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| # Autonomous Agents | |
| Autonomous Agents are agents that designed to be more long running. | |
| You give them one or multiple long term goals, and they independently execute towards those goals. | |
| The applications combine tool usage and long term memory. | |
| At the moment, Autonomous Agents are fairly experimental and based off of other open-source projects. | |
| By implementing these open source projects in LangChain primitives we can get the benefits of LangChain - | |
| easy switching and experimenting with multiple LLMs, usage of different vectorstores as memory, | |
| usage of LangChain's collection of tools. | |
| ## Baby AGI ([Original Repo](https://github.com/yoheinakajima/babyagi)) | |
| - [Baby AGI](autonomous_agents/baby_agi.ipynb): a notebook implementing BabyAGI as LLM Chains | |
| - [Baby AGI with Tools](autonomous_agents/baby_agi_with_agent.ipynb): building off the above notebook, this example substitutes in an agent with tools as the execution tools, allowing it to actually take actions. | |
| ## AutoGPT ([Original Repo](https://github.com/Significant-Gravitas/Auto-GPT)) | |
| - [AutoGPT](autonomous_agents/autogpt.ipynb): a notebook implementing AutoGPT in LangChain primitives | |
| - [WebSearch Research Assistant](autonomous_agents/marathon_times.ipynb): a notebook showing how to use AutoGPT plus specific tools to act as research assistant that can use the web. | |
| ## MetaPrompt ([Original Repo](https://github.com/ngoodman/metaprompt)) | |
| - [Meta-Prompt](autonomous_agents/meta_prompt.ipynb): a notebook implementing Meta-Prompt in LangChain primitives | |