API
TAiGrokRealtimeChat	Full-duplex speech-to-speech — the user talks, Grok answers with voice	xAI wss://api.x.ai/v1/realtime
TAiMakerAiRealtimeChat	STT + LLM + TTS in one socket	MakerAI server
TAiGeminiRealtimeSTT	STT (planned)	Gemini Live

• TAiRealtimeVoiceBase — shared base for full-duplex drivers: OnAssistantText[Delta], OnAudioChunk, OnAudioDone, on top of the STT events (OnTranscriptDelta/Completed, OnSpeechStarted/Stopped)
• Voice function calling (Grok): plug a TAiFunctions component and the model invokes your Delphi functions mid-conversation
• Session resumption, binary audio transport, ephemeral tokens for mobile/browser clients (Grok)
• Audio pipeline: TAIVoiceMonitor (mic) → thread-safe PCM16 resampler → provider rate (24 kHz); push audio from any source via SendAudioChunk
• Pure-Pascal WebSocket stack (TAiWSClient, RFC 6455) with pluggable TLS: Windows SChannel (zero DLLs), OpenSSL (Linux/macOS), javax.net.ssl (Android)

⚙️ Model Capabilities — TAiCapabilities

Introduced in v3.3 and refined in v3.4, the TAiCapabilities system replaces all manual feature flags with two declarative sets:

• ModelCaps — what the model natively supports (e.g., [cap_Image, cap_Reasoning])
• SessionCaps — what the session needs
• Gap = SessionCaps − ModelCaps — any missing capability activates an automatic ChatTool bridge; for example, a text-only model with cap_GenImage in SessionCaps automatically routes image generation requests through a DALL-E or Gemini bridge

// Default capabilities for all models of a provider
TAiChatFactory.Instance.RegisterUserParam('MyProvider', 'ModelCaps',   '[cap_Image, cap_Pdf]');
TAiChatFactory.Instance.RegisterUserParam('MyProvider', 'SessionCaps', '[cap_Image, cap_Pdf, cap_GenImage]');

// Per-model override (e.g., a reasoning model)
TAiChatFactory.Instance.RegisterUserParam('MyProvider', 'my-model', 'ModelCaps',    '[cap_Image, cap_Reasoning]');
TAiChatFactory.Instance.RegisterUserParam('MyProvider', 'my-model', 'ThinkingLevel', 'tlMedium');

Available capabilities: cap_Image, cap_Audio, cap_Video, cap_Pdf, cap_Reasoning, cap_WebSearch, cap_GenImage, cap_GenVideo, cap_TTS, cap_STT, cap_ComputerUse

ThinkingLevel controls reasoning depth: tlLow, tlMedium, tlHigh.

🎨 FMX Visual Components

Two generations of FireMonkey components for building multimodal chat UIs:

Next-generation (v3.4) — Skia-native, virtualized, zero FMX child controls:

• TAIChatView — single-canvas virtualized conversation renderer; only visible messages are painted; supports multi-message text selection, dark/light theme, context menu, long-press (mobile), copy-button feedback with timer, and a scrollbar that doesn't interfere with content
• TAIChatInput — fully Skia-painted input bar with custom dropdown overlay (no TPopupMenu required), voice-mode indicator, file attachment chips, and TAIVoiceMonitor integration; layout adapts from 1 to N attachment chips automatically

Classic components — FMX-layout-based, simpler to subclass:

• TChatList — scrollable message container with Markdown rendering, code blocks, copy buttons
• TChatBubble — individual message bubble (user / assistant / tool)
• TChatInput — text input bar with voice recording, file attachment, and send button

Both sets are compatible with all providers and work with streaming responses.

📐 Design-Time Integration

Full Delphi IDE support via the MakerAiDsg.dpk design-time package:

• DriverName property shows a dropdown of all registered providers in the Object Inspector
• Model property lists all models for the selected provider
• MCP Client configuration editor with transport type selection
• Embedding connection editor
• Version/About dialog

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📦 Installation

git clone https://github.com/gustavoeenriquez/MakerAi.git

Step 1 — Add Library Paths

Before compiling any package, add all of these to Tools > Options > Language > Delphi > Library:

Source/Agents
Source/Chat
Source/ChatUI
Source/Core
Source/Design
Source/Embeddings
Source/MCPClient
Source/MCPServer
Source/Packages
Source/RAG
Source/Realtime
Source/Resources
Source/Tools
Source/Utils
Source/WebSocket

Step 2 — Compile and Install Packages

Compile and install in this exact order:

1. Source/Packages/MakerAI.dpk — Runtime core (~100 units)
2. Source/Packages/MakerAi.RAG.Drivers.dpk — PostgreSQL/pgvector connector
3. Source/Packages/MakerAi.UI.dpk — FMX visual components
4. Source/Packages/MakerAiDsg.dpk — Design-time editors (requires VCL + DesignIDE)

Open Source/Packages/MakerAiGrp.groupproj to compile all packages at once.

