🔮 Awesome AI Agents

Welcome to our list of AI agents. We structured the list into two parts:

Open source projects
Closed-source projects and companies

The list is done according to our best knowledge, although definitely not comprehensive. Discussion and feedback appreciated! ❤️

Have anything to add?

You have something to add or improve about our list? Do it via pull request.

Who's behind this?

This list is made by the team behind e2b. E2b is building AWS for AI agents. We help developers to deploy, test, and monitor AI agents. E2b is agnostic to your tech stack and aims to work with any tooling for building AI agents.

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Want to discuss anything about AI agents? Schedule a call with us

Feel free to reach out to us at hello@e2b.dev.

👐 Open-source projects

AgentGPT

A browser-based implementation of AutoGPT, accessible via a no-code platform

Description

A no-code platform
Process:
- Assigning a goal to the agent
- Witnessing its thinking process
- Formulation of an execution plan
- Taking actions accordingly
Uses OpenAI functions
Supports gpt-3.5-16k, pinecone and pg_vector databases
Stack
- Frontend: NextJS + Typescript
- Backend: FastAPI + Python
- DB: MySQL through docker with the option of running SQLite locally

AI Legion

A platform for agents to work together, similar in spirit to AutoGPT and Baby AGI, but written in TypeScript

Description

An LLM-powered autonomous agent platform
A framework for autonomous agents who can work together to accomplish tasks
Interaction with agents done via console direct messages

AutoGPT

An experimental open-source attempt to make GPT-4 fully autonomous, with >140k stars on GitHub

Description

Chains together LLM "thoughts", to autonomously achieve whatever goal you set
Internet access for searches and information gathering
Long-term and short-term memory management
Can execute many commands such as Google Search, browse websites, write to files, and execute Python files and much more
GPT-4 instances for text generation
Access to popular websites and platforms
File storage and summarization with GPT-3.5
Extensibility with Plugins
"A lot like BabyAGI combined with LangChain tools"
Features added in release 0.4.0
- File reading
- Commands customization
- Enhanced testing

BabyAGI

A simple framework for managing tasks using AI

Description

A pared-down version of the original Task-Driven Autonomous Agent
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

BabyBeeAGI

A task management and functionality expansion on top of BabyAGI

Description

A more advanced version of the original BabyAGI code
- Improves upon the original framework, by introducing a more complex task management prompt, allowing for more comprehensive analysis and synthesis of information
Designed to handle multiple functions within one task management prompt
Built on top of the GPT-4 architecture, resulting in slower processing speeds and occasional errors
Provides a framework that can be further built upon and improved, paving the way for more sophisticated AI applications
One of the significant differences between BabyAGI and BabyBeeAGI is the complexity of the task management prompt

BabyCatAGI

BabyCatAGI is a mod of BabyBeeAGI, which is a mod of OG BabyAGI

Description

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

BabyDeerAGI

Newest mod of BabyAGI, at ~350 lines of code

Description

Features
- Parallel tasks (making it faster)
- 3.5-turbo only (GPT-4 not required)
- User input tool
- Query rewrite in web search tool
- Saves results

BabyCommandAGI

An AI agent designed to test what happens when you combine CLI and LLM, which are more traditional interfaces than GUI (created by @saten-private)

Description

An AI agent based on @yoheinakajima's BabyAGI which executes shell commands
Successfully installed a Flutter environment on Linux in a container, created the default Flutter app, and launched it. The procedure can be found here.
Aside from setting up the environment, it seems to be able to handle a bit of general tasks such as Generating text, like poems, code, scripts, musical pieces, email, and letters, translating languages
There is a risk of breaking the environment. Please run in a virtual environment such as Docker.
GPT-4 or higher is recommended

BambooAI

The BambooAI library is a user-friendly semi-autonomous AI agent designed to make data exploration and analysis more accessible to non-programmers.

