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@sovantica

Sovantica

Cognitive infrastructure for AI agents.

Sovantica

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.

What we ship

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 engrava

MIT licensed · engrava.ai · docs

How we work

  • 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.

Elsewhere

Popular repositories Loading

  1. engrava engrava Public

    The memory database for AI agents. Graph memory, hybrid search, and a tamper-evident audit trail — in one pip install. Storage that consolidates, evolves, surfaces. Built for autonomous agents.

    Python 1

  2. .github .github Public

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