Evidence-based engine for detecting intent drift in AI-assisted software development. Pluggable providers, weighted scoring, and explainable alignment reports.
Pre-spec steering layer for AI coding agents — capture product intent, invariants, and decision criteria before implementation, hand off to spec-driven workflows, observe intent drift (warn-only), and write learnings back to keep intent and code aligned.
Know what your coding agents actually built, and why. Your own agent takes over a project as it is, even half-done, by filling one table from its docs, git history, code and agent sessions. ProjectKeeper draws it as a map anchored to your words, flags where the work drifts, hands the next agent the right context and keeps it current. Local-first.
Local deterministic CLI for flagging drift between human intent, agent plans, and proposed actions.
Intent drift detection & taxonomy for LLMs — how multi-turn jailbreaks (gradual drift, persona anchoring, trust escalation) evade single-turn scanners, and how to detect them.
Claude Code plugin that reviews a PR/branch against what it was asked to build — plan/spec + the Claude session transcript + git history. Deterministic secrets/CVE/dep-hygiene pre-flight (PyPI+npm+OSV), 5 parallel review subagents, risk triage, custom rules & learnings. Local, free, stdlib-only — code never leaves your machine.
Executable intent contracts for coding agents. Detect and block silent intent drift in Claude Code, Codex and other coding agents.
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