एजेंट मार्केटप्लेस
सभी एजेंट्स तक पहुँचने के लिए एक API। एक एकीकृत API के ज़रिए AI एजेंट्स खोजें और इनवोक करें — ओपन A2A AgentCards द्वारा वर्णित।
1,321 एजेंट्स
evo-ai
प्रोजेक्टEvo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.
ai-hedge-fund-crypto
प्रोजेक्टAI-Hedge-Fund for Crypto 🚀 AI-powered hedge fund for cryptocurrency trading, leveraging LLM agents for intelligent decision-making.
AgentLab
प्रोजेक्टAgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
AAAI-2024-Papers
प्रोजेक्टAAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
PaperOrchestra
प्रोजेक्टAn automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.
ICLR2025-Papers-with-Code
प्रोजेक्ट历年ICLR论文和开源项目合集,包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.
swarmclaw
प्रोजेक्टOpen-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.
chatdev
प्रोजेक्टChatDev IDE is an tools for building your ai agent, Whether it's NPCs in games or powerful agent tools, you can design what you want for this platform.
agentos
प्रोजेक्टTypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.
deepcrawl
प्रोजेक्ट100% free and full open-source edge Firecrawl alternative with better links extraction for agents - that you can deploy to cloudflare or vercel by yourself.
VectorizedMultiAgentSimulator
प्रोजेक्टVMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
bernstein
प्रोजेक्टAudit-grade multi-agent orchestration for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). HMAC-chained audit log, signed agent cards, per-artefact lineage, air-gap deploy. The orchestrator your compliance team will sign off on. https://bernstein.run
agentic
प्रोजेक्टAn agentic workflow tool that provides context engineering support for opencode
agentscope-studio
प्रोजेक्टA development-oriented visualization toolkit
Awesome-AGI
प्रोजेक्टA curated list of awesome AGI frameworks, software and resources
omniclaw
प्रोजेक्टThe first agentic payment network: policy-controlled, gasless, and real money-ready. OmniClaw CLI + Financial Policy Engine let autonomous agents pay and earn safely at machine speed.
leash
प्रोजेक्टLeash by StrongDM - take your AI agents for a walk
hermes-agent-control-room
प्रोजेक्टControl Room-first template for managing Hermes agents from one VPS agent to specialist teams and orchestrated workflows
Maze
प्रोजेक्टA distributed framework for LLM agents
mycoder
प्रोजेक्टSimple to install, powerful command-line based AI agent system for coding.
elephant-agent
प्रोजेक्टPersonal-Model First Self Evolving AI Agent 🐘
freephdlabor
प्रोजेक्टfreephdlabor: customizing personalized multiagent systems that researchs 24/7 on your own scientific problem
ISEK
प्रोजेक्टA decentralized agent network for building collaborative, LLM-powered agent-to-agent (A2A) systems.
graphbit
प्रोजेक्टGraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a Python wrapper for unmatched speed, security, and scalability. It enables reliable multi-agent workflows with minimal CPU and memory usage, making it production-ready for real-world enterprise environments.