ZHangZHengEric/Sage
Multi-Agent System Framework For Complex Tasks observed · 2026-09-03
Health v2 · maintenance only
82/100
- Activity 100
- Release rhythm 86
- Longevity 33
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 1.0
- age_days: 465
- days_rel: 99
- days_push: 0
- n_releases_24m: 41
Adoption not part of the score
1213 stars · 101 forks observed · 2026-09-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Sage is a Python-based multi-agent framework and platform for planning, executing, and delivering complex tasks with LLM-powered agents. It provides a visual workbench, browser automation, MCP tool integration, sandboxed execution, and omnichannel messaging delivery across desktop, web, CLI, and Chrome extension surfaces.
Use cases
- orchestrate multiple llm agents to complete complex tasks
- automate browser workflows with ai agents
- run scheduled recurring agent jobs
- deliver agent results to wechat, feishu, or dingtalk
- build a self-hosted manus-like agent platform
- execute agent code in a sandboxed environment
- inspect agent tool outputs and files in a visual workbench
When to choose
- you need a production-ready multi-agent platform with planning, execution, and self-check loops
- you want integrated browser automation, MCP tools, and IM delivery in one stack
- you need sandboxed agent execution with enterprise auth and deployment options
When to avoid
- you only need a lightweight single-agent library with minimal dependencies
- you want a framework with a large established ecosystem and long-term track record
- you need non-Python-first agent orchestration
Facets
framework · maturity active
agent-framework workflow-automation chatbot mcp web-scraping scheduling chat-interface large-language-models developer-tools python cross-platform cli browser-extension self-hosted multi-agent llm-agents browser-automation im-integration sandboxed-execution task-automation manus-style visual-workbench ai-agents automation desktop web-server docker
2 sources
- readme: https://github.com/ZHangZHengEric/Sage · fetched 2026-09-03 · 77a6e152f200
- homepage: https://zhangzhengeric.github.io/Sage/ · fetched 2026-08-29 · f20697464692
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ZHangZHengEric/Sage | main | 82 |
For agents
markdown · JSON · MCP: product_card(name="ZHangZHengEric/Sage")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem