@ -132,6 +132,7 @@ Below are notable examples of tools and frameworks that are used to build LLM ag
- [Agents](https://github.com/aiwaves-cn/agents): an open-source library/framework for building autonomous language agents. The library supports features including long-short term memory, tool usage, web navigation, multi-agent communication, and brand new features including human-agent interaction and symbolic control.
- [BMTools](https://github.com/OpenBMB/BMTools): extends language models using tools and serves as a platform for the community to build and share tools.
- [crewAI](https://www.crewai.io/): AI agent framework reimagined for engineers, offering powerful capabilities with simplicity to build agents and automations.
- [Phidata](https://github.com/phidatahq/phidata): a toolkit for building AI Assistants using function calling.
## LLM Agent Evaluation
@ -171,4 +172,4 @@ LLM agents are still in their infancy so there are many challenges and limitatio
- [Building LLM applications for production](https://huyenchip.com/2023/04/11/llm-engineering.html#control_flow_with_llm_agents)