API Keys

API keys are resolved from environment variables using the @VAR_NAME convention:

AiConn.ApiKey := '@OPENAI_API_KEY';    // reads OPENAI_API_KEY from environment
AiConn.ApiKey := '@CLAUDE_API_KEY';    // reads CLAUDE_API_KEY
AiConn.ApiKey := '@GEMINI_API_KEY';    // reads GEMINI_API_KEY
AiConn.ApiKey := '@GROK_API_KEY';      // reads GROK_API_KEY (xAI chat and Grok Voice)
AiConn.ApiKey := 'sk-...';             // or set a literal key directly

Delphi Version Compatibility

Delphi Version	Support
10.4 Sydney	Limited (minimum supported)
11 Alexandria	Full support
12 Athens	Full support
13 Florence	Full support
13.1 Florence	Full support (latest tested)

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🗂️ Demo Projects

Open Demos/DemosVersion31.groupproj to access all demos.

Demo	Description
010-Minimalchat	Minimal chat with Ollama and TAiChatConnection
012-ChatAllFunctions	Full-featured multimodal chat (images, audio, streaming, tools)
012-ChatWebList	Chat with web-based content list
021-RAG+Postgres-UpdateDB	Build a vector RAG database with PostgreSQL/pgvector
022-1-RAG_SQLite	Lightweight vector RAG with SQLite
023-RAGVQL	VQL query language for semantic search
025-RAGGraph	Knowledge graph RAG with GQL queries
026-RAGGraph-Basic	Simplified graph RAG patterns
027-DocumentManager	Document ingestion and management
031-MCPServer	Multi-protocol MCP server (HTTP, SSE, StdIO)
032-MCP_StdIO_FileManager	File manager exposed via MCP StdIO
032-MCPServerDataSnap	MCP server using DataSnap transport
034-MCPServer_Http_FileManager	File manager via MCP HTTP
035-MCPServerWithTAiFunctions	TAiFunctions bridge to MCP
036-MCPServerStdIO_AiFunction	StdIO MCP server with AI functions
041-GeminiVeo	Video generation with Google Veo
051-AgentDemo	Visual agent graph builder and runner
052-AgentConsole	Console-based agent execution (conditional and parallel flows)
053-DemoAgentesTools	Agents with integrated tool use
054-AgentCheckpointDB	Durable agent execution: suspend/resume with TAiDatabaseCheckpointer (SQLite via FireDAC)
060-AIChatUI	Next-generation TAIChatView + TAIChatInput components — full multimodal demo
072-A2AFederation	Agent federation over the A2A 1.0 protocol: expose a graph as an A2A agent, consume it, and delegate a local node to a remote agent (no LLM required; --otel for tracing)

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🔄 Changelog

v3.6.0 (2026-08-02)

