Stores and recalls Claude Code session content as persistent memory, auto-injects relevant prior decisions and lessons at session start, and exposes 33 MCP tools for memory, knowledge-graph navigation, and cognitive profiling — backed by 41 neuroscience papers and 97.8% R@10 on LongMemEval.
A self-learning MCP server for Claude Code that captures user corrections and tool failures, distills them into skill drafts, and activates them only after human approval.
Q-learning memory for Claude Code. Persistent memory that learns which context helps you get work done. Memories that lead to productive sessions (commits, PRs, tests)
earn higher retrieval rank automatically. 16 MCP tools, hybrid BM25 + vector + Q-value scoring, local-first with Qdrant + FastEmbed.
Persistent local memory for Claude Code that indexes every session's JSONL file
verbatim into SQLite + ChromaDB. Exposes 17 MCP tools for semantic recall,
deterministic file replay, and fuzzy "do you remember when..." queries across your
entire session history — no API calls, nothing leaves the machine.
Daem0n-MCP provides AI agents with persistent, semantically indexed memory to track decisions, rules, and outcomes across sessions. It actively prevents repetitive mistakes by enforcing context checks and prioritizing information about past failures during recall. Best for Claude Code.