Description

BambooAI runs in a loop (until user decides to end it).
Allows mixing of different models with different capabilities, token costs and context windows for different tasks.
Maintains the memory of previous conversations.
Builds the prompts dynamically utilising relevant context from Pinecone vector DB.
Offers a narrative or asks follow up questions if required.
For codified responses, the task is broken down into a list of steps and a pseudo-code algorithm is built.
Based on the algorithm, it devises the python code for dataset analysis, modeling or plotting.
Debugs the code which then executes, auto-corrects if needs to, and displays the output to user.
Ranks the final answers, and asks user for feedback.
Builds a vector DB knowledge-base, based on the rank and the user feedback.

Bloop

A GPT-4 powered semantic code search engine that uses an AI agent

Description

Powered by GPT-4 and semantic code search, precise code navigation
Built on stack graphs and scope queries
Fast code search and regex matching engine written in Rust
Allows to find Code on Rust and Typescript
Allows to stage changes
The agent searches both your local and remote repositories with natural language, regex and filtered queries
Bloop can be run via app (easy to download via GitHub)

Camel

An agent architecture for “Mind” Exploration of Large Scale Language Model Society

Description

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

Databerry

A super-easy no-code platform for creating AI chatbots trained on your own data

Description

One of the easiest and fastest no-code platform I have encountered
After creating new agent, picking a model, data and other settings, they are ready to be deployed to website, Slack, Crisp, or Zapier
Limit of agent in the free version
Stack
- Next.js
- Joy UI
- LangchainJS
- PostgreSQL
- Prisma
- Qdrant
Features
- Streamline customer support, onboard new team members, and more
- Load data from anywhere
- No-code: User-friendly interface to manage your datastores and chat with your data
- Secured API endpoint for querying your data
- Auto sync data sources (coming soon)
- Auto generates a ChatGPT Plugin for each datastore

Deepnote AI Copilot

An AI code copilot that instantly suggests code and works with the whole notebook context

Description

Deepnote's AI Copilot, with its efficient and contextual code suggestions, is paving the way for a future of AI-powered data exploration in notebooks
AI Copilot
Cut back on repetition and increase efficiency for data scientists
Code suggestions
Understanding the full scope of your notebook
The more text and code you write as context, the more relevant code suggestions you will see
"We are soon introducing conversational AI features that will aid in generating, editing, debugging, and understanding both code and SQL. Beyond this, we are working on more ambitious projects designed to harness the unique attributes of notebooks as a computational medium."

Friday

A developer assistant able to make whole nodejs project with unlimited prompts

Description

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.

Godmode

A project inspired by Auto-GPT and BabyAGI, conducting various kinds of tasks via nice UI

Description

A web platform inspired by AutoGPT and BabyAGI
What it can do:
- Order your coffee at Starbucks
- Perform market analysis
- Find and negotiate a lease
Supports GPT-3.5 & GPT-4

GPT Engineer

An AI agent that generates an entire codebase based on a prompt

Description

Model: GPT 4
Specify your project, and the AI agent asks 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

Loop GPT

A re-implementation of the popular Auto-GPT project as a proper python package, written with modularity and extensibility in mind

Description

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, allows using your own documents as an information source

Description

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

Mini AGI

A minimal general-purpose autonomous agent based on GPT-3.5 / GPT-4

Description

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
Capable of inner monologue and self-criticism

Multi GPT

An experimental open-source attempt to make GPT-4 fully autonomous

Description

An experimental multi-agent system
Multiple "expertGPTs" collaborate to perform a task
Each with their own short and long-term memory and the ability to communicate with each other
Features
- Set a task and watch the experts get to work.
- Internet access for searches and information gathering
- Long-Term and Short-Term memory management
- GPT-4 instances for text generation
- Access to popular websites and platforms
- File storage and summarization with GPT-3.5

OpenAGI

An open-source AGI R&D platform that enables agents for both benchmark tasks and open-ended tasks

Description

Powered by various language models such as GPT-4, Vicuna, LLaMA, and Flan-T5
Supports multi-modality tool learning and task solving such as text, image, video and audio
Supports task decomposition into both linear task-solving plans and non-linear task-solving plans
Allows both benchmark task solving and open-ended task solving
Provides easy-to-use evaluation protocols to evaluate task-solving ability
Provide Reinforcement Learning from Task Feedback (RLTF) to allow continuously self-improving agent

