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

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