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.
2,235
repos tracked
175
surfaced this week
194
created < 30d
Python
top language
44 repos
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the runtime your coding agents live on
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Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
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A curated collection of papers, research blogs, open-source tools, benchmarks, and community demos for robot-use agents, including demos powered by GPT-6 Astra. —— Explore our searchable website.
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Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.
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Open-source, agent-driven editing pipeline: create subtitles, motion graphics, slides, edit and render videos.
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The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Find what you want without reading the repo, then check you built what you meant — blast radius, tests-to-run, quality deltas. Signatures at 74.7% fewer bytes than bodies; every guess labelled, every loss published. Paddle out with a map.
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MCP server for Substack: rich drafts, Notes, analytics, and consented subscriber management across publications. Long-form posts stay draft-only; Notes publish immediately. Used regularly by multiple newsletters, includes a CLI.
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Grimoire's Tome & The Grim Council. A Prompt Spellbook of /skills. The #1 Coding Wizard 🧙♂️📖
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Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.
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Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
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The agent that grows with you
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Knowledge that can show its work: an open, federated knowledge system for humans and agents.
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Continual learning infra for self-improving agents
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Superset is an agentic IDE to orchestrate 100+ coding agents in parallel. Run any agent with your own subscription.
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Scripts for agents, shared between my repositories.
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Event-sourced graph runtime for durable and stateful agents
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iMessage personal assistant + password vault
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Give AI agents ambitious work without losing the plot. nac is an open-source harness for long-running tasks, using a central orchestrator, threads, and structured episodes to stay aligned with your intent.
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See and manage what your coding assistants load — skills, commands, subagents, plugins and MCP servers, with real usage.
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A lightweight, powerful framework for multi-agent workflows and voice agents
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Migrate coding agent sessions across 18 harnesses (Claude Code, Codex, Pi, OpenCode, Copilot, Antigravity, Vibe, Muse, Qwen, Kimi, Cursor, etc.)
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Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.
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Open-source graph-based presentations from versioned JSON. Select and present in the browser, validate with the local CLI, and export offline.
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Rebuild the object in a reference image as a code-only, procedural, quality-gated, animation-ready Three.js model. Token-efficient image-to-3D.
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🛰 Every AI coding agent on your machine, on one screen — live cost, tokens and tool calls across every provider, and a hold on anything dangerous until you say go. From your desk or your phone.
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the runtime your coding agents live on
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Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors
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AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.
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Same model, different wrapper: a from-scratch benchmark comparing coding-agent harnesses (codex, pi, opencode, cursor, devin) and open models on correctness, speed, and token cost
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Open-source 3D architectural editor with a local CLI, MCP tools, and practical workflows for humans and AI agents.
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Open-source test harness for AI agents. Stress-test production agents with adversarial multi-turn scenarios in CI
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MLT & AI Communities
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DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
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JavaScript in-page GUI agent. Control web interfaces with natural language.
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On-demand Linux computers you can hand to an AI — real Firecracker microVMs with a browser, terminal, coding agents, and an AI that drives them.
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Open-source control plane for AI coding agents. Run an AI engineering team: parallel Claude Code, Codex, and Gemini workers with a shared board, atomic tasks, schedules, loops, origin-stamped messaging, model switching, and self-healing recovery. One dashboard, or your phone. MIT, single Rust binary.
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A curated, non-BS library of the best resources for building and evaluating AI agents — papers, blogs, talks, tools, benchmarks. Maintained by BenchFlow.
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Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
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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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Production-Grade Autoresearch. Ideal for agent harness engineering, prompt engineering, ML model development, GPU kernels, and other optimizable code.
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Landing page + leaderboard for SWE-Bench benchmark
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Your agent runs on a Mac that isn't your daily driver. agentcookie keeps its sessions in sync with the Mac you actually browse on, continuously, encrypted over Tailscale, so OpenClaw, Hermes, or any other agent runtime wakes up authenticated. macOS, peer-to-peer, no cloud middleman.
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Search infrastructure for AI
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Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents