Marketplace Agen

BabyAGI: an Autonomous and Self-Improving agent, or BASI

Nuwax Agent OS - An enterprise-grade AI Agent Development and Operation Platform - Providing a complete solution for agent creation and distribution, knowledge base management, model proxy, memory system, and plugin ecosystem.

The self-improving all channels AI agent. Self-healing. Fully autonomous. Single Rust binary.

An AI co-scientist powered by Scientific Agent Skills running on your desktop.

A code-driven presentation generation framework. 像构建软件工程一样生成演示文稿。

Agent samples built using the Strands Agents SDK.

Data API Framework for AI Agents and Data Apps

Blades is a Go-based multimodal AI Agent framework.

♾️ Private Agent Fleet with Spec Coding. Each agent gets their own GPU-accelerated desktop. Run Claude, Codex, Gemini and open models on a full private AI Stack ♾️

SkyAGI: Emerging human-behavior simulation capability in LLM

An Innovative Agent Framework Driven by KG Engine

State of the Art 82% OSWorld Computer Using Agent, production-ready. Remote and Local! Setup using one API Key

📄 Production-ready MCP server for PDF processing - 5-10x faster with parallel processing and 94%+ test coverage

Atom Agent, automate your workflows by talking to an AI — and let it remember, search, and handle tasks like a real assistant

"VideoAgent: All-in-One Agentic Framework for Video Understanding, Editing, and Remaking"

Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.

Hypernetworks that update LLMs to remember factual information

Open‑WebUI Tools is a modular toolkit designed to extend and enrich your Open WebUI instance, turning it into a powerful AI workstation. With a suite of over 15 specialized tools, function pipelines, and filters, this project supports academic research, agentic autonomy, multimodal creativity, workflows, and more

A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.

A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.

All in one vscode plugin for mcp developer

灰狼优化算法(GWO)路径规划/轨迹规划/轨迹优化、多智能体/多无人机航迹规划

End-to-end Generative Optimization for AI Agents

CORAL is a robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch. Works with Claude Code, Codex, Cursor, OpenCode, Kiro, and more.