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 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.
Enables agents to verify claims with evidence-based truth scores and confidence levels by running a deterministic pipeline of evidence lanes and adversarial checks.
A persistent, self-revising hypothesis DAG for agentic R&D, exposed as an MCP server. It enables agents to structure working knowledge as a directed acyclic graph of hypotheses, with automatic write-back belief revision and cascading pruning based on evidence.