Hybrid recall, not just vectors
Vector similarity and BM25 fused with reciprocal rank, then reranked. A name or an exact phrase is found by the half of the search that is good at names.
MEMORY FOR AI AGENTS · OVER MCP
A memory organ for AI agents. Long-term recall and an entity graph that any agent reaches over MCP — so what one session learns, the next one already knows.
❯ memory_recall{ namespace: "fadymondy", query: "why is /docs scoped?" }hybrid recall · vector + BM25 · RRF · reranked✓ 3 memories, 41ms — hot tier❯ memory_retain{ content: "docs are per-site", source_kind: "claude_code" }salience gate → retained · ADD✓ consolidation scheduled
togo install togo-framework/brainVector similarity and BM25 fused with reciprocal rank, then reranked. A name or an exact phrase is found by the half of the search that is good at names.
A hippocampal hot tier answers fast; a cortical cold tier keeps everything. Salience-gated consolidation moves what matters between them while you are not looking.
Remembering something changes it — recall strengthens a memory and lets it be corrected, rather than leaving a stale fact to be retrieved for ever.
Claude Desktop and Code, Codex, Gemini and Cursor connect through one CLI that is both the MCP server and its installer.
togo install togo-framework/braincabrain connect claude-codecabrain namespace create my-projectLive. The console and the MCP API run at cabrain-app.fadymondy.com on togo-postgres with VectorChord and BM25, embedding and reranking through TEI — retain, recall and the entity graph are in daily use.
Open the console to create a brain, mint a scoped token and connect Claude Code, Cursor or any MCP client.