• New: Regression suite — Tests/RegressionSuite/ — the framework finally has an automated safety net: 17 cases covering MCP dual-era + MRTR, agent graphs, A2A 1.0 + federation, guardrails and the evals runner itself. Fully in-process (spins up its own MCP and A2A servers, plus a legacy-only MCP server to exercise the dual-era fallback), no API keys, runs in under a second. Built on TAiEvalRunner, so it doubles as the canonical usage example. --json writes a CI-friendly report; --otel traces every case as an eval.case span
• New: Guardrails — TAiGuardrails — policy layer that intercepts every tool call before execution (the single choke point in TAiFunctions.DoCallFunction, so it covers local functions, MCP tools and AutoMCP alike). Strict allowlist and blocklist with wildcard masks, forbidden substring patterns in tool arguments, and a programmatic OnCheckToolCall veto; blocked calls never execute and the LLM receives the reason as a JSON error so it can replan. OnBlocked for auditing, BlockedCount for metrics, and a guardrail.blocked span attribute. Assign via TAiFunctions.Guardrails (opt-in, zero impact when unassigned)
• New: Evals — TAiEvalRunner — lightweight evaluation framework for AI pipelines: fluent test cases (AddCase('x').Input(...).ExpectContains(...).ExpectRegex(...).ExpectMaxLength(...)) run against a generic target function, so the same suite can evaluate a TAiChat, an agent graph, an MCP tool or an A2A agent. Deterministic checks plus optional LLM-as-judge (ExpectJudge('criteria') with a Judge chat). Reports offer ToText for consoles and ToJSON for CI, and each case emits an eval.case OTel span
• New: A2A protocol (Agent-to-Agent, Linux Foundation) — MVP — first Delphi implementation of the A2A 1.0 spec: TAiA2AServer exposes any TAIAgentManager graph as an A2A agent (Agent Card at /.well-known/agent-card.json, JSON-RPC SendMessage/GetTask/CancelTask with 0.x method aliases; graph suspension maps to TASK_STATE_INPUT_REQUIRED for human-in-the-loop) and TAiA2AClient consumes remote A2A agents (FetchAgentCard, SendText, task lifecycle). No streaming/push yet (declared false per spec, UnsupportedOperationError on streaming calls). OTel spans a2a.client/a2a.server included. Agent federation: TAiA2ARemoteAgentTool lets any graph node delegate its input to a remote A2A agent (assign it as the node's Tool). Runtime-tested e2e (card + SendMessage → COMPLETED + GetTask, plus a local graph federating to a remote A2A graph)
• New: OpenTelemetry tracing — TAiTelemetry (observability phase 1) — opt-in OTLP/HTTP JSON exporter (standard collector endpoint localhost:4318; works with Jaeger, Grafana Tempo, Langfuse, Arize Phoenix). Spans follow the OpenTelemetry GenAI semantic conventions: chat turns (chat <model> with gen_ai.request.model, gen_ai.system, gen_ai.usage.input/output_tokens, sync and async), tool executions (execute_tool <name>), agent graphs (agent.graph + agent.node <name> nested across pool threads via explicit trace context), RAG retrieval (rag.search with top-K/results/hybrid flags), and MCP client/server requests — with W3C traceparent propagated through MCP _meta (spec 2026-07-28 convention) so client and server processes share one distributed trace. Zero overhead when no TAiTelemetry instance is enabled. Demo 031 gains an --otel flag. Runtime-tested end-to-end (27 spans, cross-process trace propagation, live OpenAI chat span with token usage)
• New: MCP spec 2026-07-28 (stateless) — dual-era support — the server implements server/discover, per-request _meta (protocol version, client identity, capabilities), resultType + serverInfo on every result, ttlMs/cacheScope cache hints on list results, and the reserved error codes -32020 (HeaderMismatch) / -32022 (UnsupportedProtocolVersion with data.supported). Modern stateless requests bypass the session gate with per-request OnClientConnect vetting; the legacy initialize handshake + Mcp-Session-Id gating remain fully functional
• New: MCP client dual-era probe — TMCPClientStdIo / TMCPClientHttp try server/discover and fall back to the legacy handshake automatically (NegotiatedProtocol exposes the result); modern requests carry _meta plus the MCP-Protocol-Version / Mcp-Method / Mcp-Name headers; the StdIO reader now rescues JSON-RPC embedded in noisy stdout lines
• New: MRTR (Multi Round-Trip Requests) — tools can request user input via elicitation: the server plumbs params.inputResponses / params.requestState into TAiAuthContext; the client's new OnInputRequired event drives the retry loop (max 3 rounds, opaque requestState echo; assigning the handler declares the elicitation capability). New demo tool confirm_demo in 031-MCPServer
• Update: MCP spec alignment — deterministic tools/list / resources/list ordering (client caching + LLM prompt-cache friendly); unknown tool/resource now returns -32602 Invalid Params; the 031 demo sends banners to stderr in stdio mode (stdout is protocol-only)
• Note: the legacy HTTP+SSE transport is formally Deprecated by MCP spec 2026-07-28 (earliest removal from the spec: July 2027, 12-month minimum window); MakerAI keeps it as frozen legacy — prefer HTTP or StdIO for new work

v3.5.0 (2026-08-01)

