CAMEL-AI.org

We’re excited to share some significant updates to the CAMEL 🐫 framework! ✨Model updates: - Integrated OpenAI's o1 models - Integrated SambaNova Systems Cloud API support 📦Storage updates - Integrated NebulaGraph Database 🛠️Tools updates - Integrated WhatsApp - Added the Data Commons Toolkit Read all about it here: https://lnkd.in/ge6uejM8

CAMEL-AI 🐫 Project Meeting (US Time Friendly) will happen in 20mins ! Join us for our development meeting. See the post below for the meeting agenda. 😆

CAMEL-AI🐫 Project Meeting (US Time Friendly) - Next Monday! Join us for our next development meeting to discuss our project’s latest integrations and upcoming features! 🤩🤩🤩 🔧 New Features from the Last Sprint: - 🔍 Add 01 model platform - 🔎 Integrate Qwen model platform - 📝 Add NVIDIA model platform - 🦙 Add more github funcs for github toolkit - 🔗 Support getting data from notion and write content to notion - ⚙️ Integrate Apify - 👀 Agentops support for SambaNova Systems - 📚 'ChatAgent' interface enhancement and default model setting - ⚡ Doc for model speed comparison - 🧑💻 Support taking 'Callable' as 'tools' input to 'ChatAgent' - 👁️ Mock LLM for test purposes 🚀 Features for the Coming Sprint: -🛠️ Add reward models - 🔄 Refactor to 'use api_keys_required' and 'dependencies_required' decorators - 🔑 Add agent checkpointing and resume from checkpoint - 🛡️ Add 'ModelManager' to schedule calls between different model backend - 🗂️ Enhance Knowledge-Intensive Reasoning with StructRAG - 🛠️ Optimize tool doc - 🧑💻 Optimize loader doc - 💻 Integrate the 'OpenAPIToolkit' into the 'ToolkitManager' - 👀 Unify toolkit output for both human user and agent - 🧑💻Critic selection mechanism for models don’t support multiple response at one time ⏰ When: 17:00 (BST) / 09:00 (PDT) 💯 Where: https://lnkd.in/dxGYGTMq

We hosted the first LLM multi-agent systems workshop & hackathon in the UK. 🤖 🤝 Massive thanks to everyone who came and participated in this; it was amazing to see what people could build in such a short time. 🚀 Here’s a breakdown of all the winners of the Mastering Multi-Agent Systems 🐫 CAMEL-AI Hackathon: https://lnkd.in/eFxkeXj4

🔍 Check out this visual overview of multi-agent design with the 🐫 CAMEL framework. From single agents to collaborative role-playing sessions and now the powerful Workforce module, each layer of this design has unique advantages and disadvantages. Find out more about Workforce here: https://lnkd.in/eHjXFM_A Try some of our examples: https://lnkd.in/efPhsUUg

We've just added the Workforce module in the 🐫 CAMEL framework! Workforce is a system where multiple agents work together to solve tasks. 🤖🤖 🤖 Workforce follows a hierarchical architecture. A workforce can consist of multiple worker nodes, and each of the worker nodes will contain one agent or multiple agents as the worker. The worker nodes are managed by a coordinator agent inside the workforce, and the coordinator agent will assign tasks to the worker nodes according to the description of the worker nodes, along with their tool sets. ⚒️ Alongside the coordinator agent, there is also a task planner agent inside the workforce. The task planner agent will take the responsibility of decomposing and composing tasks, so that the workforce can solve the task step by step. In the example below, you can see how a workforce of agents work together to plan a trip to Paris. See the example: https://lnkd.in/e47PfS-G Thanks to our contributors 🤝 WHALEEYE & yiyiyi0817 for this significant update. Explore more here: https://lnkd.in/e-SgWjte Find out more about Workforce in our docs: https://lnkd.in/eHjXFM_A

We’re excited to share some significant updates to the 🐫 CAMEL framework! 📂 Docs updates: - Updated CAMEL-AI website Docs. ✨ Model updates: - Added subprocess support for Ollama and vLLM models. ⚒️ Tool updates: - Integrated the Reddit, Inc. toolkit. - Integrated Firecrawl's map. - Simplified tool settings. 🤖 Agent updates: - Enhanced our workforce module to make it more stable. Read all about it here: https://lnkd.in/edUfaHpq

We’re excited to share some significant updates to the 🐫 CAMEL framework! 📂 Docs updates: - Updated CAMEL-AI website Docs. ✨ Model updates: - Added subprocess support for Ollama and vLLM models. ⚒️ Tool updates: - Integrated the Reddit, Inc. toolkit. - Integrated Firecrawl's map. - Simplified tool settings. 🤖 Agent updates: - Enhanced our workforce module to make it more stable. Read all about it here: https://lnkd.in/edUfaHpq

CAMEL-AI🐫 Project Meeting (US Time Friendly) - in 5mins! Join us for our next development meeting to discuss our project’s latest integrations and upcoming features! 🤩🤩🤩 🔧 New Features from the Last Sprint: - 🦙 Integrate Slack App - 🔗 Integrate Discord App - ⚙️ Support Mistral AI’s ministral 3b and 8b model, pixtral model - 💬 Integrate WhatsApp - 📚 Integrate Google Scholar toolkit - ⚡ Integrate arXiv toolkit - 🧑💻 Refactor 'ModelType', so that it can both support predefined model types (Enum) and user customized input strings - 👁️ Integrate AskNews as toolkit - 👀 Refactor 'OpenAIFunction' to 'FunctionTool' - 💻 Make 'system_message' as optional 🚀 Features for the Coming Sprint: -🛠️ Unify format of the docstring for all code - 🔍 Add 01 model platform - 📝 Add NVIDIA model platform - 🔄 Update readme.md with features and some main feature code sinppets - 🔑 Add agent checkpointing and resume from checkpoint - 🛡️ Add the asynchronous calling capabilities of 'firecrawl_reader&github_toolkit' - 🔎 Integrate Qwen model platform - 🗂️ Integrate Semantic Scholar - 🛠️ Add ‘ModelManager’ to schedule calls between different model backend - 🧑💻 Simplify 'ChatAgent' interfaces ⏰ When: 17:00 (BST) / 09:00 (PDT) 💯 Where: https://lnkd.in/dVEGEZf6

✨ A huge thank you to everyone who joined us for the Mastering Multi-Agent Systems CAMEL-AI Workshop & Hackathon ✨ We’re thrilled to have welcomed such a passionate group of people to explore the possibilities of multi-agent systems. 🤝 We will follow up with a thread soon on all the winning projects! Special thanks to our incredible partners, speakers, judges, and sponsors — Mistral AI, Qdrant, SambaNova Systems, Firecrawl, Oxford Artificial Intelligence Society, Oxford Founders Society, Chunkr by Lumina, Eigent AI, AgentOps by Agency, Philip Torr, Guohao Li, Walter Goodwin and Francesca Raimondi. — for their invaluable support. This was the UK's first LLM multi-agent systems workshop & hackathon; we look forward to seeing you all at the next one!