Sage MCP Server
ZHangZHengEric/Sage
[](https://agentrank-ai.com/tool/ZHangZHengEric--Sage/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) An extensible framework for custom, self-evolving AI agents, with configurable agent packages, tools, skills, and multi-round recursive self-improvement (RSI).
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
ZHangZHengEric/Sage is a Python tool licensed under MIT. An extensible framework for custom, self-evolving AI agents, with configurable agent packages, tools, skills, and multi-round recursive self-improvement (RSI). Topics: agents, llm, manus, ai, workflow, flutter, mcp, multi-agent, python.
Ranked #2479 out of 24846 indexed tools.
In the top 10% of all indexed tools.
Has 1,211 GitHub stars.
Has 34 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1,211 stars → well-known project
Last commit 7d ago → actively maintained
9/15 issues closed → decent issue management
34 contributors → active community
No dependents → no downstream usage
13 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<div align="center"> # 🌟 **Experience Sage's Power** # 🧠 **Sage Agent Platform** ### 🎯 **From Complex Work to Reliable Delivery** > 🌟 **An open-source agent platform for project work, tool execution, and multi-agent collaboration — on your desktop, on the web, or in your own application.** </div> --- ## ✨ **Why Sage** - 🧩 **Plugin-based architecture** — Compose model, memory, storage, tool, and scheduling providers with explicit contracts and managed lifecycles. - 📦 **Declarative Agent packages** — Define instructions, capabilities, and runtime configuration in `sage.yaml`; manage immutable versions in Server Studio. - 🔄 **Stateful, interactive execution** — Durable Session history, streamed events, and pause/resume with human input and approvals. - 🤝 **Multi-agent orchestration** — Coordinate Studio members through directed messages, or compose Agent Flows in the runtime. - 🔌 **An extensible tool ecosystem** — Bring built-in tools, reusable Skills, and [MCP](https://mRead full README on GitHub →
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