Research
TL;DR: We’ve rolled out updates to enhance agent observability, streamline web scraping, and improve memory management.
- Added support for AgentOps: By supporting AgentOps, we're enhancing observability, improving agents running process tracking. This tool records LLM calls, tracks toolkit usage, and offers valuable insights for better agent management. Thanks to our contributor Wendong-Fan for this effort. 🤝 Explore more here.
.png)
- Integrated Firecrawl: By doing so, we're enabling developers to perform efficient web scraping and crawling tasks, turning website data into markdown ready for use with LLMs. Thanks to our contributor Wendong-Fan for working on this. 🤝 Explore more here.
.png)
- Enhanced the record memory functionality: This improvement simplifies code operation and prevents duplicate entries by managing message recordings efficiently. Thanks to our contributor raywhoelse for this valuable update. 🤝 Explore more here.
- Enhanced the Retrieval Module to support string inputs: By doing so, we enhance the module's versatility, allowing it to process and query content directly from strings in addition to local file paths and URLs. Thanks to our contributor Wendong-Fan for implementing this feature. 🤝 Explore more here.
Hello there, passionate AI enthusiasts! 🌟 We are 🐫 CAMEL-AI.org, a global coalition of students, researchers, and engineers dedicated to advancing the frontier of AI and fostering a harmonious relationship between agents and humans.
📘 Our Mission: To harness the potential of AI agents in crafting a brighter and more inclusive future for all. Every contribution we receive helps push the boundaries of what’s possible in the AI realm.
🙌 Join Us: If you believe in a world where AI and humanity coexist and thrive, then you’re in the right place. Your support can make a significant difference. Let’s build the AI society of tomorrow, together!
