SuperMemory is an MCP-first learning memory layer for agents. It helps Claude, Cursor, and other MCP clients reuse validated lessons from prior failures, corrections, and outcomes without saving full transcripts.
Enables remote MCP clients to securely access AgentMemory tools like memory_recall, memory_smart_search, and memory_save through OAuth 2.1 and Streamable HTTP, while keeping the AgentMemory backend secret private.
MCP-native memory layer for Claude Code, Cursor, Cline, Continue, and 16 other AI tools. Hybrid search (BM25 + pgvector + graph), self-hosted on Supabase + Vercel, 100% MIT, no paywall.
Persistent, local memory for AI coding agents that learns how you work, not just what you said. Supports Claude Code, Codex CLI, Cursor, and any MCP client.
A persistent, project-scoped memory layer for AI agents, supporting hybrid retrieval (vector, keyword, and tag matching) and sharing across different MCP clients like Claude Code, Qoder, or Cursor.
Long-term memory for Claude Code, Cursor, and MCP clients with zero-config embedded PostgreSQL. Stores and retrieves facts, preferences, and decisions using 4-channel semantic, BM25, entity, and temporal search with cross-encoder reranking.
