Provides state and log management tools designed for long-lived AI agents that may be interrupted and resumed. It enables tracking agent progress and maintaining an append-only event history to ensure continuity across multiple sessions.
Provides AI agents with a lightweight task-management and self-verification layer to define goals, track checkpoints, detect scope drift, and verify completion against explicit done criteria.
Enables AI agents to record and query reasoning steps in SQLite, offloading trace data from the context window, with DAG support and persistent cross-session memory.
Deterministic state layer for AI agents that stores versioned entities such as contacts, tasks, transactions, and decisions with immutable observations and full provenance. Local-first SQLite memory shared across Claude, Cursor, ChatGPT, Codex, and OpenClaw via MCP and native plugins.
Provides LLM agents with hallucination-free external memory and knowledge tools, including ask, remember, forget, math, and code reasoning, with deterministic, traceable outputs.