Wyrm Mcp
БесплатноНе проверенLocal-first persistent memory for AI agents over MCP. Ground truths, negative learning (recorded failures block repeats), decision causality, hybrid recall, liv
Описание
Local-first persistent memory for AI agents over MCP. Ground truths, negative learning (recorded failures block repeats), decision causality, hybrid recall, live memory streams, run-attributed fleet memory — a structured SQLite memory on your machine, no
README
Persistent memory for AI agents, over MCP.
Ground truths, recorded failures that block repeats, decision causality, and hybrid recall.
A structured SQLite memory on your machine. No cloud, no separate LLM.
Website · Quickstart · Discussions · Changelog
What it is
Most AI coding sessions start from zero. Wyrm gives the agent a memory that persists across them. It keeps your project's decisions, conventions, open work, and dead-ends in a structured database on your own machine, and hands them back to the model at the start of the next session. An agent connected to Wyrm recalls what was decided last week instead of re-deriving it, and can be stopped from repeating an approach that already failed.
It speaks the Model Context Protocol, so it drops into Claude, Cursor, Copilot, Windsurf, and Codex without glue code.
Quickstart
npm install -g wyrm-mcp # install
wyrm-setup # wire it into your AI clients, then restart them
Then, from inside your client, ask it to call wyrm_capabilities to confirm the connection. The everyday loop is four steps the agent runs on its own once the habit sets in:
prime → load the project's truths, quests, and dead-ends at session start
recall → retrieve what you know before re-deriving it
check → before retrying an approach, ask if it already failed
capture → store durable facts, lessons, and tasks as you go
Measured, not asserted
Every number Wyrm publishes comes from a benchmark committed to the source, reproducible on your own data. The negative-learning firewall and the recall lift are the two that matter most, and both are covered below.
Why Wyrm
It remembers what failed, not just what worked
Most memory tools store successes. Wyrm also records dead-ends and blocks the repeat. You record a failed approach with wyrm_failure_record, and a later wyrm_failure_check surfaces it before the agent walks back into it. Across a session that stops re-litigating solved problems; across a fleet of agents, one worker's dead-end warns the rest, once.
Recall that finds things by meaning, not just keywords
wyrm_recall runs keyword search (FTS5) and semantic search over a vector index, fuses them, and reranks. It is hybrid by default, no configuration required. For higher accuracy you can opt into NVIDIA NIM retrieval (below).
Local-first, and honest about egress
By default nothing leaves your machine. The database is a single SQLite file at ~/.wyrm/wyrm.db. When you do opt into a hosted embedding path, Wyrm reports exactly what left and where, in a determinism receipt and on its health endpoint. The privacy claim is one you can verify from the runtime, not just the docs.
Built for one agent or a fleet
Every memory is attributed to the agent and run that produced it, so a swarm of agents can share one accountable memory bus, with failures kept private to your account by default. A live event stream keeps devices in sync.
NVIDIA NIM retrieval (optional)
Wyrm can use NVIDIA NIM for embeddings and reranking when accuracy is worth a hosted call. On a retrieval benchmark committed in the repo, recall@1 moved from 33% on the local baseline to 47% with NIM embeddings and 52% with NIM reranking added. It is an explicit opt-in, off by default, and the egress is disclosed on every call.
export WYRM_VECTOR_PROVIDER=nim
export WYRM_RERANK_PROVIDER=nim
export NIM_API_KEY=nvapi-...
Ghost Protocol (Pvt) Ltd is a member of NVIDIA Inception.
Works with
Claude (Code, desktop, web) · Cursor · GitHub Copilot · Windsurf · Codex, and any MCP-capable client.
Requirements
Node.js 22 or newer. Optional: a local Ollama with nomic-embed-text for semantic recall without any hosted call.
Community and feedback
Wyrm sends no telemetry, so the way we learn what is working is you telling us.
wyrm feedbackfrom your terminal opens a prefilled report. Add--bug,--idea, or--question.- Discussions for questions, ideas, and how it is going.
- Issues for bugs and concrete requests.
- Email [email protected].
If Wyrm earned a place in your workflow, a star helps other people find it.
License
Wyrm is proprietary software, free to use under the Wyrm license and Terms of Service. This repository is the public home for the docs, the changelog, and the community. The source is not published here. For a commercial license (embedding Wyrm in a closed product, or running it as a managed service), contact [email protected].
Built by Ghost Protocol · Colombo, Sri Lanka
NVIDIA, the NVIDIA logo, and NVIDIA Inception are trademarks and/or registered trademarks of NVIDIA Corporation.
Установить Wyrm Mcp в Claude Desktop, Claude Code, Cursor
unyly install wyrm-mcpСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add wyrm-mcp -- npx -y wyrm-mcpFAQ
Wyrm Mcp MCP бесплатный?
Да, Wyrm Mcp MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Wyrm Mcp?
Нет, Wyrm Mcp работает без API-ключей и переменных окружения.
Wyrm Mcp — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Wyrm Mcp в Claude Desktop, Claude Code или Cursor?
Открой Wyrm Mcp 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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