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🔮 AI Agents
Welcome to our list of popular AI autonomous agents. Your favorite one is missing? Add them via pull request. Discussion and feedback appreciated ❤️
Open Source Projects
AgentGPT
A browser-based implementation of AutoGPT, accessible via a no-code platform
How it works
- A no-code platform
- Assigning a goal to the agent, witnessing its thinking process, and formulation of an execution plan and taking actions accordingly
Features
- Uses OpenAI functions
- Supports gpt-3.5-16k, pinecone and pg_vector databases
Links
Stack
- Frontend: NextJS + Typescript
- Backend: FastAPI + Python
- DB: MySQL through docker with the option of running SQLite locally
Links
AI Legion
Similar in spirit to AutoGPT and Baby AGI, but written in TypeScript
AutoGPT
- A lot like BabyAGI combined with LangChain tools.
- Can execute many commands such as Google Search, browse websites, write to files, and execute Python files
- GitHub
BabyAGI
How it works
- 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
- Leverages OpenAI's GPT-4, pinecone vector search, and LangChainAI framework
- Default model is OpenAI GPT3-turbo
- The system maintains a task list for managing and prioritizing tasks
- It autonomously creates new tasks based on completed results and reprioritizes the task list accordingly, showcasing the adaptability of AI-powered language models
###Links
BabyCatAGI
BabyCatAGI is a mod of BabyBeeAGI, which is a mod of OG BabyAGI
How it works
- Just 300 lines of code
- This was built as a continued iteration on the original BabyAGI code in a lightweight way. Differences to BabyAGI include the following:
- Task Creation Agent runs once
- Execution Agent loops through tasks
- Task dependencies for pulling relevant results
- Two tools: search_tool and text_completion
- “Mini-agent” as tool
- Search tool combines search, scrape, chunking, and extraction.
- Results combined to create summary_report
How to use
- Fork this into a private Repl
- Add your OpenAI API Key (required) and SerpAPI Key (optional)
- Update the OBJECTIVE variable
- Press "Run" at the top.
Links
Bloop
A GPT-4 powered semantic code search engine that uses an AI agent
Bloop is a new semantic code search tool that helps you understand your codebase lightning fast!
Bloop AI For programmers: Find Code. On Rust and Typescript.
• Code Discovery • Human Exploration • Stage changes • A blazing fast code search and regex matching engine written in Rust
• An intelligent AI agent, powered by GPT-4 and semantic code search
• Precise code navigation, built on stack graphs and scope queries
Camel
An agent architecture for “Mind” Exploration of Large Scale Language Model Society
- AI user agent: give instructions to the AI assistant with the goal of completing the task.
- AI assistant agent: follow AI user’s instructions and respond with solutions to the task
Links
- Paper - CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
- Colab demo
- GitHub
- Hugging face datasets
- Slack
- Authors: Guohao Li∗ Hasan Abed Al Kader Hammoud* Hani Itani* Dmitrii Khizbullin, Bernard Ghanem
Databerry
GitWit
GPT Engineer
An AI agent that generates an entire codebase based on a prompt
How it works
- Model: GPT 4
- Specify your project, and the AI agent acks for clarification, and then constructs the entire code base
Features
- Made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt
- You can specify the "identity" of the AI agent by editing the files in the identity folder
- Editing the identity, and evolving the main_prompt, is currently how you make the agent remember things between projects
- Each step in steps.py will have its communication history with GPT4 stored in the logs folder, and can be rerun with scripts/rerun_edited_message_logs.py
Links
- Author: Anton Osika
- Twitter review by @Attack
Jarvis
Lindy
An AI assistant that can help with daily tasks, e.g., calendar management, email drafting, and contract sending
How it works
- Lindy is still in a beta version
Features
- Lindy triages your email
- She learns from your inbox and automatically surfaces the highest-priority emails for you
- Automatic conflict handling
- Daily briefing
- Contract management
- Meeting note taking
- Summarization
Loop GPT
How it works
- 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
Features
- "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)!"
