MCP server that captures and recalls coding session memory (failures, decisions, diffs) for AI agents, enabling cross-agent continuity and preventing repeated mistakes.
Persistent memory MCP server that remembers decisions and context across coding sessions, automatically logging and surfacing relevant knowledge as you work.
MCP server that gives OpenCode a persistent, graph-based memory with semantic search, iterative retrieval, and session-aware knowledge management. It supports capturing fleeting and permanent notes, distilling insights, tracking mistakes and fixes, and auto-archiving stale memories.
MCP server providing persistent memory for LLMs via semantic search over captures, structured facts with temporal tracking, and document ingestion. Enables any MCP-compatible client to maintain a searchable knowledge base across sessions.