AIエージェント
TradingAgents-astock
A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 deb…
★ 3.6k スターApache-2.0
ガイドを見る →career-opsは、career-ops-hqが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: career-ops-hq/career-ops）。GitHubスターは73,398、フォークは13,797で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月3日です。
Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover…
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Scriptable from the terminal, so it drops straight into existing workflows.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Download the source and move into the project folder.
git clone https://github.com/career-ops-hq/career-ops.git
cd career-opsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at career-ops-hq/career-ops with 13,797 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
A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 deb…
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
Make humans and AI agents work as one team — open-source and self-hostable.
NVIDIA's security scanner for AI agent skills - check before you install
Scan your LLM for vulnerabilities before attackers do.
Exa's MCP server for web search and crawling — give your AI agent a live, high-quality web index.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — career-opsが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でcareer-opsとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Agent harness for multi-agent swarms: deploy, coordinate and federate autonomous workflows
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The…
A coding agent tuned for open models like Kimi, GLM, DeepSeek, and Qwen.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
Convert PDFs, DOCX, and HTML into clean, AI-ready documents.