Dev
GitHub repos gaining traction - what high-signal users are starring and what's climbing the board, captured daily and enriched from GitHub. Raw material for spotting new tech and patterns worth building on.
3,195
repos tracked
105
surfaced this week
193
created < 30d
Python
top language
506 repos
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Measure and explain performance: web pages, Electron apps, Bun/Node, any process. Agent-native CLI + MCP.
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Open-source Slack for your AI agent swarm
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Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
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Garry's Opinionated OpenClaw/Hermes Agent Brain
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Skills for agents
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Local model catalog for Omarchy agent use
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Run coding agents and project commands inside isolated Arch Linux microVMs
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ReTrain agent trajectories: live and best sessions (static viewer)
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An LLM-powered agent for Datasette
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A clean, modular SDK for building AI agents with OpenHands V1.
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Voice-agent implementations of Rory, the Acme Energy utility billing agent from the VAmoS Energy benchmark
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Learn harness engineering by building Claude Code from scratch. Free, open-source course: 8 articles, 6 videos, 1 codebase.
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Lightweight coding agent that runs in your terminal
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An agent's own AT Protocol account, through MCP
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A benchmark for evaluating AI agents on realistic business workflows
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The open source coding agent.
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Skills for the Gemini API, SDK and model/agent interactions
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Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
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Public repository for Agent Skills
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Autoresearch agents that improve your benchmark: independent re-measurement, enforced budgets, results as pull requests
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An agentic skills framework & software development methodology that works.
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A markdown native slides tool for academics building with agents.
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Agent skills for Claude Code and other AI agents
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🙌 OpenHands: AI-Driven Development
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Let your AI agents use your real browser: an MCP server and a Chromium extension
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the runtime your coding agents live on
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Multiplayer agent harness for work.
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OctoTools: An agentic framework with extensible tools for complex reasoning
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Local-first lab for testing AI agent workflows end to end: emulated Slack (signed events, buttons), local S3/SQS, deterministic authorization, and independent evidence instead of self-grading. Optional Google AX (Agent Executor) + Agent Substrate lane on GKE/gVisor, reported per assertion. Independent; not affiliated with Google.
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Fast, modular sandboxes for AI agents
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Open-source skills for designing and reviewing software with AI agents
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Collaborative LaTeX editor you host yourself, for trusted networks and tailnets, with native agent integration
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Reverse engineer anything with agents, from app behavior down to native binaries.
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Pi coding agent extension: llama.cpp provider with dynamic model + context window discovery
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An open protocol and client for what your coding agents are doing: hooks for every harness, four privacy tiers, any sink.
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Agent Executor (AX) is Google's open agentic orchestration runtime
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Crabbox: warm a box, sync the diff, run the suite.
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The Actor-Gatherer framework: a context management framework for AI agents.
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A local coding agent with a web UI that builds itself while it runs, on Pi Durable
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Agentic RL Training at Scale
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🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.
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Lab Website
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Agent skills. Install with npx skills add ericzakariasson/skills
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Gym-Anything-RT: Scaling Real-Time Environments for Vision-Language Agents
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Official repository for BrickWright, a framework that enables LLM agents to create physically feasible LEGO® builds from text or image prompts.
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Automations sync of oss-agent-canvas
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Motion capture for any creature from one AI video: two cameras in one frame, a DINOv2 joint reader, the rig fitted in both views, a GLB out.
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OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
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declarative self-improving language-model programs for Elixir 😇