📢 We’ve just integrated Jina AI's Reader API into the 🐫 CAMEL framework! This integration offers a cleaner, more efficient way to extract LLM-friendly content from URLs, significantly enhancing the quality of data fed into language models.

GPT 4.1 Is Now On ChatLLM > It's better than GPT-4o > does not seem to be better than Gemini 2.5 Pro or Sonnet for code > Livebench results point to it being an incremental update to GPT-4o

📢 We’ve integrated Gemini 1.5 into the CAMEL 🐫 framework! This boosts our ability to handle long-context understanding and multi-modal data processing, simplifying large and complex tasks across text, images, and videos.

This integration provides a consistent and isolated environment, making it easy to set up CAMEL, run examples, and develop using Docker. Thanks to @koch309 for contributing to this! 🤝 Explore more here: github.com/camel-ai/camel…

GPT 4.1 Is Aging Very Well :) Our analysis is that it's the best overall model for various use-cases across the spectrum. We will be replacing GPT-4o with GPT 4.1 in RouteLLM today

📢 We’ve just introduced a knowledge graph agent into the 🐫 CAMEL framework. This agent first processes the given text using Unstructured. Next, it extracts relationships between entities from the processed content, enabling more efficient data structuring.

📢 We’ve integrated CLIP embeddings into the 📷 CAMEL framework. This integration allows us to process multimodal data inputs, improving our ability to generate embeddings from both text and image inputs. 🔗 : github.com/camel-ai/

o4-mini may be the REAL STORY It ALSO beats Gemini 2.5 AND is about 2x cheaper! It also comes with prompt caching 💃 A great model to throw into the mix when you are building god-tier AI 😎 Our launch will be on Friday!

This extracts frames, processes them, and generates descriptive text using LLMs with multi-modal capability. Thanks to Maria Orozco Gutierrez for this fantastic addition. 🤝 Explore more here: github.com/camel-ai/camel……

CAMEL🐫 updates! 🛠 Tools: -Discord Bot with RAG -Redis cache -Gemini 1.5 -Docker Support -Code Interpreter -Sync to Async -Claude 3.5 Sonnet -Nemontron API 💡 Other: -OpenAI Embeddings -Docker Compose Read it all here: camel-ai.org/post/releaseno…

o3 is all we need! Just need it to be 100x cheaper and 10x faster. 🤞

🎉 Celebrating 5,000 Stars on GitHub! 🎉 A heartfelt thank you to our amazing community! We couldn’t have reached this milestone without your continuous support and contributions. 🌟 What’s Next? We’re committed to leading the next generation of open-source multi-agent systems.

Bill Gates says AI will replace doctors and teachers. Yes, it will! But what about billionaires? AI will also lead to severe income inequality with a handful of billionaires and billions of have-nots... The only way to prevent this is to push for open-source AI

📢 We’ve added Redis cache storage to the 🐫 CAMEL framework! This enhances data management with high-performance cache storage that scales to meet growing demands. A big thank you to our contributor koch3092 for this contribution. 🤝 Explore more here:

Introducing CRAB 🦀: watch it in action soon.

long overdue question: did your AGI timeline change after the recent developments, or does it remain the same? when did you expect it to be achieved, and what’s your definition? > 2026 > 2027 > 2028–2030 > after 2030

Introducing 🦀 CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents 🦀 CRAB offers a simple, end-to-end framework for building multimodal agents, managing environments, and creating benchmarks for evaluation. It features three core components: 🔀

🦀 CRAB is designed to be a general-purpose benchmark framework for Multimodal Language Model (MLM) agents. We’re excited to present CRAB Benchmark-v0, built with the CRAB framework. It includes 100 tasks across two environments (Ubuntu and Android) and has been tested with four

We've integrated the Code Interpreter into the CAMEL framework! This provides agents with the ability to execute code. A big thanks to our contributor onemquan for their work on this. 🤝

📢 We’ve integrated CLIP embeddings into the 📷 CAMEL framework. This integration allows us to process multimodal data inputs, improving our ability to generate embeddings from both text and image inputs. 📷 github.com/camel-ai/