Top 9 Python llm-agent Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Interactive-LLM-Powered-NPCs
Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! 🎮🤖🚀
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NeoGPT
Chat effortlessly, execute commands, and interpret code with Llama3, Phi3, and more - your local AI assistant. Enjoy seamless interaction while ensuring ultimate privacy
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edsl
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs. (by expectedparrot)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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airbyte-connector-generator-poc
proof of concept to generate Airbyte low-code YAML connectors from API documentation
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medprompt
Collection of LLM prompts, tools, chains and agents for healthcare using LangChain & FHIR.
Project mention: Ask HN: Tell us about your project that's not done yet but you want feedback on | news.ycombinator.com | 2023-08-16This is very cool! I just downloaded the extension and tried a hello world program. Will tinker a bit more.
If you can make a library to run python code inside a JS project (like Next JS) then we could build a code interpreter in Next JS. Would be super cool. Here is a python implementation - https://github.com/shroominic/codeinterpreter-api - for your reference.
Project mention: Han benchmarked LLM's para comparar resultados, costo, etc? | /r/chileIT | 2023-12-06
Project mention: OpenAI: Streaming is now available in the Assistants API | news.ycombinator.com | 2024-03-14This was indeed true in the beginning, and I don’t know if this has changed. Inserting messages with Assistant role is crucial for many reasons, such as if you want to implement caching, or otherwise edit/compress a previous assistant response for cost or other reason.
At the time I implemented a work-around in Langroid[1]: since you can only insert a “user” role message, prepend the content with ASSISTANT: whenever you want it to be treated as an assistant role. This actually works as expected and I was able to do caching. I explained it in this forum:
https://community.openai.com/t/add-custom-roles-to-messages-...
[1] the Langroid code that adds a message with a given role, using this above “assistant spoofing trick”:
https://github.com/langroid/langroid/blob/main/langroid/agen...
It is different this time, though. Take a look at this open source project.[1]
This is a system which lets you talk to NPCs in video games. It's a collection of off the shelf components held together by some Python code. The components do this:
- Listen to the user talking and convert speech to text.
- Watch the user's facial expressions via webcam.
- Watch the game, and use face recognition on the game images to determine what character is being addressed.
- Run the user's text through a LLM preloaded with about 30 lines of info about the NPC to generate a reply.
- Generate voice output in a voice generated to match the character's persona.
- Modify the image of the character on screen to animate their facial expressions to match the voice output. This is done on the output image, not by animating the 3D character.
Five years ago, that was science fiction. A year ago, half that stuff wouldn't work right. Now it's someone's hobby project.
[1] https://github.com/AkshitIreddy/Interactive-LLM-Powered-NPCs
One of the most interesting projects I came across this month was NeoGPT. It's a GPT based application that is being built to converse with documents and videos. While still in its infancy, the project has outlined a cool roadmap and has a very active base of contributors continuously expanding on its functionality. The project appeals to my desire to learn how to work with AI and neural networks. It is also at a development stage that it is not outside of the reach of my comprehension. Icing on the cake being it's Py based, which is my sharpest tool at the moment. I see it as a decent project to stay tapped into and grow my skills as the application develops.
Project mention: Python package for administering surveys to LLMs | news.ycombinator.com | 2024-04-18
Project mention: Doctor interested in AI specifically how it will effect medicine - are there any good books to read on this? | /r/ArtificialInteligence | 2023-12-06MedPrompt GitHub (note, not the medprompt from the first paper): https://github.com/dermatologist/medprompt
Python llm-agent related posts
Index
What are some of the best open-source llm-agent projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | codeinterpreter-api | 3,673 |
| 2 | AgentBench | 1,878 |
| 3 | langroid | 1,698 |
| 4 | LLMCompiler | 1,105 |
| 5 | Interactive-LLM-Powered-NPCs | 429 |
| 6 | NeoGPT | 63 |
| 7 | edsl | 64 |
| 8 | airbyte-connector-generator-poc | 15 |
| 9 | medprompt | 1 |
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