claude-mem

claude-mem is a RAG toolkit - Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More.

Overview

Claude-Mem seamlessly preserves context across sessions by automatically capturing tool usage observations, generating semantic summaries, and making them available to future sessions. This enables Claude to maintain continuity of knowledge about projects even after sessions end or reconnect.

Grok Bot has no host hooks, so we watch the chat log files. Default is CMEM Pro, the hosted memory. Local observer is opt-in: '--provider host'. Installing this plugin does not install Cursor.

Awareness push pilot (LFG + Orifice): needle observations ('decision', 'bugfix', 'security_alert', 'sensitive') are appended as dated '- YYYY-MM-DD [awareness] …' lines into that bot's 'memory/log/YYYY-MM.md'. Grok Bot already re-reads the log from disk. This does not write 'profile.md', user-memory, or project memory. Disable with 'CLAUDE_MEM_GROK_BOT_AWARENESS_ENABLED=false'.

The installer sets everything up first, then asks you to sign in to claude-mem in your browser (email magic link — no card required). Signing in provisions a memory key for your account and unlocks the claude-mem observer with a 30 Day Free Trial: memory runs off-plan, so you get up to 100% more usage from your plan. When the free trial ends, memory automatically falls back to your Anthropic plan unless you subscribe. After sign-in you pick your memory provider — the claude-mem observer, your own OpenRouter or Gemini key, or your Anthropic plan.

claude-mem is open-source, written primarily in TypeScript, with 100,788 GitHub stars under the Apache 2.0 license. The latest release is v13.39.0 (2026-10-13).

Key capabilities

From the project's documentation:

• 🧠 Persistent Memory - Context survives across sessions
• 📊 Progressive Disclosure - Layered memory retrieval with token cost visibility
• 🔍 Skill-Based Search - Query your project history with mem-search skill
• 🖥️ Web Viewer UI - Real-time memory stream at the worker URL printed on startup
• 💻 Claude Desktop Skill - Search memory from Claude Desktop conversations
• 🔒 Privacy Control - Use tags to exclude sensitive content from storage

How it fits a local-AI stack

claude-mem runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related RAG toolkits in the directory:

• AnythingLLM
• "graphify"
• Haystack
• Khoj

Sources

• Source code & docs: thedotmack/claude-mem
• Official website: https://claude-mem.ai

Stats from GitHub, 2026-10-15.