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Cross-project memory for AI coding agents

Project description

crossmem

PyPI Python Downloads License

One search across all your Claude Code, GitHub Copilot, and Gemini CLI memories — every project, every tool.

Before and after crossmem

crossmem demo

The problem

You use AI coding assistants across multiple projects. Each project's memories are locked in a silo — and each tool has its own silo too. You solved credential masking in your backend API three months ago, but when you need it in a new microservice, your AI assistant starts from scratch.

~/.claude/projects/
├── backend-api/memory/MEMORY.md    ← Claude remembers here
├── mobile-app/memory/MEMORY.md    ← ...but can't see here
└── data-pipeline/memory/MEMORY.md ← ...or here

~/.gemini/GEMINI.md                ← Gemini's memories (separate silo entirely)

Every project is a silo. Every tool is a silo. Knowledge doesn't compound — it resets.

The fix

pip install crossmem
crossmem setup     # one-time: hooks + instructions + ingest

That's it. Every Claude Code, Copilot, and Gemini session now starts with cross-project context — automatically. No per-project setup. New projects auto-initialize on first access.

What happens under the hood

cd ~/any-project
claude                    # hook fires → auto-ingest → auto-init → recall
  1. Auto-ingest — pulls new memories from Claude, Copilot, and Gemini native files
  2. Auto-init — first time in a project? Indexes README.md, CLAUDE.md, etc.
  3. Tiered recall — returns the most relevant context within a token budget: curated memories → tool memories → CLAUDE.md → CONTRIBUTING.md → README.md

Works on startup, resume, and compact — long sessions stay fresh.

How crossmem differs

  • vs Mem0 — Mem0 is cloud-based and requires an API key. crossmem is local-only with zero accounts.
  • vs Basic Memory — Basic Memory works within one tool. crossmem aggregates across tools and projects.
  • vs grep — crossmem parses multiple formats, deduplicates, and runs as an MCP server — your AI assistant queries it automatically.

Quick start

pip install crossmem      # 1. Install (or: uv pip install crossmem)
crossmem setup            # 2. One command: hooks + instructions + ingest

Done. Every AI coding session now has cross-project memory.

setup runs three things:

  • install-hook — Claude Code SessionStart hook (fires on startup, resume, compact)
  • install-instructions — Copilot + Gemini config files (prompts mem_recall() at session start and after compaction)
  • ingest — pulls existing memories from all tools into the crossmem DB

To also enable MCP tools (search, save, update), add the MCP server to your config (see MCP Server below).

Usage

# One-time setup (hook + instructions + ingest)
crossmem setup

# Recall memories for current project (runs automatically via hook)
crossmem recall                  # auto-detects project from cwd
crossmem recall -p backend-api   # explicit project

# Search across every project
crossmem search "JWT token rotation"
crossmem search "retry strategy" -p backend-api
crossmem search "docker compose" -n 5

# Save a discovery
crossmem save "Always use middleware for credential masking" -p backend-api -s Patterns

# Update a memory in place (preserves ID)
crossmem update 42 "corrected content here"
crossmem update 42 "moved content" -s Experiments  # change section too

# Delete stale or wrong memories
crossmem forget 42                   # delete memory #42 (with confirmation)
crossmem forget -p old-app           # delete all memories for a project
crossmem forget 42 --confirm         # skip confirmation prompt

# Index project documentation manually (usually auto-detected)
crossmem init                        # current directory
crossmem init -p my-api              # explicit project name
crossmem init --path ~/projects/api  # different directory

# Re-ingest tool memories manually
crossmem ingest

# Auto-load memories at Claude Code session start
crossmem install-hook            # one-time setup (included in setup)
crossmem install-hook --uninstall  # remove the hook

# Add mem_recall instruction to Copilot + Gemini configs
crossmem install-instructions        # per-project for Copilot, global for Gemini
crossmem install-instructions --uninstall

# Visualize the knowledge graph
crossmem graph

# See what's in the database
crossmem stats

Legacy commands

These still work but are deprecated — MCP + auto-ingest handle this automatically now.

