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OpenClaude Server

БесплатноНе проверен

A high-performance control plane for Ollama-based local LLM sessions with background memory consolidation, hybrid cloud planning, and real-time fleet monitoring

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Описание

A high-performance control plane for Ollama-based local LLM sessions with background memory consolidation, hybrid cloud planning, and real-time fleet monitoring.

README

Just Ruff Python Biome FastMCP

📖 Installation Guide — quick start, manual setup, and troubleshooting

A high-performance control plane for Ollama-based local LLM sessions, with background memory consolidation (KAIROS), hybrid cloud planning (ULTRAPLAN), and real-time fleet monitoring. Optimized for RTX 4090 environments.

Features

  • Background Memory (KAIROS): Auto-consolidates session data into MEMORY.md using asynchronous background cycles. Configurable poll interval and consolidation budget. State persists across restarts.
  • Session Management: Launch, prompt, monitor, and stop multiple OpenClaude subprocesses concurrently. Persistent across restarts with usage analytics (prompts, output chars, estimated tokens).
  • Multimodal Input: Send images (png, jpeg, webp, gif) alongside text instructions via the send_multimodal tool. Works with any vision-capable Ollama model.
  • Ollama Control Plane: Model management with VRAM/speed/context metadata, health checks, default persistence.
  • Hybrid Planning (ULTRAPLAN): Optional cloud Opus/Sonnet handoff for complex reasoning, local execution. Token cost tracking included.
  • Fleet Observability: React dashboard with real-time SSE push, xterm.js terminal, system log viewer, KAIROS status, interactive API playground.
  • Interactive Examples: Live "Run" buttons on every example — calls the real backend, shows response JSON with timing.
  • API Reference: Searchable documentation with parameter tables, return schemas, env vars, error codes for all 15 tools.
  • Safety Guardrails: Kid-safe mode with content filters, proactive privacy reminders, caregiver alerts (file + webhook).
  • Dual Transport: MCP SSE (Claude Desktop) + REST bridge (webapp/curl) on the same port.

Quick Start

git clone https://github.com/sandraschi/openclaude-mcp
cd openclaude-mcp
just

This opens an interactive dashboard showing all available commands. Run just bootstrap to install dependencies, then just serve or just dev to start.

Manual Setup

If you don't have just installed: .\setup.ps1 .\start.ps1

  • SSE Endpoint: http://localhost:10932/sse
  • Fleet Dashboard: http://localhost:10933
  • API Events: http://localhost:10932/api/events (SSE push)
  • Health API: http://localhost:10932/api/health Or with Docker: docker compose up

Available Tools (15)

Tool Action
start_session Initialize a new Ollama session
send_prompt Execute a prompt in an active session
send_multimodal Send text + images to a session (png, jpeg, webp, gif)
session_status Get output/status/usage/elapsed of a session
list_sessions List all active sessions
stop_session Stop and clean up a session
kairos_enable Activate background memory consolidation
kairos_disable Halt background memory consolidation
kairos_log Retrieve KAIROS consolidation log
list_models Inventory of available Ollama models
set_default_model Set default model for new sessions
model_status Check VRAM and load status
ultraplan Hybrid cloud/local planning cycle
fleet_dashboard Prefab UI fleet status overview
fleet_status Raw fleet status JSON
caregiver_alert [KID-SAFE] Notify caregivers of high-risk interaction

Architecture

                    ┌─────────────────┐
                    │  Claude Desktop  │── SSE ──────┐
                    │  Cursor / VSCode │             │
                    └─────────────────┘             │
                                                    ▼
┌──────────────┐  REST  ┌────────────────────────────┐  stdio (NDJSON)  ┌──────────────────┐
│  React Webapp│───────►│  server.py (FastMCP 3.2)   │◄────────────────│  OpenClaude CLI   │
│  (SSE push)  │◄───────│  + SessionStore             │    subprocess    │  (Node.js/Bun)    │
└──────────────┘        │  + ModelRouter              │◄───────────────►│  + Ollama :11434  │
                        │  + KairosController         │                 └──────────────────┘
                        │  + SessionPersistence       │
                        │  + SSE Event Bus            │
                        └────────────────────────────┘

Configuration (env vars)

Variable Default Description
OPENCLAUDE_MCP_PORT 10932 Backend port
OPENCLAUDE_MCP_TOKEN REST auth token (disable if unset)
OPENCLAUDE_DIR D:\Dev\repos\external\openclaude OpenClaude source path
OPENCLAUDE_ULTRAPLAN_MODEL claude-sonnet-4-6 Anthropic model for ULTRAPLAN
OPENCLAUDE_CONFIG_DIR ~/.config/openclaude Persistence directory
KAIROS_POLL_SECONDS 30 KAIROS daemon poll interval
KAIROS_MAX_CONSOLIDATIONS 100 Max consolidations per session
CAREGIVER_WEBHOOK_URL Webhook for caregiver alerts

Prerequisites

  • Ollama (running locally)
  • Node.js (v20+)
  • Python 3.13+ with uv
  • Local model pulled (e.g., gemma4:26b, qwen3.5:35b-a3b)

Test Suite

uv run pytest                    # 79 tests (unit + smoke + integration + e2e)
uv run pytest tests/unit/        # fast, no external deps
uv run pytest tests/e2e/         # Anthropic API mocked via respx

License

MIT

from github.com/sandraschi/openclaude-mcp

Установка OpenClaude Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/sandraschi/openclaude-mcp

FAQ

OpenClaude Server MCP бесплатный?

Да, OpenClaude Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для OpenClaude Server?

Нет, OpenClaude Server работает без API-ключей и переменных окружения.

OpenClaude Server — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить OpenClaude Server в Claude Desktop, Claude Code или Cursor?

Открой OpenClaude Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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