tiny-runtime — agent batch and progress tools by AVRG3 runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 6 Nov 2026.
Resumable API pagination, repeated-failure detection and tool-progress cache hints for AI agents
We read the source, 3 h ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const candidates = rel.startsWith("/") ? [path.join(dir, rel), rel] : [path.resolve(dir, rel)];
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Portable signed records for agent, API, MCP, and cross-runtime interactions.
Build and run plain Python as fast native programs: check, run, test and patch tools for agents.
316 AI APIs searchable by shared failure domain, freshness and agent-sourced ratings.
Multi-agent observability: cascade failure detection, heartbeats, and forensic replay
Real-time semantic security for AI coding agents and MCP tools
VPN, proxy, Tor, hosting and CDN detection for any IP address, from the VPNDetection API.
VPN, proxy, Tor, hosting and CDN detection for any IP address, from the VPNDetection API.
Local-first, source-cited memory for AI agents with proposal review, failure memory, and MCP tools.
Answers built from our own checks of this server.