camel VS camel

github.com/lightaime/camel

CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society (https://github.com/lightaime/camel)

It seems like you might be confusing "research programs with things like "branding" and superficial terminology. Here, enjoy this thing clearly building on SoM and edited earlier this week: ideas https://github.com/camel-ai/camel/blob/master/camel/societie...

So we went ahead and built one using CAMEL-AI’s OWL multi-agent framework and a WhatsApp MCP server. In this post, I’ll walk you through exactly how to do it, what tools are involved, and how everything fits together.

Our Synthetic Data Generator can be seen as a blackbox, that is seeded by a seed dataset, and generates an arbitrary number of synthetic questions and synthetic answers to those questions based on the seed dataset. The environment makes no further assumptions about the inner workings of the generator. This means that any algorithm can be used under the hood for creating synthetic data. We currently support few-shot prompting over the seed data, as well as a mutli-agent system, where we use self-instruct, evol-instruct or other data generation pipelines for generating questions and a solver agent for the synthetic answers.

At CAMEL-AI.org, we believe that overcoming the challenges of reinforcement learning for LLM agents requires a community-driven approach. Our open-source framework is designed to facilitate global collaboration among researchers and developers, enabling the creation of scalable environments and robust reward mechanisms. Thanks to our contributors, we already have the foundational building blocks in place, including environments, verifiers, data generation pipelines, and toolkits that are essential for further development.

CAMEL AI repo — here

CAMEL DatabaseAgent is built on the CAMEL-AI and consists of three core components:

These use cases show off CAMEL-AI’s knack for teamwork and flexibility. Whether you’re automating, researching, or assisting, it’s got something for you. Ready to try it? Hit up the GitHub repo or chat with us on Discord. What’s your first project gonna be? Let’s make it happen!

Scalability Focus: Researchers love it for studying how AI behaves at scale (GitHub has the details). Other frameworks might not care as much.

Ready to mess around with this? Head to the GitHub repo or Discord to join the fun. Start small—maybe build an agent to chat with you. Who knows? You might end up with a whole AI crew.

Alright, time to get CAMEL-AI on your machine. It’s open-source and lives on GitHub (check the repo), but we’ll keep it simple with pip. Open your terminal or command line and type: