Google PageRank for AI agents. 25,000+ tools indexed.

Sage MCP Server

ZHangZHengEric/Sage

Score: 77.8 Rank #2479 Agent Framework
[![AgentRank](https://agentrank-ai.com/api/v1/badge/ZHangZHengEric--Sage)](https://agentrank-ai.com/tool/ZHangZHengEric--Sage/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of ZHangZHengEric/Sage? Claim this listing →

An extensible framework for custom, self-evolving AI agents, with configurable agent packages, tools, skills, and multi-round recursive self-improvement (RSI).

Add AgentRank to Claude Code Discover and compare tools like ZHangZHengEric/Sage — your AI finds the right one automatically
Get API Access →
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

Python MIT 13 pypi/wk
agentsllmmanusaiworkflowfluttermcpmulti-agentpython

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,211

1,211 stars → well-known project

Freshness 25% 7d ago

Last commit 7d ago → actively maintained

Issue Health 25% 60%

9/15 issues closed → decent issue management

Contributors 10% 34

34 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 13/wk

13 weekly installs → early adoption

Forks 110
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for ZHangZHengEric/Sage
[![AgentRank](https://agentrank-ai.com/api/v1/badge/ZHangZHengEric--Sage)](https://agentrank-ai.com/tool/ZHangZHengEric--Sage/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/ZHangZHengEric--Sage/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/ZHangZHengEric--Sage" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="ZHangZHengEric/Sage"></script>

Matched Queries

topic:mcp

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://m
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.