Cognitive infrastructure for AI agents.
We build the substrate AI agents run on — memory, reasoning scaffolds, verifiable state. Starting with the hardest part: memory that doesn't collapse under context-window limits, and that an agent can actually reason over.
Engrava — the memory database for AI agents.
An embedded cognitive graph database for AI agents. Graph memory (7 edge types), hybrid FTS5 + vector search, algorithmic dreaming (4-signal consolidation, 3 gates), tamper-evident audit trail. No Neo4j. No Redis. Just SQLite.
pip install engravaMIT licensed · engrava.ai · docs
- Code-first. Every claim is backed by implementation. No whitepapers without running code.
- Research posture. Grounded in consciousness research, not AI hype. Citations where it matters.
- Open by default. MIT licensed, public roadmap, discussions over DMs.
- Studio: sovantica.ai
- Engrava: engrava.ai
- Contact: hello@sovantica.ai
- Security: security@sovantica.ai — see SECURITY.md