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🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
Vane is an AI-powered answering engine.
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
The Cloud Native AI Platform
Agent S: the state-of-the-art open source computer use agents
TranslatedLangGPT: Empowering everyone to become a prompt expert! 🚀 📌 Proposer of Structured Prompt 📌 Initiator of Meta-Prompt 📌 The most popular paradigm for putting prompts into practice | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树 (Yunzhong Jiangshu, "river and trees amid the clouds")
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Agent harness for learning difficult things.
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
My AI learning system.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Build LLM-powered applications in Ruby
Build a system, load it until it breaks, and watch why. A system design simulator for learning distributed systems.
TranslatedYour AI study partner: plan the route, explain the knowledge, build projects, learn by doing, and master a subject thoroughly
TranslatedTurn PDFs, books and papers into interactive learning webpages | Turn complex materials into learning webpages that are traceable, quizzable, and support note-taking
TranslatedLearning notes and tooling skills for AI video
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments