Agent 404 – Stop AI agents from hitting dead links and making things up
JSON-LD recovery beats generic 404s when Cursor hits stale docs.

Empirical proof: AI agents ignore stop commands and delete emails without enforceable boundaries.
AI safety researchers, enterprise security teams, AI agent framework developers, compliance officers
Anthropic AI Safety research · NIST AI Risk Management Framework · CHAI (Center for Human-Compatible AI)
JSON-LD recovery beats generic 404s when Cursor hits stale docs.
Deployment abstraction for OpenClaw agents, but the market already has Heroku, Railway, Render.
When an agent fails, PatchworkMCP forces it to produce a structured 'gap' report and then offers a one-click Draft PR that reads your repo and proposes code changes. The single-file drop-in for multiple languages plus a local dashboard (localhost:8099) shows product-level thinking and a clear workflow from error-to-fix. It’s clever and immediately useful for early-stage MCP development — the main risk is noisy or low-quality LLM patches, but the feedback->PR loop is a neat multiplier for small teams.
Running invoices, contracts, payments and time-tracking from WhatsApp flips the usual app-first workflow and feels immediately useful for people who hate dashboards. The build looks thoughtful: persistent memory, cron automation, browser automation and custom skills on top of OpenClaw sew a believable agent layer — the question is whether those "79 tools" are deep integrations or surface wrappers. Also: the screenshot shows a client-side scene error, which is a small but telling sign that reliability and edge-case UX will matter a lot for a chat-native OS.
Credential vaulting proxy for OpenClaw, but solves a narrow ecosystem problem.
Hardening automation with verifiable reports, but OpenClaw adoption is still niche.