An enterprise-ready, local-first memory runtime with dated ingestion, hybrid recall, graph and entity operations, learning signals, optimization, and governance — per-workspace isolation, role-based access, GDPR controls, and a per-mode EU AI Act self-assessment. Optional network features are disclosed per capability.
Engineering capabilities documented across retrieval, storage, governance, and interfaces. Optional network features are disclosed separately per capability.
Five candidate producers feed fusion and reranking, with graph-derived score enhancement and inspectable diagnostics.
V3Public preprints evaluate information-geometric, topological, and stochastic-dynamics components. Current dense candidates use cosine, with research-derived terms applied only in documented later stages.
V3Per-workspace isolation, role-based access, GDPR access/erasure/portability, and a hash-chained audit trail. A per-mode EU AI Act self-assessment maps each mode (A/B local, C external). Engineering controls, not a certification.
V4SQLite with WAL, FTS, and profile isolation is the canonical path. CozoDB graph and LanceDB vector projections are staged, verified, and explicitly promoted by the Scale Engine.
Profile-selected MCP tools, structured CLI commands, and additive client assets support Codex, Claude Code, Cursor, Copilot, and Antigravity without overwriting a user's configuration.
Inspect Dashboard, Brain, Knowledge Graph, Memories, Health, Operations, Entity Explorer, Skill Evolution, Mesh Peers, Settings, and Optimize through the local service.
V3An inspectable stack from SQLite-backed storage through retrieval diagnostics, lifecycle controls, optional optimization, and local visualization.
Read the full technical architecture or follow the installation guide to deploy V4.