A bi-temporal, provenance-carrying memory primitive for AI agents. Enables storing facts, recall, revision, and audit trails via MCP with SQLite storage.
Enables agents to assert and recall typed facts with idempotent writes, freshness, and assurance verdicts. Provides MCP tools for persistent memory across sessions via SQLite-backed storage.
Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.
Local-first, governable long-term memory for AI agents. Provides SQLite-backed storage, cross-session recall, and traceable memory corrections through a standard MCP interface.
Provides a local-first, provenance-aware memory layer that enables MCP-capable AIs to store, recall, validate, and reason over facts with contradiction detection, trust weighting, deduplication, and encryption, supporting offline private operation without GPUs or API keys.
Enables AI agents to store and retrieve provenance-aware facts with source, age, and boundaries, supporting search, read, propose, and local telemetry via MCP tools.