Bringing Developers Together to Explore
New Tools & Scaling Laws in Multi-Agent Systems

SETA: Scaling Environments for Terminal Agents

In SETA, we start with building robust toolkits to empower the agent’s planning and terminal capability, and achieved SOTA performance

Brainwash Your Agent: How We Keep The Memory Clean

How CAMEL Rebuilt Browser Automation: From Python to TypeScript for Reliable AI Agents

How CAMEL AI rebuilt browser automation with TypeScript for faster, smarter, and more reliable AI web interactions.

Introducing the Hybrid Browser Toolkit: Faster, Smarter Web Automation for MCP

Eigent How-To: Setting Up Your First Custom MCP Server

In this blog, we show how to set up your first custom MCP server with Eigent and automate GitHub workflows easily.

OASIS Environment: Connecting Simulation to the Real World

OASIS powers large-scale LLM agent societies with tools, workflows, and real-world connectivity.

Super-charge Your CAMEL-AI Agent with NetMind ParsePro MCP Servers

NetMind ParsePro is an MCP server that converts PDFs into structured JSON or Markdown, ready for use in agent-based workflows.

A Guide to Building a Fully Local AI Workforce with Eigent

Securing the Open Source Supply Chain: CAMEL-AI Joins GitHub’s Secure Open Source Fund

CAMEL strengthens security: with support from GitHub’s SOS Fund, enhancing framework protection to safeguard AI apps and developers.

Leveraging Google Gemini 2.5 Pro with CAMEL-AI's OWL for Autonomous Data Visualization

CAMEL-AI x Wolfram|Alpha: Smarter Agents Through Powerful Computation

Pair your agent with 600+ MCP tools seamlessly with ACI.dev

CAMEL x MCP: Making AI Agents Accessible to All Tools

Camel-AI's use of Model Context Protocol (MCP) to connect AI agents with tools via MCP servers, enhancing interoperability and flexiblity

How to Connect Your OWL Agent to Notion via the MCP Server

Connect your OWL agent to Notion using the Model Context Protocol (MCP) server for secure, autonomous task execution.

Creating your own Agent to Agent communication with Model Context Protocol

Step-by-step guide to bridge LangChain & CAMEL-AI agents via MCP: build adapters, handle message flow, and ship working code samples.

How to Connect Your CAMEL-AI Agent to External Tools via MCP

In this hands-on tutorial, you’ll learn how to configure MCP servers and clients to hook your CAMEL-AI agents up with both local data source

How to Enable Real-Time Agentic Replies on WhatsApp Using OWL

Learn how to integrate MCP servers with the OWL framework from CAMEL-AI to enable real-time agentic messaging through WhatsApp powered by AI

Project OASIS: Automation or Simulation? - The Biggest Potential of Multi-agent systems

OASIS simulates millions of AI agents to study network dynamics, misinformation spread, and reinforcement learning in realistic environments

The New Era of Automation: How OWL, CRAB, and MCP Are Bridging the Last Mile

To solve the “last mile” in agent automation, we introduce OWL, CRAB, and MCP—built for interactive environments.

🐉 Loong: Synthesize Long CoTs at Scale through Verifiers

Project Loong is a collaborative effort lead by CAMEL-AI to explore Long CoTs data generation through verifiers at scale.

Project Loong 🐉: Synthetic Data at Scale through Verifiers

Project Loong is a collaborative effort lead by CAMEL to explore synthetic data generation with verifiers at scale.

Scaling Environments for Agents

CAMEL-AI.org advances AI agents by scaling environments and shifting from prompt engineering to RL for smarter, adaptive agents.

How to Use MCP with the OWL Framework: A Quickstart Guide

Learn how OWL uses MCP to automate tool calls, streamline workflows, and build powerful multi-agent systems with ease.

What’s Inside the Best Open-Source General AI Agent?

Explore OWL, our open-source, autonomous AI agent built on CAMEL-AI. No invite codes, just open collaboration and innovation.

Building MCP servers with CAMEL AI

Learn to build MCP servers with CAMEL AI and empower your LLM agents to handle real-world tasks like file and tool management.

How Data Drives LLM Pretraining: Methods, Tips, and Best Practices

Discover key data strategies for LLM pretraining, from collection to quality control, ensuring better model performance and accuracy.

Bridging Minds and Machines: Agents with Human-in-the-Loop – Frontier Research, Real-World Impact, and Tomorrow’s Possibilities

This post covers Human-in-the-Loop, including CAMEL, enabling AI to consult humans, seek approvals, and enhance decision-making.

