ogham-mcp/ogham-mcp
Shared memory MCP server — persistent, searchable, cross-client
Implements hybrid search combining dense embeddings (pgvector) with sparse lexical matching (tsvector) in a single PostgreSQL query—achieving 97.2% recall@10 on LongMemEval without cross-encoder reranking. Deploys as an MCP server supporting both stdio mode (per-client isolation) and SSE mode (shared persistent process), with pluggable embedding providers (OpenAI, Ollama, Mistral, local ONNX) and optional FlashRank reranking for self-hosted setups. Targets AI coding agents across Claude Code, Cursor, VS Code, and other MCP clients with automatic schema migration and environment setup via CLI wizard.
Stars
82
Forks
11
Language
Python
License
MIT
Category
Last pushed
Mar 28, 2026
Commits (30d)
0
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