SuperAGI
chathub
Our great sponsors
SuperAGI | chathub | |
---|---|---|
82 | 30 | |
14,442 | 9,480 | |
- | 2.7% | |
9.9 | 9.7 | |
18 days ago | 27 days ago | |
Python | TypeScript | |
MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SuperAGI
- Introducing GPTs
-
🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
Repo : https://github.com/TransformerOptimus/SuperAGI
-
Introduction to Agent Summary – Improving Agent Output by Using LTS & STM
The recent introduction of the “Agent Summary” feature in SuperAGI version 0.0.10 has brought a drastic difference in agent performance – improving the quality of agent output. Agent Summary helps AI agents maintain a larger context about their goals while executing complex tasks that require longer conversations (iterations).
-
🚀✨SuperAGI v0.0.10✨is now live on GitHub
Checkout the full release here: https://github.com/TransformerOptimus/SuperAGI/releases/tag/v0.0.10
-
Top 20 Must Try AI Tools for Developers in 2023
10. SuperAGI
-
We're bringing in Google 's PaLM2 🦬 Bison LLM API support into SuperAGI in our upcoming v0.0.8 release
Currently, PaLM2 Bison is live on the dev branch of SuperAGI GitHub for the community to try: https://github.com/TransformerOptimus/SuperAGI/tree/dev
-
Why use SuperAGI
SuperAGI is made with developers in mind, therefore it takes into account their requirements and preferences when making autonomous AI agents. It has a number of advantages, including:
- In five years, there will be no programmers left, believes Stability AI CEO
-
LLM Powered Autonomous Agents
I think for agents to truly find adoption in real world, agent trajectory fine tuning is critical component - how do you make an agent perform better to achieve particular objective with every subsequent run. Basically making the agents learn similar to how we learn when we
Also I think current LLMs might not fit well for agent use cases in mid to long term because the RL they go through is based on input-best output methods whereas the intelligence that you need in agents is more around how to build an algorithm to achieve an objective on the fly - this requires perhaps new type of large models ( Large Agent Models ? ) which are trained using RLfD ( Reinforcement Learning from demonstration )
Also I think one of the key missing piece is a highly configurable software middle ware between Intelligence ( LLMs ), Memory ( Vector Dbs ~LTMs, STMs ), Tools and workflows across every iteration. Current agent core loop to find next best action is too simplistic. For example if core self prompting loop or iteration of an agent can be configured for the use case in hand. Eg for BabyAGI, every iteration goes through workflow of Plan, Prioritize and Execute or in AutoGPT it finds the next best action based on LTM/STM, or GPTEngineer it is to write specs > write tests > write code. Now for dev infra monitoring agent this workflow might be totally different - it would look like consume logs from different tools like Grafana, Splunk, APMs > See if it doesnt have an anomaly > if it has an anomaly then take human input for feedback. Every use case in real world has it's own workflow and current construct of agent frameworks have this thing hard coded in base prompt. In SuperAGI( https://superagi.com) ( disclaimer : Im creator of it ), core iteration workflow of agent can be defined as part of agent provisioning.
Another missing piece is notion of Knowledge. Agents currently depend entirely upon knowledge of LLMs or search results to execute on tasks, but if a specialised knowledge set is plugged to an agent, it performs significantly better.
-
Created a simple chrome dino game using SuperAGI's SuperCoder 😵 The dino changes color on every run :P (without writing a single line of code myself)
Build your own game here: https://github.com/TransformerOptimus/SuperAGI
chathub
-
Saving a session, is it possible?
Try ChatHub, it's a third party chatbot client which supports Bard, and have conversation history feature
-
(2/2) May 2023
ChatHub is an all-in-one chatbot client (https://github.com/chathub-dev/chathub/blob/main/README.md)
-
ChatGPT Vs. Bard Vs. Bing - Which AI Tool is Better ?
Try https://chathub.gg to find out.
-
This week's top indie projects & discussions at a glance
ChatHub - Use ChatGPT, Bard, Bing & Claude in one app
-
AI Weekly Rundown (May 13 to May 19) : News from ChatGPT Plugins, Hugging Face, Amazon, Microsoft, Humanoid bot, Healthcare and more.
Use ChatGPT, Bing, Bard, and Claude in one app with ChatHub (Link)
-
You can use ChatGPT iOS models on desktop
You can install ChatHub here: https://chathub.gg
-
Two-minute Daily AI News (Date: 5/16/2023): News from Amazon, Healthcare, SAP, OpenAI.
ChatGPT, Bing, Bard, and Claude - Use different chatbots in one app with ChatHub. Users can compare chatbot answers and use ChatGPT's faster and more cost-effective API mode. The platform also features markdown, code highlight support, a prompt library, and much more. (Source)
- Show HN: Use ChatGPT, Bing, Bard and Claude in One App
- ChatHub: open source client for multiple chatbots
What are some alternatives?
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.
ChatALL - Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
prompt-engineering - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
menubar - AI Chat Browser: Fast, Full webapp access to ChatGPT / Claude / Bard / Bing / Llama2! I use this 20 times a day. [Moved to: https://github.com/smol-ai/GodMode]
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
DB-GPT - AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
AgentGPT - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
AutoLearn-GPT - ChatGPT learns automatically.
CodeT5 - Home of CodeT5: Open Code LLMs for Code Understanding and Generation