Enables AI agents to self-report every tool call, token usage, decision, and session grade into a local SQLite store, so users can trace execution, audit reasoning, and see per-session costs in a local dashboard. Also supports proxy mode to intercept and trace MCP tool invocations for agents that cannot self-report.
Enables LLMs to analyze logs by extracting patterns, redacting secrets, and providing token-efficient summaries from files, Docker containers, or journald.
Enables AI coding tools to share one Markdown ship's log per project, so each session can read the current state, recent work and next steps across Claude Code, Codex, Gemini CLI and Copilot CLI, plus a dashboard showing every project at once. It also flags sessions that did work but logged nothing, and can be exposed remotely to ChatGPT via a self-hosted beacon.
Indexes and searches agent conversation logs from Antigravity and Cursor workspaces, enabling semantic search, token analysis, and benchmarking over local SQLite storage.