智能体市场

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

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.

🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).

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.

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.

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.

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

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.