🐙TakoAPI

Marketplace de agentes

Una API para acceder a todos los agentes. Descubre e invoca agentes de IA a través de una API unificada — descritos mediante AgentCards abiertas de A2A.

flowcraft

proyecto

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

🧰Frameworks de agentes🔍Investigación y búsqueda
GizClaw/flowcraftautoalojar416

azure-openai-llm-notes

proyecto

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

🔍Investigación y búsqueda🧰Frameworks de agentes
kimtth/azure-openai-llm-notesautoalojar410

simplepdf-embed

proyecto

PDF editor in the browser – add text, checkboxes, pictures, signatures to PDF files. Merge, rotate PDF pages – iframe, script and React component

🎨Frontend🧰Frameworks de agentes
SimplePDF/simplepdf-embedautoalojar409

peerd

proyecto

The first AI agent harness native to the browser. A browser extension that runs a full agent loop where you already work: it drives your tabs, spins up sandboxed compute (JS notebooks, WASM Linux VMs, client-side apps), and shares what it builds peer-to-peer. BYOK, no backend, no telemetry.

🧰Frameworks de agentes🧩Backend
NotASithLord/peerdautoalojar408

azure-openai-llm-wiki

proyecto

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

🔍Investigación y búsqueda🧰Frameworks de agentes
kimtth/azure-openai-llm-wikiautoalojar405

awesome-azure-openai-llm

proyecto

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

🔍Investigación y búsqueda🧰Frameworks de agentes
kimtth/awesome-azure-openai-llmautoalojar402

opencow

proyecto

One task, one agent, delivered. The open-source platform for task-driven autonomous AI agents.OpenCow assigns an autonomous AI agent to every task — features, campaigns, reports, audits — and delivers them in parallel. Full context. Full control. Every department. 🐄

🔍Investigación y búsqueda
OpenCowAI/opencowautoalojar396

mini-AlphaStar

proyecto

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

🧰Frameworks de agentes🔍Investigación y búsqueda
liuruoze/mini-AlphaStarautoalojar371

aura

proyecto

AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

☁️DevOps y automatización🧰Frameworks de agentes
mezmo/auraautoalojar371

Agents_Failure_Attribution

proyecto

Benchmark for automated failure attributions in agentic systems (🏆 ICML 2025 Spotlight)

🧰Frameworks de agentes🔍Investigación y búsqueda
ag2ai/Agents_Failure_Attributionautoalojar367

EDDI

proyecto

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

🧰Frameworks de agentes🔍Investigación y búsqueda
labsai/EDDIautoalojar357

llm-leaderboard

proyecto

A comprehensive set of LLM benchmark scores and provider prices. (deprecated, read more in README)

🔍Investigación y búsqueda
JonathanChavezTamales/llm-leaderboardautoalojar356

Awesome-Agent-Harness

proyecto

Agent Harness for Large Language Model Agents: A Survey. Survey on LLM agentharnessengineering with a taxonomy. 110+papers, 23 systems analyzed.

🧰Frameworks de agentes🔍Investigación y búsqueda
Gloriaameng/Awesome-Agent-Harnessautoalojar353

agentica

proyecto

One person, a team of agents. Multi-session CLI that collaborates across terminals; /goal keeps long tasks running; WeChat/WeCom/Feishu gateway lets you call them back when you walk away. Async Python SDK, persistent memory, self-evolving skills.

🧰Frameworks de agentes🔍Investigación y búsqueda
shibing624/agenticaautoalojar352

syftr

proyecto

syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

🧰Frameworks de agentes🔍Investigación y búsqueda
datarobot/syftrautoalojar345

hive

proyecto

Browser-native hive-mind for CLI coding agents — Claude Code, Codex, Gemini, and OpenCode collaborate as real PTY processes via a team protocol.

💻Programación y desarrollo🔍Investigación y búsqueda
tt-a1i/hiveautoalojar345

palico-ai

proyecto

Build, Improve Performance, and Productionize your AI Application

🧰Frameworks de agentes☁️DevOps y automatización
palico-ai/palico-aiautoalojar343

agent-craft

proyecto

AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体

🧰Frameworks de agentes🔍Investigación y búsqueda
Annyfee/agent-craftautoalojar343

awesome-adk-agents

proyecto

Curated collection of AI agents built with Google’s Agent Development Kit (ADK): templates, best practices, and production-ready examples for research, business, automation, education, and more.

🧰Frameworks de agentes🔍Investigación y búsqueda
Sri-Krishna-V/awesome-adk-agentsautoalojar333

SurveyForge

proyecto

(ACL-2025 main conference) SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing

🧰Frameworks de agentes🔍Investigación y búsqueda
InternScience/SurveyForgeautoalojar332

agentic-ai-engineering

proyecto

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

🧰Frameworks de agentes🔍Investigación y búsqueda
agenticloops-ai/agentic-ai-engineeringautoalojar328

Awesome-LLM-Reasoning-with-NeSy

proyecto

✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models

🔍Investigación y búsqueda
LAMDA-NeSy/Awesome-LLM-Reasoning-with-NeSyautoalojar328

Deep-Research-Survey

proyecto

A Systematic Survey of Deep Research

🔍Investigación y búsqueda
mangopy/Deep-Research-Surveyautoalojar322

agent-systems-handbook

proyecto

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.

🧰Frameworks de agentes🔍Investigación y búsqueda
Prompthon-IO/agent-systems-handbookautoalojar316