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🔮 AI Agents
Welcome to our list of AI autonomous agents. Your favorite one is missing? Add them via pull request. ❤️
AgentGPT
Here is a short summary
Stack:
- Frontend: NextJS + Typescript
- Backend: FastAPI + Python
- DB: MySQL through docker with the option of running SQLite locally
- GitHub
AI Legion
Similar in spirit to AutoGPT and Baby AGI, but written in the superior language that is TypeScript (Author's Description)
AIrplane
Developer infrastructure for internal tools
Aomni
AutoGPT
- [GitHub](https://github.com/Significant-Gravitas/Auto-GPT)
BabyAGI
- Default model is OpenAI GPT3-turbo
- Paper: Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain for Diverse Applications
- The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective.
- The script then uses OpenAI's NLP capabilities to create new tasks based on the objective
BabyCatAGI
BabyCatAGI is a mod of BabyBeeAGI, which is a mod of OG BabyAGI. BabyCatAGI is at 300 lines of code.
BitBuilder
Bloop
Butternut AI
Camel
CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
Cognosys - Friendly UI for building AI agents
Description: web based version of AutoGPT/babyAGI
- Author: Sully Omarr
- Twitter: https://twitter.com/SullyOmarr
Databerry
Factory
Fixie
Generative Agents
- "Paper presenting an architecture that extends a language model to store and synthesize the agent's experiences, enabling dynamic behavior planning in an interactive sandbox environment with generative agents"
GitWit
Grit
HayStack Agent
Hex Magic
Heymoon.ai
Personal assistant for life: to keep you on top of your calendar, tasks and information. Was at Llama event demo
Hyperwrite
Your personal AI writing assistant
Jarvis
LangChain - Agents Round
LastMile AI
Loop GPT
- Languages: Python
- Default model: GPT-3.5-turbo (also possible with GPT-4)
- Modular Auto-GPT Framework
- Plug N Play" API - Extensible and modular "Pythonic" framework, not just a command line tool
- Easy to add new features, integrations and custom agent capabilities, all from python code, no nasty config files!
- Minimal prompt overhead - Every token counts. We are continuously working on getting the best results with the least possible number of tokens.
- Human in the Loop - Ability to "course correct" agents who go astray via human feedback.
- Full state serialization - can save the complete state of an agent, including memory and the states of its tools to a file or python object. No external databases or vector stores required (but they are still supported)!
Minion AI
MultiOn
Naut ai
Pezzo
Saga
Second
Smol developer
Superagent
Sweep
Yourgoal
Description: Swift implementation of BabyAGI.
Author: PJ Gray
Twitter: https://twitter.com/pj4533
Description
No description provided
agentaiartificial-intelligenceautogptautonomous-agentsawesomebabyagicopilotgptgpt-4gpt-engineeropenaipython
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