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ContextFS

Persistent Memory for AI Agents - Give your AI tools memory that persists across sessions.

PyPI CI Coverage License: MIT Python 3.10+

Full Documentation | Get Started

Install

# With pip pip install contextfs # With uv (recommended) uv pip install contextfs # Run directly without installing uvx contextfs

Quick Start

# Initialize your repo for indexing contextfs index init # Save a memory contextfs memory save "Use PostgreSQL for database" --type decision # Search memories contextfs memory search "database" # Index your codebase for semantic search contextfs index index

MCP Integration

Add to your AI tool's MCP config:

{ "mcpServers": { "contextfs": { "command": "uvx", "args": ["contextfs"] } } }

Works with: Claude Code, Claude Desktop, Cursor, VS Code, and any MCP-compatible client.

See tool-specific setup guides for detailed instructions.

Key Features

  • Semantic Search - Find relevant memories using natural language

  • Auto Code Indexing - Index your entire codebase for context-aware AI

  • Cross-Session Memory - Decisions, facts, and patterns persist across conversations

  • Multi-Tool Sync - Share memory between Claude, Cursor, VS Code, and more

Python SDK

from contextfs import ContextFS ctx = ContextFS() # Save ctx.save("Use JWT for auth", type="decision", tags=["auth"]) # Search results = ctx.search("authentication")

Cloud Sync

Enable cross-device memory sync:

contextfs cloud login contextfs cloud sync

Sign up at contextfs.ai for cloud features.

Documentation

Visit contextfs.ai/docs for:

  • Installation guides for each AI tool

  • API reference

  • Memory types and best practices

  • Cloud sync setup

License

MIT - Matthew Long and The YonedaAI Collaboration

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