Systems
2026
Collective Brain
Shared vector-memory MCP server engineered for a ~340 MB CPU-only footprint
- ~340 MB
- RAM footprint
- 0 MB
- GPU VRAM used
- 18
- MCP tools
- 3
- protocols
Dockerized Model Context Protocol server uniting IDEs and local agents over Qdrant semantic retrieval and cross-encoder reranking with zero GPU VRAM allocation.
Built to unify fragmented context across terminal sessions, editors, and web tools without starving co-hosted services. Runs two-stage retrieval — FastEmbed ONNX embeddings (BAAI/bge-small-en-v1.5) into Qdrant followed by cross-encoder reranking (ms-marco-MiniLM-L-6-v2) — constrained strictly to CPU with single-threaded ONNX execution, query timeouts, and markdown-aware chunking. Exposes 18 tools across Streamable HTTP, legacy SSE, and OpenAPI 3.1.0 REST.
Log
- 2026-10
Shipped dual Streamable HTTP / SSE transport alongside OpenAPI 3.1.0 REST.