Pezzo

A development toolkit designed to streamline prompt design, version management, publishing, collaboration, troubleshooting, observability and more

Description

"Whether you are a technical person or a stakeholder, you can use Pezzo effectively. We don't believe that AI prompts should be designed in a developer's code editor. Aside from the technical issues with this approach, it blocks productivity."
Features
- Centralized Prompt Management: Manage all AI prompts in one place for maximum visibility and efficiency.
- Streamlined Prompt Design, Publishing & Versioning: Create, edit, test and publish prompts with ease.
- Observability: Access detailed prompt execution history, stats and metrics (duration, prompt cost, completion cost, etc.) for better insights.
- Troubleshooting: Effortlessly resolve issues with your prompts. Time travel to retroactively fine-tune failed prompts and commit the fix instantly.
- Cost Transparency: Gain comprehensive cost transparency across all prompts and AI models.
- Simplified Integration: Reduce code overhead by 90% by consuming your AI prompts using the Pezzo Client, regardless of the model provider.

Private GPT

A tool for private interaction with documents, without a need for internet connection

Description

Built with LangChain, GPT4All, LlamaCpp, Chroma and SentenceTransformers
A test project to validate the feasibility of a fully private solution for question answering using LLMs and Vector embeddings, not production ready

React Agent

An open-source React.js Autonomous LLM Agent

Description

An experimental autonomous agent
Model: GPT-4
Purpose: Gnerate and compose React components from user stories
Stack
- React
- TailwindCSS
- Typescript
- Radix UI
- Shandcn UI
- OpenAI API
The agent is taking a user story text and generating and composing multiple react components to generate the relevant screens, based on atomic design principles
Features
- Generate React Components from user stories
- Compose React Components from existing components
- Use a local design system to generate React Components
- Use React, TailwindCSS, Typescript, Radix UI, Shandcn UI
- Built with Atomic Design Principles
It is still experimental but very interesting results, It is completely open-sourced, looking for contributors!

Smol developer

🐣 Your own junior developer

Description

Human-centric, coherent whole program synthesis
Your own junior developer
Allows to develop, debug, and decompile
200 LOC, half english
100k context can summarize both content and codebases
Markdown is the best prompting DSL
Copy and paste your errors as prompts
Copy and paste curl output as prompts
Write CSS animation by describing what u want
GPT4 >>> GPT3.5/Anthropic Claude for codegen

Superagent

Not a single agent, but a tool that allows creating agents without coding

Description

Simplifies the configuration and deployment of LLM Agents to production
"One of the core principals of SuperAgent is to build with any third-party dependencies to proprietary tech"
It provides a range of features and functionalities to make it easier for developers to build, manage and deploy AI agents to production including features such as built in memory and document retrieval via vector dbs, powerful tools, webhooks, cron jobs etc.
There are two main types of agents: action agents and plan-and-execute agents

SuperAGI

An open-source autonomous AI framework to enable development and deployment autonomous agents

Description

An AI agent framework
Open source, but infrastructure is closed-source
Features
- Provision, Spawn & Deploy Autonomous AI Agents
- Extend Agent Capabilities with Tools
- Run Concurrent Agents Seamlessly
- Graphical User Interface
- Action Console
- Multiple Vector DBs
- Multi-Modal Agents
- Agent Trajectory Fine-Tuning
- Performance Telemetry
- Optimized Token Usage
- Agent Memory Storage
- Looping Detection Heuristics
- Concurrent Agents
- Resource Manager

Teenage AGI

A BabyAGI-inspired agent that can recall infinite memory, "thinks" before making action, and doesn't lose memory after being shutting down

Description

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
A process that 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

“Westworld” simulation

A multi-agent simulation library, with a goal to simulate and optimize systems and environments with multiple agents interacting

Description

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
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)

Voyager

A LLM-powered embodied lifelong learning agent in Minecraft

Description

A LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention
Voyager consists of three key components:
- 1. an automatic curriculum that maximizes exploration
- 1. an ever-growing skill library of executable code for storing and retrieving complex behaviors
- 1. a new iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement
Voyager interacts with GPT-4 via blackbox queries, which bypasses the need for model parameter fine-tuning

WorkGPT

A GPT agent framework for invoking APIs

Description

WorkGPT is an agent framework in a similar fashion to AutoGPT or LangChain. You give it a directive and an array of APIs and it will converse back and forth with the AI until its directive is complete.
For example, a directive could be to research the web for something, to crawl a website, or to order you an Uber. We support any and all APIs that can be represented with an OpenAPI file.
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

yAgents

yAgents is an Agent-Builder Agent made by Yeager.ai capable of designing, coding and debugging its own tools.

