V4 · Technical Overview

System Capabilities.

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.

V4 AGPL v3 Hybrid retrieval RBAC MCP + CLI Mode C: flagged
CORE CAPABILITIES

Six capability areas.

Engineering capabilities documented across retrieval, storage, governance, and interfaces. Optional network features are disclosed separately per capability.

01 · Retrieval

Traceable Hybrid Retrieval

Five candidate producers feed fusion and reranking, with graph-derived score enhancement and inspectable diagnostics.

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02 · Foundations

Mathematical Foundations

Public preprints evaluate information-geometric, topological, and stochastic-dynamics components. Current dense candidates use cosine, with research-derived terms applied only in documented later stages.

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03 · Governance

Governance & EU AI Act

Per-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.

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04 · Storage

SQLite Core + Scale Engine

SQLite 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.

05 · Interface

MCP, CLI, Hooks, and Skills

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.

06 · Console

Local Operations Console

Inspect Dashboard, Brain, Knowledge Graph, Memories, Health, Operations, Entity Explorer, Skill Evolution, Mesh Peers, Settings, and Optimize through the local service.

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OPERATING ARCHITECTURE

Ten-layer operating stack.

An inspectable stack from SQLite-backed storage through retrieval diagnostics, lifecycle controls, optional optimization, and local visualization.

01 Capture: CLI, MCP, hooks, dashboard actions, and opt-in adapters
02 Durable ingestion: dated evidence, provenance, idempotency, profile, and operation state
03 Structure: facts, entities, relations, temporal signals, FTS, embeddings, and lifecycle
04 Recall: semantic, BM25, temporal, Hopfield, and spreading-activation candidates
05 Fusion: provenance-aware ranking, optional reranking, and graph score enhancement
06 Brain: behavioral signals, optional LightGBM model loading, and pattern views
07 Optimize: exact cache, explicit semantic cache, safe compression, optional lossy prose mode
08 Mesh: authenticated messages, inbox, locks, queue, and optional mDNS — not database replication
09 Operate: dashboard, health, entities, skill evolution, settings, CLI, and MCP profiles
10 Storage: SQLite core; explicit CozoDB and LanceDB Scale Engine projection lifecycle
EXPLORE FURTHER

Architecture and installation.

Read the full technical architecture or follow the installation guide to deploy V4.