Developer Tool / AI Orchestration / Agent Workflow
A cross-platform agent skills repository for consensus-based R&D and repo automation. It describes a multi-agent loop that generates independent plans, converges through a meta-judge, and supports platforms like Claude Code, Codex, Cursor, and Gemini.
The page clearly presents an AI-adjacent developer project with a concrete purpose: a multi-agent consensus engine for repository work, issue/PR handling, review gates, and release automation. The README excerpt shows how it works, what it provides, which platforms it targets, and how to start using it. There is enough visible evidence for a useful public listing.
The snapshot does not show a full installation flow, working examples, or a quick demo of the loop in action. It also leaves some operational details unclear, such as the exact inputs required from the host and how much setup is needed before the autonomous features can run.
Last evaluated 30 hours ago. Current rank #226. Down 3 spots in the rankings.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.
Browser extension that scans pastes for credentials and PII before they reach LLM chat sites, with local on-device inference and no network calls.
Open-source runtime for multi-agent AI systems with job scheduling, DAG orchestration, shared memory, tool execution, and real-time observability.
