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https://github.com/kaushikb11/awesome-llm-agents
A curated list of awesome LLM agents.
https://github.com/kaushikb11/awesome-llm-agents
List: awesome-llm-agents
agents langchain llm
Last synced: 7 days ago
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A curated list of awesome LLM agents.
- Host: GitHub
- URL: https://github.com/kaushikb11/awesome-llm-agents
- Owner: kaushikb11
- Created: 2023-04-04T10:22:43.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-18T07:01:55.000Z (8 months ago)
- Last Synced: 2024-05-19T19:01:31.123Z (6 months ago)
- Topics: agents, langchain, llm
- Homepage:
- Size: 4.88 KB
- Stars: 338
- Watchers: 10
- Forks: 23
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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README
# Awesome LLM agents [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
A curated list of awesome LLM agents. Open source, application, platform, or resources. If you have a suggestion, feel free to open an issue or pull request.
## Table of Contents
- [Awesome LLM agents](#awesome-llm-agents)
- [Frameworks](#frameworks)
- [Applications](#applications)
- [Platforms](#platforms)
- [Papers](#papers)
- [Talks](#talks)---
## Frameworks
* [Langchain](https://github.com/hwchase17/langchain) - Building applications with LLMs through composability.
* [CSV Agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/csv.html)
* [JSON Agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/json.html)
* [OpenAPI Agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/openapi.html)
* [Pandas Dataframe Agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/pandas.html)
* [Python Agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/python.html)
* [SQL Database Agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/sql_database.html)
* [Vectorstore Agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/vectorstore.html)
* [Llama Index](https://github.com/run-llama/llama_index) - Data framework for your LLM application.
* [Llama Hub](https://github.com/run-llama/llama-hub) - Community driven library for data loaders, readers and tools.
* [Haystack](https://github.com/deepset-ai/haystack) - End-to-end NLP framework that enables you to build NLP applications.
* [Haystack Agent](https://docs.haystack.deepset.ai/docs/agent)
* [SearchEngine](https://docs.haystack.deepset.ai/docs/search_engine)
* [TopPSampler](https://docs.haystack.deepset.ai/docs/toppsampler)
* [Embedchain](https://github.com/embedchain/embedchain) - Framework to create ChatGPT like bots over your dataset.
* [JS Repo](https://github.com/embedchain/embedchainjs)---
## Applications* [VisualGPT](https://github.com/microsoft/visual-chatgpt) - It connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.
* [Lindy AI](https://www.lindy.ai/) - Your AI personal assistant.
* [CensusGPT](https://censusgpt.com/) - Ask any questions related to census data.
* [Hearth AI](https://www.hearth.ai/) - Agentic Relationship Management.
* [RCI Agent for MiniWoB++](https://github.com/posgnu/rci-agent) - Language Models can Solve Computer Tasks
* [babyagi](https://github.com/yoheinakajima/babyagi) - An AI-powered task management system.---
## Platforms* [ChatGPT plugins](https://platform.openai.com/docs/plugins/introduction) - Connect ChatGPT to third-party applications.
* [fixie.ai](https://www.fixie.ai/) - Build natural language agents that connect to your data, talk to APIs, and solve complex problems.---
## Papers* [Toolformer](https://arxiv.org/abs/2302.04761) - Language Models Can Teach Themselves to Use Tools
* [Visual ChatGPT](https://arxiv.org/abs/2303.04671) - Talking, Drawing and Editing with Visual Foundation Models
* [HuggingGPT](https://arxiv.org/abs/2303.17580) - Solving AI Tasks with ChatGPT and its Friends in HuggingFace---
## Talks* [LangChain Agents - Joining Tools and Chains with Decisions](https://www.youtube.com/watch?v=ziu87EXZVUE)