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AI coding agent with one Python core and three front-ends — headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-tiered permissions, event-sourced replayable sessions, and a fail-closed OS-level sandbox.
The Audited Context Generation (ACG) Protocol prevents AI hallucinations with a dual-layer system. The UGVP layer links every fact to a precise source for verification. The RSVP layer audits the AI's logical reasoning when combining facts. This creates a fully transparent, machine-auditable trail for both source and logical integrity.
Local open-source dev tool to debug, secure, and evaluate LLM agents. Provides static analysis, dynamic security checks, and runtime monitoring - integrates with Cursor and Claude Code.
A curated list of research on LLM-agent traces: evidence tracing, execution provenance, failure attribution, observability, runtime safety, memory provenance, and learning from traces. Companion list of arXiv:2606.04990.
Multi-agent platform for long-form synthesis. Controlled 6-agent sequential pipeline (Orchestration, Search, Writing, Style, Harmonization, Enforcing) with BM25 retrieval and a live Agent Trace UI. Runs end-to-end with zero API keys via a deterministic mock provider. Next.js 16, Prisma 7.
Measure how long AI-authored code actually survives in your repository. Reads Agent Trace records, estimates survival with Kaplan-Meier. Open methodology.