Anneal Memory

This implements episode storage with compression and citation-based validation to help agents build continuity without accumulating noise. You get four tools: record observations and decisions as typed episodes, recall by keyword or type, prepare_wrap to fetch uncompressed episodes for LLM summarization, and save_continuity to validate and store the compressed output with hash-chained audit trails. The validation layer checks for cited evidence and flags patterns without episode support. Reach for this when you need persistent agent memory that degrades gracefully instead of drifting into hallucinated patterns. Ships as a Python library first with CLI and MCP transports over the same core. Works with LangGraph, CrewAI, OpenAI Agents, or any framework that can call record and recall hooks around agent loops.