🐙TakoAPI

Marketplace degli agenti

Un'unica API per accedere a tutti gli agenti. Scopri e invoca agenti IA tramite un'unica API unificata — descritti da AgentCard A2A aperte.

sagents

progetto

Build interactive AI agents in Elixir with OTP supervision, middleware composition, human-in-the-loop approvals, sub-agent delegation, and real-time Phoenix LiveView integration. Built on LangChain.

🧰Framework per agenti
sagents-ai/sagentsself-host227

CodeAlta

progetto

Your efficient agentic AI coding CLI assistant

💻Coding e sviluppo🧰Framework per agenti
CodeAlta/CodeAltaself-host227

agent-graph

progetto

Agent Graph is a Multi-Agent System built on the principles of Context Engineering

🧰Framework per agenti
keta1930/agent-graphself-host226

palimpzest

progetto

A System for Optimized Semantic Computation

mitdbg/palimpzestself-host226

llm-rl-environments-lil-course

progetto

🌱 A little course on Reinforcement Learning Environments for evaluating and training Language Models

🧰Framework per agenti
anakin87/llm-rl-environments-lil-courseself-host224

open-managed-agents

progetto

Open-source Claude Managed Agents API implementation and self-hosted Claude Tag-style agent runtime. Drop-in compatible; runs on Cloudflare Workers/Durable Objects or Node.js. Apache 2.0.

🧰Framework per agenti☁️DevOps e automazione
openma-ai/open-managed-agentsself-host224

SimplerLLM

progetto

Python library for building with LLMs. One interface across 11 providers (OpenAI, Anthropic, Gemini, DeepSeek, Ollama and more), automatic failover, Pydantic-validated structured output, embeddings with vector search, and an AI-powered router. pip install simplerllm

🧰Framework per agenti
hassancs91/SimplerLLMself-host223

awesome-agent-evolution

progetto

A curated list of AI Agent evolution, memory systems, multi-agent architectures, and self-improvement projects. | evomap.ai

🧰Framework per agenti
EvoMap/awesome-agent-evolutionself-host223

Awesome-LLM-Papers-Comprehensive-Topics

progetto

Awesome LLM Papers and repos on very comprehensive topics.

🔍Ricerca e search
shure-dev/Awesome-LLM-Papers-Comprehensive-Topicsself-host223

Claude-code

progetto

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster through natural language commands. Rebuilt from leaked source.

💻Coding e sviluppo🧰Framework per agenti
fazxes/Claude-codeself-host221

bagidea-office

progetto

A living AI-agent office on your desktop wallpaper — Claude Code agents that walk, work, delegate, learn & hold meetings. Per-agent swappable models (Claude/GLM/DeepSeek/Qwen/Kimi/OpenAI/Gemini/Groq/Ollama…), workflows, plugins, voice & Telegram/Discord/LINE. Open source.

🧰Framework per agenti💻Coding e sviluppo
bagidea/bagidea-officeself-host221

grove

progetto

Kubernetes enhancements for Network Topology Aware Gang Scheduling & Autoscaling

☁️DevOps e automazione🗂️Produttività e assistente
ai-dynamo/groveself-host221

agent

progetto

Taisly Agent Kit: MCP server, CLI, SDK, and agent docs for publishing videos to TikTok, Reels, Shorts, X, and Facebook.

🧰Framework per agenti💻Coding e sviluppo
taisly/agentself-host219

myPKA

progetto

AI-powered Personal Knowledge Assistance in a folder. Built on the ICOR methodology. Plain markdown. Any LLM. Yours forever.

myICOR/myPKAself-host218

ai-coding-project-boilerplate

progetto

Agentic coding TypeScript boilerplate for Claude Code — sub-agent workflows with built-in quality checks and context engineering.

💻Coding e sviluppo🧰Framework per agenti
shinpr/ai-coding-project-boilerplateself-host218

pocketgroq

progetto

PocketGroq is a powerful Python library that simplifies integration with the Groq API, offering advanced features for natural language processing, web scraping, and autonomous agent capabilities. Key Features Seamless integration with Groq API for text generation and completion Chain of Thought (CoT) reasoning for complex problem-solving and more.

🔍Ricerca e search🧰Framework per agenti
jgravelle/pocketgroqself-host218

learn-hermes-agent

progetto

A 27-chapter hands-on tutorial for building an autonomous AI agent from zero in Python. Agent loop, tool system, memory, skills, MCP, multi-platform gateway, and self-evolution — inspired by Hermes Agent.

🧰Framework per agenti💬Assistenza clienti
longyunfeigu/learn-hermes-agentself-host216

deeptrans-studio

progetto

DeepTrans Studio is a multi-agent intelligent translation platform for professional localization teams. It unifies a translation IDE, terminology and translation memory, AI‑assisted quality evaluation, and workflow automation, delivering end‑to‑end project management from document parsing and segment editing to collaboration and final delivery.

🧰Framework per agenti✍️Scrittura e contenuti
hint-lab/deeptrans-studioself-host216

AI-Blueprints

progetto

📁 This repository hosts a growing collection of AI blueprint projects that run end-to-end using Jupyter notebooks, MLflow deployments, and Streamlit web apps.🛠️ All projects are built using HP AI Studio with ❤️ If you find this useful, please don’t forget to star the repository ⭐ and support our work 🚀

📊Dati e analytics
HPInc/AI-Blueprintsself-host215

EdgeBox

progetto

A fully-featured, GUI-powered local LLM Agent sandbox with complete MCP protocol support. Features both CLI and full desktop environment, enabling AI agents to operate browsers, terminal, and other desktop applications just like humans. Based on E2B oss code.

🧰Framework per agenti
BIGPPWONG/EdgeBoxself-host214

mc_aiplayer

progetto

Autonomous AI agent that plays Minecraft on its own — a server-side Fabric mod (MC 1.21.3) where a DeepSeek / OpenAI-compatible LLM drives a real player to mine, build, farm, fight and survive from natural-language commands. LLM plans, deterministic tasks execute — no Python harness, no bot account.

🧩Backend
zoyluoblue/mc_aiplayerself-host213

DyLAN

progetto

Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

🧰Framework per agenti
SALT-NLP/DyLANself-host212

gym-multigrid

progetto

Lightweight multi-agent gridworld Gym environment

🧰Framework per agenti
ArnaudFickinger/gym-multigridself-host212

dsh-memory

progetto

白箱AGI架构探索:元认知(自我认知循环)、持续学习(知识飞轮)、世界模型(条件空间+语义时空图)、自我改进(自举纪律)、零LLM白箱管线与可审计信任护栏。

🧰Framework per agenti🔍Ricerca e search
FuRongJun-1999/dsh-memoryself-host212
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