LocalGPT
Inspired by privateGPT
How it works
- Most of the description on readme is inspired by the original privateGPT
- Model: Vicuna-7B
- Using InstructorEmbeddings
- Both Embeddings as well as LLM will run on GPU. It also has CPU support if you do not have a GPU
- Built with Langchain
Features
- Ask questions to your documents without an internet connection, using the power of LLMs. 100% private, no data leaves your execution environment at any point. You can ingest documents and ask questions without an internet connection!
Links
Mini AGI
- MiniAGI is a minimal general-purpose autonomous agent based on GPT-3.5 / GPT-4. Can analyze stock prices, perform network security tests, create art, and order pizza
- MiniAGI is a simple autonomous agent compatible with GPT-3.5-Turbo and GPT-4. It combines a robust prompt with a minimal set of tools, chain-of-thoughts, and short-term memory with summarization. It is also capable of inner monologue and self-criticism.
Pezzo
Saga
Maybe link directly to their AI product? https://saga.so/ai It's not an agent yet though, I think. They're moving in the agent direction.
Second
Closed source.
Smol developer
Superagent
Not a single agent. You can create agents without coding with this tool.
Sweep
Closed source.
Teenage AGI
Can recall infinite memory, THINKS before it speaks, and doesn't lose memory after being shutting down
How it works
- Model: GPT-4
- Language: Python
- Uses OpenAI and Pinecone to give memory to an AI agent and also allows it to "think" before making an action (outputting text)
- Also, just by shutting down the AI, it doesn't forget its memories since it lives on Pinecone and its memory_counter saves the index that it's on
Here is what happens every time the AI is queried by the user:
- AI vectorizes the query and stores it in a Pinecone Vector Database
- AI looks inside its memory and finds memories and past queries that are relevant to the current query
- AI thinks about what action to take
- AI stores the thought from Step 3
- Based on the thought from Step 3 and relevant memories from Step 2, AI generates an output
- AI stores the current query and its answer in its Pinecone vector database memory
Links
- Created by @sean_pixel !
“Westworld” simulation
Westworld is a multi-agent simulation library, its goal to simulate and optimize systems and environments with multiple agents interacting.
- Researchers from Stanford and Google created an interactive sandbox env with 25 Gen AI agents can simulate human behavior
- They walk in the park, join for coffee at a cafe, and share news with colleagues. They demonstrated surprisingly good social
- Westworld's inspiration is drawn from Unity software and Unity ML Agents, adapted in Python
Underlying paper - Generative Agents
- A paper simulating interactions between tens of agents
- 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
Links
Languages
- The library is available on PyPi via pip install westworld
- Javascript version (being developed)
Features
- Easy creation of Grid and non-grid environments
- Objects (Agents, Obstacles, Collectibles, Triggers)
- Subclassing of different objects to create custom objects
- Spawner to generate objects randomly in the environment
- Basic rigid body system for all objects
- Simple agent behaviors (pathfinding, wandering, random walk, fleeing, vision range)
- Automatic maze generation
- Layer integration to convert image to obstacle and snap it to a grid
- Sample simulations and sample agents for classic simulations
- Simulation visualization, replay and export (gif or video)
WorkGPT
Features
- WorkGPT now has OpenAI's new function invocation feature baked into it
- While chaining together APIs was possible before (see AutoGPT), it was slow, expensive, and error prone
- The tweet announcing this feature
Yourgoal
Open source
Swift implementation of BabyAGI.
Author: PJ Gray
Twitter: https://twitter.com/pj4533
Companies building agents and closed-source projects
AIrplane
Note: Airplane isn't AI agent. It's a company with a product for building internal tools. They're building an AI assistant here https://www.airplane.dev/autopilot. This is the link I'd be using. It's closed source.
