AIBrain adds persistent memory and self-improvement to Claude Code

AIBrain is a brain layer that sits underneath Claude Code to provide persistent memory and self-improvement capabilities between sessions. It addresses the issue where Claude Code resets to a blank slate after each session, even with manual CLAUDE.md files.
Key Features
- Persistent Memory: Claude remembers what you told it, what it learned, what worked and what didn't. Uses semantic search to pull in only relevant information.
- Self-Improvement: Between sessions, an evolution cycle extracts learnings, detects recurring patterns, and consolidates memory, making your Claude instance better at working with you over time.
- 53 Workflows + 44 Skills: Includes Git workflows, code review patterns, deployment checklists loaded as skills Claude can use. Users can add their own.
- 9 MCP Servers: Telegram integration, email, file operations, memory tools. Claude can message you when a task finishes.
- Multi-Agent Mesh: When running Claude Code on multiple machines, they share memory and communicate via Tailscale mesh networking.
- Memory Routing: Uses SelRoute (selective routing) technique that routes different query types to different retrieval strategies instead of one-size-fits-all semantic search.
Technical Details
- Installation:
pip install aibrainwith a setup wizard that handles everything. - Compatibility: Works with any local model (Ollama, llama.cpp, etc.) and is not locked to any provider.
- Pricing: Free tier has everything for single-machine use. Pro tier ($9.95/month) adds mesh networking and marketplace access.
📖 Read the full source: r/ClaudeAI
👀 See Also

Claude Watch: Open Source Tool Visualizes AI-Generated Code Logic
Claude Watch is an open source tool that provides graphical semantic visualization for projects built with AI coding agents like Claude Code. It analyzes code in a nested way and includes AI-powered search to answer questions about project logic.

n8n-mcp-lite: MCP server reduces token usage by 80% for Claude with n8n workflows
A new open-source Model Context Protocol server called n8n-mcp-lite helps Claude reason about n8n automation workflows while reducing token usage by approximately 80%. The tool addresses the token-heavy nature of visual node automations by providing targeted workflow scanning and surgical updates.

Freddy MCP Server: Give Your OpenClaw Agent Read Access to Personal Health Data
Freddy is a personal health data server that exposes sleep, recovery, training load, and more as an MCP server, allowing OpenClaw agents to reason over real body data.
freddy CLI: Wire Garmin & Other Wearables into OpenClaw via MCP
freddy CLI now supports Garmin alongside Polar, Oura, Withings, Suunto, Intervals.icu, and Hevy. Run `freddy connect garmin` then query sleep, HRV, Body Battery, and workouts from any MCP-speaking agent.