Open-Sourcing GraphARC: A Deterministic Checker to Block Risky Agent Actions
Desperate-Ad-9679 · reddit · 2026-08-06
The author open-sources GraphARC, a governed AI agent runtime. The core mechanism requires the model to propose a multi-node execution graph for a task, which a deterministic checker then admits or refuses with reasons before any execution.
Key features:
- Hard Enforcement: Relies on policy gates rather than prompt engineering to force agents to abandon forbidden actions (like rolling back deploys) until human approval is granted.
- Full Auditability: Every run generates a complete JSONL trace for replay, metrics, and cost attribution.
- Cost Control: Prices the worst-case cost before execution and records the actual per-node bill afterward, even on failure.
Built on LangGraph, the project is free and MIT-licensed.
Related event: GraphARC Open Source: Deterministic Interception for Agent Workflows(4 posts)→
More from coding & agent
- Meta Launches Muse Spark 1.2 Model and Muse Code Terminal Agent — alexandr_wang · 2026-08-06
- OpenAI's Codex CLI is Open Source, Surpasses 100k GitHub Stars — dkundel · 2026-08-06
- Solving Tool Overload in AI Agents: Skill-Aware Decomposition — bendee983 · 2026-08-06
- MemoryPlugin Launches Mac Sync App, Unifying Memory for Claude Code and Other Coding Agents — testingcatalog · 2026-08-06
- MemoryPlugin Launches macOS App to Sync Local Coding Agent Chats — testingcatalog · 2026-08-06
- AI Vulnerability Scanning Reshapes Security: Bug Bounty Prices Drop as SDLC Integrates AI — philvenables · 2026-08-06