{"repo":"arc-labs-ai/brain-db","free":true,"listed":false,"github":"https://github.com/arc-labs-ai/brain-db","clone":"git clone https://github.com/arc-labs-ai/brain-db.git","description":"Memory database for AI agents — stores typed memories (facts, preferences, events, entities, relations) with provenance, confidence, and bi-temporal validity, and answers with fused semantic + lexical + entity-graph + temporal retrieval. One Rust core, one binary wire protocol. Apache-2.0.","language":"Rust","stars":29,"topics":["agents","ai","data-storage","database","knowledge-base","memory-database","self-hosted","agent-memory","embeddings","hnsw"],"license":"Apache-2.0","category":"databases-storage","readme_excerpt":"Brain A memory database for AI agents. Stores four record types — Memory, Entity, Statement, Relation — with explicit provenance, confidence, and bi-temporal validity. Fused retrieval (semantic + lexical + entity-graph + temporal) combined with weighted rank fusion. One Rust core, one wire protocol, one schema. Apache 2.0. --- Table of contents - Why Brain - What Brain stores - Schema is always on - Quickstart - Cognitive operations - Architecture in 30 seconds - Performance targets - Status - Future scope - Documentation - Repository layout - Tech stack - Platform support - Contributing - License --- Why Brain Today's agent stacks duct-tape four or five storage systems: a vector database for similarity, a graph database for relationships, a full-text store for keyword matching, an LLM extraction pipeline, plus an orchestration layer that pretends to keep them consistent. Half of that orchestration is reinventing transaction semantics across systems that don't agree on what \"committed\" means. Brain collapses the stack into one Rust core with one wire protocol and one schema: - Cognitive verbs, not CRUD. encode / recall / plan / reason / forget are the primitive operations. - Fused retrieval out of the box. Three retrievers (semantic / lexical / graph) combined via weighted RRF — not \"top-k by cosine.\" - Provenance is first-class. Every typed claim carries an evidence list back to source memories, plus four bi-temporal timestamps. - Predictable tail latency. Thread-per-core (G","default_branch":null,"files":null,"tree":[],"storefront":"/r/arc-labs-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/arc-labs-ai/brain-db/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}