Commitment tracking for LLM agents — a normative overlay that gives long-running agents a scoreboard of their own commitments, not just a memory of what happened.
-
Updated
Jul 29, 2026 - Python
Commitment tracking for LLM agents — a normative overlay that gives long-running agents a scoreboard of their own commitments, not just a memory of what happened.
Cognitive commitment engine with constitutional safety. Watches your messages for promises ('I'll send that Monday'), remembers them, and follows up without judgment. Goes quiet when you're depleted. Deterministic core (Patent P1) + optional Claude Opus 4.7 nuance.
Supportive, CLI-first commitment tracking engine. Extracts action items from meeting transcripts and chat into a human-readable markdown ledger, reconciles them against evidence (tickets, PRs, updates), and suggests private, rate-limited nudges. Adapter-friendly core, runs offline in demo mode, no credentials needed.
To associate your repository with the commitment-tracking topic, visit your repo's landing page and select "manage topics."