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Persistent semantic memory layer for AI agents

Project description

ContextMesh

Persistent memory layer for AI agents.

Every agent starts blind. ContextMesh gives them shared memory.

What it is

A simple API + vector store that any AI agent (Claude, Cursor, custom) can write context to and read from. Namespaced per workspace. Semantic search. Cross-tool, cross-session.

Structure

contextmesh/
  api/
    vector_store.py   # Qdrant wrapper — embed, store, query
    embedder.py       # text → 1536-dim vector (OpenAI ada-002)
    main.py           # FastAPI — 4 endpoints
    auth.py           # API key validation + plan limits
    requirements.txt
  mcp_server.py       # MCP protocol server (stdio)
  sdk/
    contextmesh.py    # Python SDK
    contextmesh.js    # JS/TS SDK
  dashboard/
    index.html        # Web dashboard
  landing/
    index.html        # Marketing landing page
  infra/
    docker-compose.yml

Quick Start

1. Run locally

cd infra
OPENAI_API_KEY=sk-... docker-compose up

2. Generate a dev key

curl -X POST "http://localhost:8000/dev/generate-key?workspace_id=myteam&plan=team"

3. Use the Python SDK

from contextmesh import Mesh
mesh = Mesh("cm_live_your_key", base_url="http://localhost:8000")

mesh.remember("prod DB is postgres 15 on AWS us-east-1", tags=["database"])
results = mesh.query("what should I know about our database?")

4. Use the MCP server

Add to ~/.cursor/mcp.json or ~/.claude/mcp.json:

{
  "contextmesh": {
    "command": "python3",
    "args": ["/path/to/contextmesh/mcp_server.py"],
    "env": {
      "CM_KEY": "cm_live_your_key",
      "CM_URL": "http://localhost:8000"
    }
  }
}

API Endpoints

Method Path Description
POST /remember Store context
POST /query Semantic search
DELETE /forget/{id} Remove entry
GET /list Browse entries
GET /usage Check plan usage
GET /health Liveness check

Deploy to Fly.io

fly launch
fly secrets set OPENAI_API_KEY=sk-... REDIS_URL=redis://...
fly deploy

Pricing (production)

Plan Price Workspaces Entries Queries/mo
Solo $19/mo 1 500k 100k
Team $99/mo 10 5M 1M
Enterprise $599/mo

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