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An AI-powered agentic red team framework that automates offensive security operations, from reconnaissance to exploitation to post-exploitation, with zero human intervention.

Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.

Build LLM-powered applications in Ruby

🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

A agent framework based on the tutorial hello-agents

This is the official implementation of Multi-Agent PPO (MAPPO).

superglue (YC W25) builds integrations and tools from natural language. Get production-grade tools for long tail and enterprise systems.

🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai

A collection of sample apps and recipes built with the TinyFish web agent. Open-source examples for you to learn & build!

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

OpenKB: Open LLM Knowledge Base

A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows

Deploy your agentic worfklows to production

Observal is a unified agent registry and analytics platform.

Linkedin Automation Tool: Describe your product. Define your target market. The AI finds the leads for you.

Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.

FIT: 企业级AI开发框架，提供多语言函数引擎（FIT）、流式编排引擎（WaterFlow）及Java生态的LangChain替代方案（FEL）。原生/Spring双模运行，支持插件热插拔与智能聚散部署，无缝统一大模型与业务系统。

🇫🇷 Skills pour agents IA spécialisés dans la bureaucratie française : Comptable, Notaire, ...

Compute substrate for AI agents: lightweight enough to live on your laptop, elastic enough to scale into the cloud and unleash unlimited resources.

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.

Interactive architecture diagrams for codebases

14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.