🌊 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
Hindsight: Agent Memory That Learns
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
Vane is an AI-powered answering engine.
- ai-search-engine
- search-engine
- open-source-ai-search-engine
- perplexica
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
- linkedin
- quiz-questions
- answers
- assessment
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
🦉 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
- agent-computer-interface
- ai-agents
- computer-automation
- gui-agents
Research on Coding Agents
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
- kedro
- hacktoberfest
- mlops
- python
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
Build, Manage and Deploy AI/ML Systems
Bindu: The identity, communication, and payments layer for AI agents.
🏰 An exciting game of programming and Artificial Intelligence
- warriorjs
- warrior
- epic
- battle
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Agent harness for learning difficult things.
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild