AI Agent topic
An AI agent is a software system that autonomously perceives its environment, makes decisions, and takes actions to achieve goals — typically powered by large language models (LLMs). Unlike simple chatbots, AI agents can use tools, access external data, execute code, browse the web, and manage multi-step workflows without continuous human guidance.
AI agents range from coding assistants that edit files and run tests (Claude Code, Gemini CLI, Cursor) to browser automation systems (browser-use), computer-use agents (CUA), workflow builders (Activepieces), and multi-agent teams (CrewAI, deer-flow). The ecosystem includes memory layers (mem0), frontend toolkits (CopilotKit), sandboxed execution environments (E2B, Daytona), and full productivity platforms (Cherry Studio, LobeHub).
FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on a...
vulcan-sql
Data API Framework for AI Agents and Data Apps
agentcraft
AI Agent Simulation generates Minecraft Settlements
E2B
Secure open source cloud runtime for AI apps & AI agents
skyagi
SkyAGI: Emerging human-behavior simulation capability in LLM
connery-sdk
The open-source SDK for creating AI plugins and actions
agent-protocol
Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.
glowby
Glowby Basic helps you create your own voice-based AI assistants with autonomous mode.
bedrock-agents-streamlit
Creating Amazon Bedrock agents with Streamlit Framework
Cradle
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation,...