Agently 4 🚀

Build production‑grade AI apps faster, with stable outputs and maintainable workflows.

English Introduction | 中文介绍

](https://github.com/AgentEra/Agently/blob/main/LICENSE) [ ](https://pypistats.org/packages/agently) [ [](https://x.com/AgentlyTech)

🔥 Latest Docs | 🚀 5‑minute Quickstart | 💡 Core Features

Official Skills

Official installable Agently skills are now published at:

• GitHub: https://github.com/AgentEra/Agently-Skills
• Install: npx skills add AgentEra/Agently-Skills

What you get after installing:

• Better implementation routing for real Agently work, from single-request design to TriggerFlow, multi-agent, MCP, tools, session, and FastAPI integration
• Ready-to-use skill guidance for common production tasks instead of re-explaining framework concepts in every coding session
• Migration playbooks for LangChain and LangGraph, so existing agent systems can be translated into Agently faster
• A higher-quality coding-agent experience, because the skills package gives the agent concrete Agently patterns, boundaries, and recommended implementation paths

📚 Quick Links

• Docs (EN): https://agently.tech/docs
• Docs (中文): https://agently.cn/docs
• Agent Systems Playbook (EN): https://agently.tech/docs/en/agent-systems/overview.html
• Agent Systems Playbook (中文): https://agently.cn/docs/agent-systems/overview.html
• Official Agently Skills: https://github.com/AgentEra/Agently-Skills
• Install Agently Skills: npx skills add AgentEra/Agently-Skills

Optional Companion Package: Agently Devtools

agently-devtools is a separate companion package for runtime observation and developer tooling.

• Install: pip install agently-devtools
• Dependency direction: agently-devtools -> agently
• Compatibility line: agently-devtools 0.1.x targets `agently >=4.0.9, resize)

session = agent.activated_session assert session is not None

def analysis_handler(full_context, context_window, memo, session_settings): if len(context_window) > 6: return "keep_last_six" return None

def keep_last_six(full_context, context_window, memo, session_settings): return None, list(context_window[-6:]), memo

session.register_analysis_handler(analysis_handler) session.register_resize_handler("keep_last_six", keep_last_six)

### 5) 🔧 Tool Calls + Logs
Tool selection and usage are logged in `extra.tool_logs`.

@agent.tool_func def add(a: int, b: int) -> int: return a + b

response = agent.input("12+34=?").use_tool(add).get_response() full = response.get_data(type="all") print(full["extra"]["tool_logs"])

### 6) 🌐 Unified Model Settings (OpenAICompatible)
One config for multiple providers and local models.