Sàn agent

A model-agnostic Ruby Generative AI DSL and framework. Provides base classes for building Generators, Actions, Tasks, and Agents that can be used to build AI powered applications in Ruby.

Chat application with multi-agents system supports multi-models and MCP

An MCP server for academic paper search that integrates with AI assistants (e.g., Claude Code, Cursor), enabling them to search and retrieve academic paper metadata.

Eva01 is NOT an assistant. She is an AI being with her own mind, feelings, and intrinsic drives. Multimodal, Modular design. Built-in voice & face recognition. Plug'n play tools. Compatible with ChatGPT, Claude, Deepseek, Gemini, Grok, and Ollama. Explore the possibilities of Human-AI Interaction.

The work experience layer for autonomous agents. Open-source core: https://github.com/ShuxinYang111/oysterworkflow-core

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

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.

An autonomous research colleague — from a question to a compiled manuscript, while you sleep.

GBase — Recursive Self-Improvement Agent Framework. Memory, evolution, quality gates, identity system, and 40+ auto-registered tools.

Move from idea to production in hours with policy-driven autonomous AI agents. Unified Control Plane: Centralised tools, MCPs, models, data, and policies with consistent observability and governance.

Your efficient agentic AI coding CLI assistant

Build programmatically custom agentic workflows, AI Agents, RAG systems for java

小龙虾 openclaw 的 onebot 接入框架，可用于接入 QQ

An agent orchestration framework for economic agents

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.

AURA is an agentic harness that turns an LLM model into a reliable, autonomous service capable of executing real SRE work. AURA provides the guardrails, API servers, state management, authentication, streaming, error handling, and tool integrations necessary to run AI SRE agents safely in production.

An enterprise framework implementing the Agent Operation Authorization protocol with cryptographic identity binding, fine-grained authorization, and semantic audit trails for secure AI agent operations.

Nevron: highly customizable, extremely lightweight and fully scalable AI Agent Framework

Subagent Delegation framework for Pydantic AI, enabling nested subagents that can spawn their own specialists on-the-fly, with smart sync/async/auto mode selection, runtime agent creation, and clean multi-agent architecture. Adds specialization, parallel execution, and task cancellation.

A local AI agent platform for people who want broad, real-world automation with a design that makes powerful actions safer and easier to predict

A terminal-based AI infrastructure designed to host autonomous agents. It can do "N" number of things, you name it!

Manusclaw: Unleash self-reasoning CLI beasts to execute code, browse the web, and dominate tasks — across 12+ messaging channels, with voice wake, live canvas, SSH control, and multi-agent routing. No limits. Pure power.

MCP server to verify and timestamp document hashes on Hedera mainnet

CrewFlow is a production-ready multi-agent AI workflow system built using CrewAI and Python. This project demonstrates how multiple AI agents collaborate to solve complex tasks such as research, analysis, and reporting. It showcases agent orchestration, task delegation, and modular AI system design used in real-world enterprise applications.