Description

Designed to help build, prototype, and deploy AI-powered tools and agents easily and efficiently.
Built on the LangChain framework, allowing users of any technical background to create, improve, and deploy AI agents.
Equipped with an interactive command line interface for real-time feedback and ease of navigation.
Features session persistent memory to ensure data preservation across multiple sessions
Quick and easy installation via pip.
Contributions to expand and improve yAgents are highly encouraged.
Warnings
- Requires GPT-4 API access.
- Not tested for Windows systems

Yourgoal

Swift implementation of BabyAGI

Description

"This is a Swift port of BabyAGI, an example of an AI-powered task management system that uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks. The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective."

🔒 Closed-source projects and companies

Airplane Autopilot

Airplane is a company for building internal tools, they're building their autopilot AI assistant.

Description

A developer-centric approach to building internal UIs and workflows
Turning APIs, SQL queries, and scripts into apps for the entire team
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

Aomni

An AI agent specifically designed for research

Description

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

BitBuilder

"Virtual intern for developers", generates code via PRs raised against your repository

Description

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 unambiguous code changes by changing multiple files, writing tests for generated code, and matching the style, framework, and libraries you're already using.

Butternut AI

A tool for creating a fully-functioning, ready-to-launch website in 20 seconds

Description

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

Description

Friendly UI for building AI agents

Diagram

AI-powered design tools for everything from copywriting to generating unique icons from text, recently acquired by Figma

Description

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

Working on autonomous coding Droids for building software end-to-end

Description

In aplha stage
It’s not supposed to be just another coding copilots like GitHub Copilot or Codeium, but autonomous agents capable of autonomously building software from end to end

Fine Tuner

Platform for no-code building of AI agents

With Fine-Tuner, you can build sophisticated, tailored AI agents at scale without any need for technical skills or coding. Just bring your data and ideas, and we'll provide the toolset you need to transform them into powerful AI solutions, capable of handling vast amounts of data and users. Take advantage of our scalable platform to meet your growing needs with ease and efficiency
Connecting Your Chatbot to Your App
FineTuner.ai is a no-code AI platform that enables users to create and deploy custom AI agents and components without any coding. With an intuitive UI/UX and rapid API deployment, FineTuner.ai simplifies AI development, allowing users to focus on their unique use cases and ideas.

4.1. Access the API tab for an overview of the required tokens and parameters to connect your chatbot to your app using REST API endpoints.

The Fine-Tuner REST API provides API endpoints for Fine-Tuner data types that allow to interact with your AI models remotely by sending and receiving JSON
Authentication to the Fine-Tuner API is performed via HTTP Bearer Authentication
Front end: Bubble

Fixie

A platform for creating LLM-powered apps like AI agents

Description

Building and managing LLM powered applications
A cloud-based platform-as-a-service that allows developers to build smart agents that couple LLMs with back-end logic to interface to data, systems, and tools

Floode

An AI executive assistant that automates communication busywork.

Description

Works across all your communication and work tools: emails, social media DMs, calendar, Notion, etc.
Adapted to your work habits.
Ask your assistant to:
- Craft messages
- Auto-sort
- Auto-schedule
- Summarize, extract tasks and information

GitWit

A tool automating code generation, in beta version, created for full-stack developers

Description

GitWit uses a GPT-based agent to generate code and git to track changes made to files
GitWit ties together large language models and modern developer tools
It can spawn and modify codebases using just a single prompt
GitWit is primarily aimed at full-stack developers, and is particularly loved by those with a learning mindset—such as those learning a new stack or technology
It is in early beta and may require some experimentation with the prompts you enter
You are offered to choose from code bases:
- React + NextJS
- Python using pip
- A Chrome extension written in JavaScript
- An AngularJS using npm.
- Custom stack

Grit

A beta version of a tool for fixing technical gap automatically, putting code migrations and dependency upgrades on autopilot

Description

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

Hex Magic

Hex AI-powered tools for humans doing amazing things with data

Description

"A suite of powerful AI features meant to augment data people"
Hex can explain and document your code
Hex Magic features know about database schemas, past operations, and the project’s execution graph, so they can make deeper, more insightful recommendations

You can see more – and sign up for the waitlist – over here.

