MicroWorld
A multi-agent world model of US equity markets — simulating institutional players, information asymmetry, and emergent price dynamics
An AI agent is a program that uses a language model to decide what to do next, calls tools such as a browser, a code interpreter or an API, and repeats until the task is done. The projects here range from frameworks for building your own agents to finished agents that write code, browse the web or run business workflows.
Compare three things. Which models it can use: a single provider, or any OpenAI-compatible endpoint including local ones. How it limits what the agent may do: sandboxing, approval steps and permission lists. And whether it keeps memory between steps and sessions. An agent that runs code or shell commands should run in a sandbox, so check that before giving it access to your machine.
A multi-agent world model of US equity markets — simulating institutional players, information asymmetry, and emergent price dynamics
Safe runtime for autonomous on-chain AI agents: isolated sandboxes, Library skills, encrypted secrets.
🚀Lightweight Large language model automation and Autonomous Language Agents development framework. Build your LLM Agent Application in a pythonic way!
A lightweight all-in-one terminal with 30+ protocols — SSH, RDP, SFTP, databases, Kubernetes and more. With a built-in autonomous AI Agent that plans and runs multi-turn shell commands.
AI agent that builds a live biosecurity world around any target.
Codex-style @file mentions for DeepSeek Harness: search workspace files in the composer and attach their path to prompts.
🪝 Claude Code hooks + an installable plugin marketplace: safety, cost, observability, productivity.
macOS CLI for OCR and searchable PDFs using Apple's Vision framework
Agent skills to help you build products your users love.
Skills and eval rubrics for K-12 teachers, co-developed with Learning Commons
Gift your VS Code agent a real debugger: breakpoints, stepping, inspection.
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
Open-source, local-first 3D parametric CAD that runs in the browser for people and permissioned typed agents, powered by OpenCascade WASM.
Multi-workspace terminal aggregator with Claude Code AI integration
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
A complete roadmap to master LLMs from absolute beginners to advanced
Info about many of my Terraform, AWS, DevOps, and AI (tada!) projects.
Browser Operator - The AI browser with built in Multi-Agent platform! Open source alternative to ChatGPT Atlas, Perplexity Comet, Dia and Microsoft CoPilot Edge Browser
Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.
Official DESIGN.md files published by companies themselves. First-party design systems that AI agents read to generate consistent UI.
54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.
The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.
Autonomous AI dev-team bot
Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video