• New: Typed ModelConfig channel — ModelCaps/SessionCaps/Tool_Active/ThinkingLevel moved out of Params/RTTI into a typed surface with per-field user pins (UserFields) and transparent compatibility migration
• New: MSSQL driver for RAG Vector (FireDAC SQL Server)
• New: Agents hardening — strict JSON graph validation, public RTTI mapper TAiToolParams, [TSecret] attribute, out_failure in conditional mode, Compile no longer clears the Blackboard
• New: ChatTools single surface with OnChange propagation; ToolCall.ResMsg available in streaming; media delivered at OnReceiveDataEnd
• Fix: LastError now populated on every error path — DoError assigns FLastError, so synchronous callers can diagnose HTTP 4xx/5xx (previously empty string with no exception)
• New: Grok video generation — TAiGrokChat.InternalRunNativeVideoGeneration implements the grok-imagine async video job (POST /videos/generations + polling + mp4 download as TAiMediaFile), with new VideoDurationSeconds property; activated via cmVideoGeneration or the [cap_GenVideo] gap. Runtime-tested (image generation also verified live)
• New: xAI Grok Aug 2026 — full catalog turnover: grok-4.3 (new driver default, 1M ctx, vision + always-on reasoning), grok-4.5 (premium), grok-build-0.1 (coding), grok-imagine-image-quality and grok-imagine-video-1.5 registered; entire grok-3/grok-4-fast/4.1 families and grok-2 models retired with compatibility aliases (grok-3→grok-4.3, etc.). Runtime-tested 6/6
• New: Groq Aug 2026 — qwen/qwen3.6-27b registered (replaces retired qwen3-32b, alias kept) plus allam-2-7b; retired entries removed (llama-4-scout, moonshotai/kimi-k2-instruct(-0905)). Fix: openai/gpt-oss-120b is text-only on Groq — cap_Image removed (no vision chat model on Groq currently). Runtime-tested 4/4
• New: Cohere Aug 2026 — command-a-plus-05-2026 flagship (436K ctx, vision + always-on reasoning) and north-mini-code-1-0 registered; thinking-mode control via cap_Reasoning (blocks captured into ReasoningContent/OnReceiveThinking, non-streaming and streaming); Rerank v4.0 and tiny-aya noted; retired 8b Aya entries removed. Fix: synchronous tool-calling return was always empty (second round now reuses the same ResMsg). Runtime-tested 5/5
• New: DeepSeek V4 — deepseek-v4-flash (new driver default) and deepseek-v4-pro (1M ctx, 384K output); explicit thinking-mode control (cap_Reasoning + ThinkingLevel → thinking/reasoning_effort, disabled otherwise since the API defaults to thinking ON); retired aliases deepseek-chat/deepseek-reasoner flagged (officially sunset Jul 24, 2026). Runtime-tested 4/4 including tool calling in thinking mode
• New: Kimi K3 family — kimi-k3 (new driver default, 1M ctx, vision + reasoning), kimi-k2.7-code/-highspeed and kimi-k2.6 registered; retired models (kimi-k2, kimi-k2-thinking) removed and Aug 31 sunsets flagged (kimi-k2.5, moonshot-v1-*). Fix: the new family rejects top_p (400) — removed from Kimi defaults. Runtime-tested 4/4 including K3 vision
• New: Mistral Voxtral TTS — voxtral-mini-tts-2603 via POST /v1/audio/speech (TtsVoice from the /v1/audio/voices catalog + TtsFormat); activated by the [cap_GenAudio] gap; runtime-tested. Plus OCR 4 support: OcrIncludeBlocks (paragraph-level bounding boxes) and page-range syntax
• New: Gemini 3.5/3.6 family registered (gemini-3.5-flash + gemini-flash-latest alias, gemini-3.6-flash, gemini-3.5-flash-lite), Nano Banana GA image models (gemini-3.1-flash-image, gemini-3-pro-image, gemini-3.1-flash-lite-image), gemini-omni-flash-preview (video) and gemini-embedding-2; the driver omits deprecated sampling params (temperature/topP) on the 3.5+/3.6/omni family. Veo 2.0/3.0 profiles removed (shut down by Google Jun 30) and Imagen 4.0 shutdown (Aug 17) flagged. Not runtime-tested — no Gemini API key available
• New: Claude driver phase 2 — FastMode (speed:"fast", Opus 5/4.8, research preview — requires org quota), mid-conversation system messages in the history (cache-preserving on Opus 5/4.8/Fable; auto-degraded to <system-reminder> user turns elsewhere), EnableCompaction (server-side compaction with compaction-block echo), RefusalFallbackModel (server-side fallback on refusals), and aa_claude-sonnet-5-thinking / aa_claude-opus-5-thinking / aa_claude-opus-5-agent profiles; runtime-tested 4/4 (Fast mode blocked only by org quota)
• New: Claude 5 family support — claude-opus-5, claude-sonnet-5, claude-fable-5, plus claude-opus-4-7/claude-opus-4-8 registered; the driver now sends thinking: {type: "adaptive"} on the 4.6+ families and maps ThinkingLevel → output_config.effort (budget_tokens/sampling params return 400 on 4.7+ and are only sent on legacy models). Runtime-tested (sonnet-5, opus-4-6 adaptive, haiku legacy)
• Update: Claude driver — output_format migrated to output_config.format; web search upgraded to web_search_20260209 (dynamic filtering) on 4.6+; stop_reason: "refusal" now parses stop_details and fires OnError
• New: TAiOpenAiRealtimeTranslate — streaming speech translation via gpt-realtime-translate (wss://api.openai.com/v1/realtime/translations); continuous stream without VAD/turns; emits translated text (OnAssistantTextDelta), translated TTS audio (OnAudioChunk) and optional source transcript (SourceTranscription); runtime-tested (es→en)
• New: demo 071-VoiceBridgeTranslate — the 063 voice bridge refactored with TAiOpenAiRealtimeTranslate: one WebSocket per direction replaces the STT→LLM→TTS pipeline (lower latency, ~1/3 of the code)
• New: GPT-5.6 family registered (gpt-5.6-sol / -terra / -luna + gpt-5.6 alias) — 1.05M ctx, vision + reasoning + tools; gpt-5.6-luna runtime-tested
• Update: Realtime session default model → gpt-realtime-2.1 (better alphanumeric recognition and noise handling) in TAiOpenAiRealtimeSTT and demos 062–064
• Update: TAiDalle / TAiDalleImageTool default model → gpt-image-1 — the dall-e-2/dall-e-3 snapshots were deprecated by OpenAI (May 2026); both remain selectable while the API accepts them
• New: OpenAI gpt-transcribe / gpt-live-transcribe (Whisper successors, Aug 2026) — TAiOpenAiAudio gains tmGptTranscribe/tmGptLiveTranscribe with TranscriptionKeywords + TranscriptionLanguages; TAiOpenAiRealtimeSTT defaults to gpt-live-transcribe with new context props (TranscriptionPrompt, TranscriptionKeywords, Languages, LowDelay); both runtime-tested. Registry entries added
• Update: VoiceBridge demos (062–065) migrated to gpt-live-transcribe on live channels (contextual prompt + guided language autodetection); diarized channels stay on gpt-4o-transcribe-diarize (new models don't support diarization)
• New: TAiGrokRealtimeChat — xAI Grok Voice speech-to-speech driver (wss://api.x.ai/v1/realtime, OpenAI Realtime-compatible, 24 kHz PCM16); live user transcription + streamed assistant text and TTS audio; runtime-tested against the live API
• New: Voice function calling for Grok Voice — AiFunctions (TAiFunctions: local functions + MCP) declared as session tools; automatic tool round-trip (worker-thread execution, function_call_output, single continuation response.create); OnCallToolFunction fallback event; runtime-tested end-to-end
• New: Grok Voice extras — EnableWebSearch / EnableXSearch (xAI server-side tools), OutputSpeed, Keyterms, PronunciationReplace, ForceMessage() (scripted TTS)
• New: Grok Voice phase 3 — session resumption with turn replay (EnableResumption + ConversationId), binary audio transport (BinaryAudio), ephemeral tokens (MintEphemeralToken + EphemeralToken), file_search over Collections and remote MCP via CustomToolsJson; all runtime-tested except MCP declarations
• New: TAiRealtimeVoiceBase — shared base for full-duplex voice drivers (OnAssistantText, OnAssistantTextDelta, OnAudioChunk, OnAudioDone); TAiMakerAiRealtimeChat and TAiRealtimeConnection now inherit from it, so voice events flow through the universal connector