crossmem sync                        # one-way Claude → Gemini file sync
crossmem sync -p backend-api        # sync one project
crossmem sync-watch                  # polls every 30s

How it works

  1. Auto-ingest — Every recall pulls the latest memories from Claude Code, Copilot, and Gemini CLI native files
  2. Auto-init — First access to a new project? crossmem finds README.md, CLAUDE.md, etc. and indexes them automatically
  3. Index — Stores everything locally in SQLite — no cloud, no API keys, no accounts
  4. Tiered recall — Returns the most relevant context within a token budget: curated > tool memories > CLAUDE.md > CONTRIBUTING.md > README.md
  5. Search — Full-text search with stemming. Multi-word queries use AND logic; quoted phrases for exact matches
  6. Learn — AI tools save new discoveries via mem_save during sessions. Knowledge compounds automatically

How it works with your AI tools

Once the MCP server is configured, your AI assistant automatically uses crossmem:

You: "How should I handle credentials in this new service?"

AI: Let me check crossmem for existing patterns...
    [calls mem_recall → finds credential masking in 3 of your projects]

    Based on your previous work across backend-api, mobile-app, and infra-tools,
    you consistently use a middleware layer for credential masking. Here's the
    pattern from your backend-api project:
    - Credentials stored in Secret Manager, never in env vars
    - API keys masked in logs via _mask_sensitive_headers()
    ...

No copy-pasting. No "I already solved this." Your AI assistant recalls patterns from every project you've worked on — automatically.

MCP Server

crossmem runs as an MCP server so AI coding tools can search, recall, and save memories in real-time.

Setup

Add to your tool's MCP config:

Claude Code (~/.mcp.json for global, or .mcp.json in project root):

{
  "mcpServers": {
    "crossmem": {
      "command": "crossmem-server"
    }
  }
}

Gemini CLI (~/.gemini/settings.json):

{
  "mcpServers": {
    "crossmem": {
      "command": "crossmem-server"
    }
  }
}

VS Code / GitHub Copilot (.vscode/mcp.json in project root, or user settings.json):

{
  "servers": {
    "crossmem": {
      "command": "uvx",
      "args": ["--from", "crossmem", "crossmem-server"]
    }
  }
}

Note: For Claude Code and Gemini CLI, if crossmem-server isn't on PATH, use the same uvx command shown in the Copilot config above.

Note: install-instructions writes to .github/copilot-instructions.md in the current project (not global). Run crossmem setup from each project, or add it to your project template. Gemini instructions are global (~/.gemini/GEMINI.md).

Tools

Tool Description
mem_recall Load project context + cross-project patterns at session start (auto-detects project from cwd)
mem_search Search across all memories (query, project filter, limit)
mem_save Save a discovery during a session — immediately searchable
mem_update Update a memory in place — preserves ID, optionally moves section/project
mem_forget Delete a memory by ID (find IDs via mem_search)
mem_get Get the full content of a memory by ID (search results are truncated)
mem_init Index project documentation files (README, CLAUDE.md, etc.) for cross-tool recall
mem_ingest Refresh the index when memory files change (auto-runs on server startup)

Start manually

crossmem serve    # starts MCP server on stdio (same as crossmem-server)

Auto-recall (Claude Code hook)

The MCP server requires the LLM to decide when to call mem_recall. With auto-recall, memories are injected deterministically — no LLM decision needed.

crossmem setup           # installs hook + instructions + ingest (recommended)
crossmem install-hook    # or install just the hook

This adds a SessionStart hook to ~/.claude/settings.json that runs crossmem recall on:

  • startup — new session
  • resume — returning to an existing session
  • compact — context window compaction mid-session

Each recall auto-ingests the latest native memories from all tools, so long sessions stay fresh.

To remove: crossmem install-hook --uninstall

Supported tools

Tool Ingestion
Claude Code ~/.claude/projects/*/memory/*.md
Gemini CLI ~/.gemini/GEMINI.md
GitHub Copilot ~/Library/Application Support/Code/User/globalStorage/github.copilot-chat/memory-tool/memories/*.md

Ingestion is pluggable — PRs welcome for new tools.

License

MIT

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