Turning APIs, SQL queries, and scripts into apps for the entire team
How it works
- A developer-centric approach to building internal UIs and workflows
Features
- Airplane lets you turn SQL queries, JavaScript/Python code, HTTP requests, etc into tasks
- Allows to run tasks through a no-code dashboard
- Tasks for customer support, on-call runbooks, and scheduled tasks
Links
Aomni
Note: Closed source.
An AI agent specifically designed for research
How it works
- Breaks down a high level research question into a step-by-step plan, and executes it
- Diverse tools, including a full web browser
- Can access internet information without the need for an API
- "We don't generate content using AI, as it can be unreliable. Instead, we extract relevant information from trusted sources, cluster and process it into a user-friendly format."
- AI-powered query planner intelligently routes and executes requests, ensuring correctness and diverse source selection
Links
BitBuilder
"Virtual intern for developers", generates code via PRs raised against your repository
How it works
- Create an Issue
- Approve the Implementation Plan
- Review the Pull Request
Features
- Writing code
- Reviewing changes
- Addressing comments
- Answering questions
BitBuilder Junior
- BitBuilder Junior is an intern-level code generation tool that lives in your GitHub repository. It follows instructions to implement unamibigous code changes by changing multiple files, writing tests for generated code, and matching the style, framework, and libraries you're already using.
Links
- GitHub Marketplace
- Slack
- [Installation(https://docs.bitbuilder.ai/install)]
Butternut AI
A tool for creating a fully-functioning, ready-to-launch website in 20 seconds
Fetaures
- No coding required thanks to user-friendly interface
- Full SEO optimization
- Picture Upload: Users can conveniently upload and regenerate their own pictures for unlimited customization of their profiles
- Profile Customization: Users have the flexibility to customize their profiles by hiding sections, adding social media links, and sharing contact details, allowing them to showcase their unique personality and brand
- Instant Preview: Users can instantly visualize their profile changes through a conveniently placed preview button, ensuring a quick assessment of the desired appearance
- 30% Faster Speed: The app achieves an impressive 30% increase in website generation speed, providing users with a fast and efficient website building experience.
Cognosys
Web based version of AutoGPT/babyAGI
- Friendly UI for building AI agents
- Author: Sully Omarr
Diagram
AI-powered design tools for everything from copywriting to generating unique icons from text
Features
- Magic Copy writes, edits, and rewrites Figma text layers so you can design with real copy
- Generating images in Figma while designing
- Magic Rename intelligently names your layers so you can spend more time designing
- Magician works right inside your favorite design tool (e.g., Figma)
- Possible to get all the latest AI design advancements + future spells in one convenient plugin
Factory
Fixie
- Not open source
Friday
A developer assistant able to make whole nodejs project with unlimited prompts
How it works
- Provides a core prompt for building the foundation of your application
- Allows you to add unlimited sections, each of which is a prompt representing a specific part of your app
Features
- Friday utilizes GPT-4 for AI assistance, but it has been tested and optimized with GPT-4-32k for improved speed and better results.
- It requires 2 small requests for your app's base and 1 request per section you provide.
- Friday employs esbuild behind the scenes for every app created by it.
Links
- Author: Amirreza Salimi
Grit
A beta version of a tool for fixing technical gap automatically, putting code migrations and dependency upgrades on autopilot
How it works
- Grit uses machine learning and static analysis to auto-generate pull requests for cleaning up technical debt
- Users can declare how they want their code to be structured and let Grit rewrite it for them
Links
Hex Magic
Heymoon.ai
Personal assistant for life: to keep you on top of your calendar, tasks and information
Features
- Personal assistant for life: to keep you on top of your calendar, tasks and information. Was at Llama event demo
LastMile AI
I spoke with them, they're building an SDK that should be something like "Langchain for enterprises". Not an agent
- Not an open-source project
Minion AI
Closed source. Made by creator GitHub Copilot.
MultiOn
Closed source.
Naut ai
Closed source. I'll be talking to a founder next Thursday.
👋 Wanna discuss AI agents and more?
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