v3.4 (May 2026)

• Tested with Delphi 13.1 Florence
• Selective driver registration — each driver self-registers only when imported
• New: TAIChatView — next-generation Skia-native virtualized chat renderer (single canvas, no FMX child controls, multi-message text selection, dark/light theme, mobile long-press)
• New: TAIChatInput — fully Skia-painted input bar with custom dropdown overlay, attachment chips, voice indicator (no TPopupMenu / no FMX buttons)
• New: TAiRealtimeConnection + TAiOpenAiRealtimeSTT — real-time STT via WebSocket (24 kHz PCM16, VAD, streaming transcription; pure-Pascal TLS via Windows SChannel)
• New: cmSmartDispatch chat mode — two-pass intelligent routing
• Models: claude-opus-4-7, gpt-5.4/5.5, gemini-3.1-pro, grok-4-fast, kimi-k2, groq llama-4
• Fix: Claude Opus 4.7 Adaptive Thinking — HTTP 400 eliminated (temperature/top_p/top_k + thinking block now omitted for claude-opus-4-7)
• Fix: AV on async abort — nil guard in TAiChatConnection.OnInternalReceiveDataEnd
• Fix: TStringStream leak in async HTTP requests — FCurrentPostStream lifetime now correctly tied to request completion
• Fix: RegisterDefaultParams Max_Tokens key corrected in 10 drivers
• Fix: ApplyParamsToChat TryStrToFloat now locale-independent
• Fix: Agent jmAll join node premature firing on retries
• Fix: TChatBubble spurious vertical scrollbar eliminated
• New: TChatInput.EnterAsSend property
• New: TAiDatabaseCheckpointer — FireDAC-based checkpoint persistence; works with SQLite, PostgreSQL, Firebird, MySQL, SQL Server, and any other FireDAC driver
• Fix: D11 Alexandria compatibility — TInterlocked.Exchange(Boolean) (D12-only) replaced with Integer-based atomic; AddStream(AShareOwnership) boundary corrected to CompilerVersion >= 36; THashSet<T> boundary corrected to CompilerVersion >= 36
• Fix: ModelCaps / SessionCaps duplicated in the Object Inspector — TAiChat published these at both the root level and inside ModelConfig, out of sync with each other. Now there's a single source of truth (ModelConfig.ModelCaps / ModelConfig.SessionCaps); the root shortcuts still work in code but were moved out of published, so the Object Inspector shows the property only once

v3.3 (February 2026)

• New TAiCapabilities system (ModelCaps / SessionCaps / ThinkingLevel)
• Models updated: OpenAI gpt-5.2, Claude 4.6, Gemini 3.0, Grok 4, Mistral Magistral, DeepSeek-reasoner, Kimi k2.5
• Agents: durable execution (checkpoints), human-in-the-loop approval tool
• RAG: Graph Document management (uMakerAi.RAG.Graph.Documents)
• Fix: reasoning_content preserved in multi-turn tool calls (DeepSeek, Kimi, Groq)
• New: TAiEmbeddingsConnection, TAiAudioPushStream
• New demos: DocumentManager, ChatWebList

v3.2 (January 2026)

• Native ChatTools framework (IAiPdfTool, IAiVisionTool, IAiSpeechTool, etc.)
• Unified deterministic tool orchestration and capability bridges

v3.1 (November 2025)

• GPT-5.1, Gemini 3.0, Claude 4.5 initial support
• FMX multimodal UI components
• RAG Rerank + Graph RAG engine
• MCP Server framework (SSE, StdIO, HTTP)

v3.0 (October 2025)

• Major architecture redesign
• Visual FMX chat components
• Graph-based vector database
• Delphi 10.4–13 compatible (limited: 10.4 Sydney; full support: 11 Alexandria+)

v2.5 (August 2025)

• MCP Client/Server (Model Context Protocol)
• Agent graph orchestration
• Linux/POSIX full support

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💬 Community & Support

• Website: https://makerai.cimamaker.com
• Manual (EN/ES): https://www.gustavoenriquez.com/book-makerai
• Telegram (Spanish): https://t.me/MakerAi_Suite_Delphi
• Telegram (English): https://t.me/MakerAi_Delphi_Suite_English
• Email: [email protected]
• GitHub Issues: https://github.com/gustavoeenriquez/MakerAi/issues

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📜 License

MIT License — see LICENSE.txt for details.

Copyright © 2024–2026 Gustavo Enríquez — CimaMaker