Enables AI agents to record, recall, correct, and forget evidence-backed factual claims with temporal history, while explaining whether remembered information is current, historical, or contested.
Belief-tracking memory for AI agents. Remember, recall, and ask why: every memory carries evidence, contradictions are surfaced, and retracted facts take their conclusions with them. Zero dependencies, local, MIT.
Provides a compiled knowledge substrate, extracting atomic claims from an append-only capture log and querying a bitemporal claim graph over MCP. Read-only by default, with opt-in writes for trusted sources.
Enables agents to classify every claim into evidence tiers (FACT/INFERENCE/SPECULATION/UNVERIFIED) with attached evidence, forcing deterministic, evidence-gated reporting without LLM or network calls.
Enables AI agents to store, retrieve, and reason over typed knowledge, skills, and patterns with confidence tracking, provenance, and self-maintenance capabilities.
Provides programmatic access to causal discovery, topological data analysis, Gaussian process belief updating, thermodynamic auditing, and HCHL inference for agents and researchers.