Distilling Mathematical Reasoning Data from DeepSeek R1 with CAMEL-AI

A technical guide on leveraging CAMEL-AI to generate high-quality mathematical reasoning datasets with detailed step-by-step solutions

CAMEL Release notes [Sprint 14]

Explore Sprint 14 updates with CAMEL-AI's latest toolkits and other enhancement.

Streamline AI Fine-Tuning with CAMEL-AI & Unsloth: A Step-by-Step Guide

Learn agentic supervised fine-tuning with CAMEL-AI and Unsloth. Generate high-quality datasets, optimize workflows, and fine-tune AI models

Live Talk on "AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents"

Live Talk on "AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents"

Create AI Agents that work with your PDFs using Chunkr, CAMEL-AI & Mistral AI

Learn how to work with PDFs using Chunkr with CAMEL

Build Multi-Turn Advanced AI Agents with CAMEL-AI

CAMEL-AI with Ollama - Run Agents with Local Models Easily - Hands on

Learn how to build custom AI chatbots locally with Fahd Mirza

OASIS: Open Agent Social Interaction Simulations with One Million Agents

🏝️ OASIS is a scalable, open-source social media simulator that can realistically mimic the behaviour of up to one million users.

Exploring AI and Trust: A Conversation with Groundbreaking Researchers

Can LLMs simulate human trust? Discover the journey behind a NeurIPS-cited study bridging AI and human behavior.

We have added the Workforce module

Workforce: A dynamic multi-agent system where ai agents collaborate, adapt, and solve tasks in real-time with hierarchical coordination.

CAMEL Release notes [Sprint 13]

Explore Sprint 13 updates with CAMEL-AI's latest toolkits, advancing AI research and fostering global innovation.

🔥 3 Ways to Supercharge CAMEL Agents with Web Data Using Firecrawl

Learn how to create AI agents that can do data digestion perfectly using Firecrawl with CAMEL

CAMEL Release notes [Sprint 12]

Sprint 12 adds OpenAI's o1 models for advanced reasoning, SambaNova Cloud API support, and Nebula Graph for improved data storage.

CAMEL Release notes [Sprint 11]

Explore our latest features, including subprocess support, new tools, and improved stability for a seamless AI experience!

The Mission at CAMEL-AI.org: Finding the Scaling Laws of Agents

At CAMEL-AI.org, we explore multi-agent systems, driving innovation in AI through diversity, scalability, and collaboration.

CAMEL Release notes [Sprint 10]

CAMEL-AI.org updates include Reka multimodal models, SambaNova efficiency boosts, and new AI tools. The aim is to enhance AI-human harmony a

CAMEL Release notes [Sprint 9]

We’ve rolled out updates to enhance agent observability, streamline web scraping, and improve memory management.

Get started with Model Calling - CAMEL 101

CAMEL-AI enables easy integration of AI models for text, image tasks, and more, fostering adaptable and versatile AI applications.

Getting Started with Agent Tool Usage - CAMEL 101

Learn how to enhance AI agents using CAMEL-AI by integrating and customizing tools, perform complex tasks and collaborate effectively.

CAMEL Release Notes [Sprint 8]

Discover CAMEL's latest updates, including GPT-4o mini integration, structured responses, and object storage support. Elevate your AI experi

Getting Started with Agent Tool Usage - CAMEL 101

Discover how to build multi-agent systems with agent orchestration using CAMEL’s tool integration.

CAMEL Release Notes [Sprint 7]

Explore our latest updates, including the Workforce Module, Azure integration, and DALL-E for enhanced agent capabilities!

CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents

Discover CRAB, the groundbreaking framework by CAMEL-AI that empowers agents to operate across multiple devices simultaneously.

CAMEL Release Notes [Sprint 5 & 6]

This week, CAMEL-AI introduces new tools, including a Discord bot with RAG, Redis cache storage, and Docker support for code execution!

CAMEL Release Notes [Sprint 4]

Check out CAMEL-AI's latest updates, featuring new AI integrations and tools for improved functionality and collaboration!

Get started with Retrieval-Augmented Generation (RAG) -CAMEL 101

A tutorial of how to get started with Retrieval-Augmented Generation (RAG)

[Week 1 of June]

This release introduces new features, integrations, and crucial bug fixes. So, here’s what’s new!

[Week 4 of May]

This release features new integrations for knowledge graph storage and social media, plus crucial bug fixes and model updates.

Set up your first Agent in 120 seconds

ChatAgent guides conversations autonomously with roles, memory, and reasoning. Explore AI-human collaboration at CAMEL-AI.org.