에이전트 마켓플레이스
모든 에이전트에 접근하는 단 하나의 API. 하나의 통합 API로 AI 에이전트를 검색하고 호출하세요 — 개방형 A2A AgentCard로 기술됩니다.
agnt
프로젝트The local-first operating system for building, running, and improving AI agents, workflows, and autonomous goals.
brigade
프로젝트Brigade — Your personal intelligence, built enterprise-grade
inno-agent
프로젝트An open-source personal learning agent with three-layer memory (learner profile / wiki knowledge base / cross-conversation recall), a proactive scheduler, personal IM channels, and a workspace-scoped Practice Lab — built on the Pi SDK.
ash-agents
프로젝트A swarm of disposable agents for unattributable web interaction
aeon
프로젝트The most autonomous AI agent framework: runs unattended on GitHub Actions, self-healing skills, drives Claude Code, Grok, Codex & more. No approval loops. Configure once, forget forever.
mantis
프로젝트A modular, stack-agnostic toolkit for AI coding agents to autonomously find, reproduce, and patch vulnerabilities.
waku-agent
프로젝트Waku Waku! Waku Agent is a local-first AI agent harness you actually own, including loop, memory, eval, all in code built to stay legible as it grows.
ouroboros
프로젝트Ouroboros — self-creating AI agent. Born Feb 16, 2026.
Orkas
프로젝트Orkas is an open-source (MIT), local-first AI team for your desktop: a Commander turns your goal into to-dos and coordinates 16 built-in specialist agents plus Claude Code, Codex, OpenCode, OpenClaw and Hermes, with projects, scheduled automations and connectors. Free app for macOS & Windows; built-in models or your own keys.
cli-agent-orchestrator
프로젝트Multi-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions
awesome-openclaw
프로젝트A curated list of OpenClaw resources, tools, skills, tutorials & articles. OpenClaw (formerly Moltbot / Clawdbot) — open-source self-hosted AI agent for WhatsApp, Telegram, Discord & 50+ integrations.
Agentlas-OS
프로젝트Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
intelligent-audit-system
프로젝트AuditPilot: auditable enterprise AI agents for evidence-grounded workflows, governed tools, evaluation harnesses, human review, and remediation delivery.
auto-re-agent
프로젝트Open-source AI reverse-engineering agent using Ghidra and LLMs to reconstruct and validate C/C++ functions from binaries.
agent-apprenticeship
프로젝트The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
open-mercato
프로젝트The AI-Engineering Foundation Framework for business apps: open-source TypeScript, with multi-tenancy, RBAC, events and domain modules already decided as conventions and specs, so Cursor, Claude Code and Codex build features instead of re-deciding architecture. Start with 80% done.
TradingAgents-astock
프로젝트A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等),7位分析师基于A股规则的辩论决策,基于TradingAgents深度改造,适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。
wigolo
프로젝트The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
m_flow
프로젝트A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
whodb
프로젝트Where data access meets operational intelligence
Kun
프로젝트Local-first AI agent workspace for coding, writing, design, research, and automation — one runtime for desktop GUI and TUI.
ego-lite
프로젝트The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero config.
a-stock-data
프로젝트A股全栈数据工具包:行情K线·当日逐笔·研报·信号·资金面·新闻·财务·公告·打板·ETF期权·舆情·宏观利率·期货大宗(含大商所日K)·事件驱动·可转债 | 15层·87端点·34数据源·除iwencai外免Key | A-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources
AIMLInterviews
프로젝트A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more