autonomous-agents

Open-source projects categorized as autonomous-agents
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Language: + Python + JavaScript + Go + Rust
Topics: AI Artificial intelligence gpt-4 openai Python
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Top 18 autonomous-agent Open-Source Projects

  • AutoGPT

    AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

    • Project mention: Accessible AI for Everyone | news.ycombinator.com | 2024-01-08

  • SuperAGI

    <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

    • Project mention: Introducing GPTs | news.ycombinator.com | 2023-11-06

  • 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.

    InfluxDB logo

  • awesome-ai-agents

    A list of AI autonomous agents

    • Project mention: Open-source secure sandboxes for AI code execution | news.ycombinator.com | 2024-05-07

  • agents

    An Open-source Framework for Autonomous Language Agents (by aiwaves-cn)

    • Project mention: New OS Python Framework "Agents" Introduced for Autonomous Language Agents | /r/deeplearning | 2023-09-21

    (arXiv) (github)

  • DemoGPT

    Create 🦜️🔗 LangChain apps by just using prompts🌟 Star to support our work! | 只需使用句子即可创建 LangChain 应用程序。 给个star支持我们的工作吧！

    • Project mention: Llama 2 Code Interpreter | news.ycombinator.com | 2023-07-23

  • ToRA

    ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting with tools [ICLR'24].

    • Project mention: Tora: A Tool-Integrated Reasoning Agent | news.ycombinator.com | 2023-10-07

  • babyagi-asi

    BabyAGI: an Autonomous and Self-Improving agent, or BASI

    • Project mention: Overview: AI Assembly Architectures | /r/AI_Agents | 2023-10-04

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  • Adala

    Adala: Autonomous DAta (Labeling) Agent framework

    • Project mention: Ask HN: Are you using a GPT to prompt-engineer another GPT? | news.ycombinator.com | 2024-01-29

    We recently open sourced an agent framework [1] for automating data processing and labeling where the prompt is refined trough iterations (i.e. automatic prompt tuning). We tested it on the Math reasoning dataset GSM8k and where able to improve the baseline accuracy (GPT4) by 45% -> 74% using 25 labeled examples (I'll put the notebook and blog post linked below [2][3]). Results are definitively very interesting, if not surprising with some skills, and we see more and more of our open source users and customers showing interested in the framework for automating labeling / having it as a data processing / labeling copilot.

    [1] https://github.com/HumanSignal/Adala

    [2] https://github.com/HumanSignal/Adala/blob/master/examples/gs...

    [3] https://labelstud.io/blog/mastering-math-reasoning-with-adal...

  • 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! 🎮🤖🚀

    • Project mention: AI: Startup vs Incumbent Value | news.ycombinator.com | 2023-07-18

    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

  • Awesome-AGI

    A curated list of awesome AGI frameworks, software and resources

    • Project mention: Overview: AI Assembly Architectures | /r/AI_Agents | 2023-10-04

    github.com/Awesome-AGI

  • agency

    🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach. (by neurocult)

    • Project mention: Agency: Pure Go LangChain Alternative | news.ycombinator.com | 2023-11-27

    I would, at the very least, wrap the errors being returned inside the process function https://github.com/neurocult/agency/blob/14b14e50a7570189388...

    Or, I suppose the user must handle exception behavior in their custom `OperationHandler`

  • beebot

    An Autonomous AI Agent that works

    • Project mention: Overview: AI Assembly Architectures | /r/AI_Agents | 2023-10-04

    BeeBot: github.com/AutoPackAI/beebot

  • agents-aea

    A framework for autonomous economic agent (AEA) development

  • YAWNING-TITAN

    YAWNING TITAN is an abstract, graph based cyber-security simulation environment that supports the training of intelligent agents for autonomous cyber operations.

  • GPT-HTN-Planner

    A Hierarchical Task Network planner utilizing LLMs like OpenAI's GPT-4 to create complex plans from natural language that can be converted into an executable form.

    • Project mention: Can LLMs Reason and Plan? | news.ycombinator.com | 2023-09-14

    "Plan" means a lot of things.

    There has been some research in applying GPT-4 to Hierarchical Task Networks (HTN), one means of doing computerized semi-automated/automated planning of a complex task as a tree of less and less complex tasks [1].

    There are other types of planning. Automated planning works better as there are more defined the tasks in a plan, less ambiguity in dependencies, more separate between the tasks. The OP article touches on that, noting LLMs are good at extracting planning knowledge but not good in their experience at creating executable plans. This is why I think the hybrid approach is best, using an LLM to inform and tweak other planning tools in order to create an executable plan.

    [1] https://github.com/DaemonIB/GPT-HTN-Planner

  • rust-agent-based-models

    Reliable and efficient agent-based models in Rust

  • counterstake-bridge

    Assistant/watchdog for Counterstake Bridge https://counterstake.org

  • ACE_Model_Implementation

    A python implementation of Dave Shap's ACE Model

    • Project mention: Working on an Autonomous Cognitive Entity Model with Python Implementation on GitHub - What do you guys think? | /r/cognitivearchitecture | 2023-07-25

    It's currently barebones (the joys of early development stages), but here it is: https://github.com/Ckemplen/ACE_Model_Implementation/tree/master

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

autonomous-agents related posts

Index

What are some of the best open-source autonomous-agent projects? This list will help you:

Project Stars
1 AutoGPT 161,878
2 SuperAGI 14,588
3 awesome-ai-agents 6,903
4 agents 4,572
5 DemoGPT 1,582
6 ToRA 829
7 babyagi-asi 748
8 Adala 748
9 Interactive-LLM-Powered-NPCs 429
10 Awesome-AGI 404
11 agency 384
12 beebot 368
13 agents-aea 191
14 YAWNING-TITAN 51
15 GPT-HTN-Planner 30
16 rust-agent-based-models 25
17 counterstake-bridge 10
18 ACE_Model_Implementation 7

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