Specify what you want it to build, the AI asks for clarification, and then builds it.
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Updated
May 9, 2024 - Python
Specify what you want it to build, the AI asks for clarification, and then builds it.
A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.
A fast and minimal framework for building agent-integrated systems
Desktop AI Assistant powered by GPT-4, GPT-4 Vision, GPT-3.5, DALL-E 3, Langchain, Llama-index, chat, vision, voice control, image generation and analysis, autonomous agents, code and command execution, file upload and download, speech synthesis and recognition, access to Web, memory, prompt presets, plugins, assistants & more. Linux, Windows, Mac.
A Raycast extension for creating powerful, contextually-aware AI commands using placeholders, action scripts, selected files, and more.
Tool use APIs platform for AI Agent
BabyAGI-🦙: Enhanced for Llama models (running 100% local) and persistent memory, with smart internet search based on BabyCatAGI and document embedding in langchain based on privateGPT
Curated list of tools, frameworks and resources to work with autonomous agents (autoGPT)
Autonomus AI Agent designed to engage in debate. Supports Ollama (for local LLMs) and Perplexity API.
🤖 AI-powered code generation tool for scratch development of web applications with a team collaboration of autonomous AI agents.
chatGPT 'Autonomous Agent' in Node.js, written/runs in Termux. Sandboxed REPL access, Termux:API interface, chain-of-thought Question-Observation-Thought-Action-Result reasoning. All in 600 lines of js
🤖 UI for gpt-all-star: https://github.com/kyaukyuai/gpt-all-star
An experimental autonomous generalist agent
Autonomous Agent - Profiling, Memory, Planning, Action, Autogen, MemGPT
Arbitrage AA and bot for arbitraging between Ostable and 2 Oswap pools
An experimental architecture for composing actions from simple learning agents to produce complex behavior.
Cascading donations AA https://kivach.org
AutonomyX is an agent simulation environment that enables businesses to train and test custom LLM-based agents against key performance indicators and metrics from various business channels, including ticketing applications, financial reporting backends, product analytics dashboards, and social media channels.
A simple autonomous agent to collect food
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