Heymoon.ai

Personal assistant for life: to keep you on top of your calendar, tasks and information

Description

Personal assistant for life: to keep you on top of your calendar, tasks and information
Currently in a beta version

Lindy

An AI assistant that can help with daily tasks, e.g., calendar management, email drafting, and contract sending

Description

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

Minion AI

Made by creator of GitHub Copilot, so far in a waitlist stage

MultiOn

AI personal agent, holding the record for the first AI flight booking, food order (a burger) & workplace cert

Description

The agent runs and controls the local Google Chrome, which allows it to interact with the world/services/web apps, just like people interact with the world/services/web apps using Google Chrome
The agent itself probably also runs locally and currently, it needs the local Google Chrome to function
Our understanding from the demo video is that they use local code and a custom plugin in ChatGPT to control a web browser (e.g., Google Chrome). This setup enables MultiOn to perform tasks like ordering plane tickets as if a human were interacting with the browser directly
Use cases
- A lot of cool real use cases, e.g., -Sending an email fully autonomously -Posting a tweet -Sending a tweet reply to a specific person with a specific message -Sending a Facebook message to a friend -Searching for vacation rentals and check pricing for an upcoming trip -Searching for a wedding venue and starting the wedding planning process -Scheduling a car wash
After introducing the GPT function calling, MultiOn can call itself recursively to spawn more sub-agents
Instead of calling multiple functions or APIs you just need one Universal Function that can interact with all services and have it call itself to accomplish more complex tasks in parallel

Naut

Still in an early stage, with waitlist for early access

Description

"Build your team of AI agents that work for you. Early access now live. Join waitlist."

Proficient AI

Interaction APIs and SDKs that allow developers to build, deploy and operate conversational AI agents in their apps

Description

An end-to-end solution, with which it takes 3 minutes not weeks to get a user-facing agent up and running in your app (currently 3 SDKs including React)
Powerful tools built into the admin dashboard and Admin API including analytics, monitoring, rate-limiting, content moderation, etc.
minimizes or eliminates the need for custom backend infrastructure so you can focus on implementing the business logic
Technology-agnostic solution that supports multiple LLM providers (currently 7 models from OpenAI and Anthropic) allowing you to easily switch between models with 1 click
Ready-to-use, highly customizable and beautiful UI components rendering complex interaction trees with support for advanced features like streaming

Saga

A digital AI assistant, an AI-powered workspace integrating notes, tasks, and tools

Description

Generating content
Brainstorming ideas
Translation
Grammer check
Roadmap

Second

Automated migrations and upgrades for every codebase

Description

Migrate frameworks such as Angular to React, libraries such as Redux to React Context, or languages such as JavaScript to TypeScript
Perform major version upgrades on any number of applications, of any size
Upgrade frameworks such as Next.js 12 to 13, libraries such as MUI 4 to 5, or languages such as Python 2 to 3
Target users: enterprise codebases
Roadmap

Spell

AutoGPT agents with plugins

Description

"Delegate your tasks to autonomous AI agents. Transform your daily work with revolutionary and intuitive AI tools powered by GPT4"
Access APIs like Zapier, Wolfram, etc.
Open links
Manipulate files
Search web

Sweep

A Github assistant the helps fix small bugs and implement small features

Description

To install, click the install button
Then add the repository you want, make a quick ticket (e.g. writing tests)
Prepend the ticket with "Sweep:" and let Sweep handle the rest

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🔮 Awesome AI Agents

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👐 Open-source projects

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🔒 Closed-source projects and companies

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