Prism MCP v5.1 adds 10x memory compression and agent learning from corrections
Prism MCP v5.1 Release
Prism MCP v5.1 is a significant update to the persistent memory system for AI coding agents, featuring major improvements in memory efficiency and agent learning capabilities.
Key Features
- 10x memory compression: The team ported Google's TurboQuant to pure TypeScript, allowing agents to store millions of memories on a laptop instead of hundreds of thousands. No vector database is needed.
- Agent learns from mistakes: When you correct your agent, Prism remembers. Important corrections automatically surface as warnings in future sessions, making your agent smarter with each use.
- Visual knowledge graph: See your agent's memory as an interactive neural map. Click any node to rename or delete it, providing visibility into what your agent actually remembers.
- Deep Storage cleanup: One command reclaims 90% of storage space from old memories. The feature is safe by default with preview before deletion.
Technical Details
The tool is built with pure TypeScript, uses local SQLite, and has zero cloud dependencies. It works with Claude, Cursor, Windsurf, Gemini, and any MCP client. The project is MIT licensed and includes 303 tests.
📖 Read the full source: r/ClaudeAI
👀 See Also
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OpenEvol: Offline Self-Improvement Pipeline for LLMs Using Conversation History
OpenEvol v0.1.1 is an offline pipeline that automatically mines AI conversation history to create fine-tuning datasets without manual labeling. It runs on CPU initially and supports five teacher backends including OpenAI-compatible APIs and HuggingFace Transformers.
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