About Sage
Sage is an MCP server in the Agents category: sage — A multi-agent research assistant built with Claude + MCP. Demonstrates custom MCP server authorship, agent orchestration, and tool-use patterns using the Anthropic Python SDK.
The repository has 12 stars and 0 forks.
Install
claude mcp add sage -- npx -y @alemdarlabs/sage-mcpnpx -y @alemdarlabs/sage-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Sage
Powered by Claude · Grounded in docs
Security checks
- ✓README presentThe repository ships documentation.
5 checks have not been run yet.
README
🌟 Experience Sage's Power

🧠 Sage Agent Platform
🎯 From Complex Work to Reliable Delivery
🌟 A production-ready agent platform for task execution, automation, browser workflows, IM delivery, and enterprise deployment.
📸 Product Screenshots
📖 Detailed Documentation: https://wiki.sage.zavixai.com/
✨ Key Features
- 🤖 Planning to Delivery: Built-in planning, execution, self-check, memory recall, and tool suggestion agents for complex task completion.
- 🌐 Multi-Entry Product Surface: Use Sage from desktop, web, CLI, and Chrome extension depending on the workflow.
- 🔁 Automation & Recurring Tasks: Run scheduled jobs, questionnaire-driven collection flows, and long-running operational tasks with progress visibility.
- 💬 Omnichannel IM Integration: Connect WeChat Personal (iLink), WeCom, Feishu, and DingTalk with message and file delivery support.
- 🧰 Unified Tooling System: Combine built-in tools, Skills, MCP servers, browser automation, search, and image generation in one execution stack.
- 🛡️ Sandboxed Execution: Local, passthrough, and remote sandbox options for safer agent runtime isolation.
- 🛠️ Visual Workbench: Inspect files, tool outputs, code, charts, Mermaid, Draw.io, audio, video, and remote previews in one workspace.
- 🏢 Enterprise-Ready Foundation: OAuth2, configurable auth and CORS, shared service architecture, CI coverage, and deployable multi-platform packaging.
🚀 Quick Start
Prerequisites (web from source): Python 3.10+, Node.js 18+.
Web (clone and run)
git clone https://github.com/ZHangZHengEric/Sage.git
cd Sage
export SAGE_DEFAULT_LLM_API_KEY="your-api-key"
export SAGE_DEFAULT_LLM_API_BASE_URL="https://api.deepseek.com/v1"
export SAGE_DEFAULT_LLM_MODEL_NAME="deepseek-chat"
./scripts/dev-up.sh
Open http://localhost:5173. The first run may ask for Minimal (SQLite) vs Full stacks — Minimal is the quickest. Optional: PYTHON_BIN=... or USE_UV=1 ./scripts/dev-up.sh if you use a custom Python or uv.
Detailed documentation: Web Application — manual backend + Vite, Docker Compose, and port notes.
Desktop (installers)
Download the latest .dmg (macOS), .exe NSIS installer (Windows), or .deb (Linux) from GitHub Releases, then install as below.
macOS
- Open the
.dmgfor your CPU (Intel or Apple Silicon), drag Sage.app into Applications. - The build is not currently Apple-notarized. If macOS says the developer cannot be verified or the app cannot be checked for malware: in Finder → Applications, right‑click
Sage.app→ Open, then confirm Open in the dialog (this adds a one-time exception for Gatekeeper). - If it is still blocked: System Settings → Privacy & Security, scroll to the message about Sage, click Open Anyway, then try opening the app again.
- If macOS reports the app is damaged or will not open, clear the quarantine flag and retry:
xattr -dr com.apple.quarantine /Applications/Sage.app
Windows
- Run the
.exeinstaller and complete the wizard. - If Windows SmartScreen warns about an unknown publisher, click More info → Run anyway (wording may vary by Windows version).
Linux (Debian / Ubuntu)
- Download the
.debfor your architecture from Releases. - Install from a terminal (adjust the filename):
sudo apt install ./Sage-<version>-<arch>.deb
You can also double-click the .deb in many desktop environments.
Detailed documentation: Desktop Application — build from source, env, and platform notes.
CLI
pip install -e .
export SAGE_DEFAULT_LLM_API_KEY="your-api-key"
export SAGE_DEFAULT_LLM_API_BASE_URL="https://api.deepseek.com/v1"
export SAGE_DEFAULT_LLM_MODEL_NAME="deepseek-chat"
export SAGE_DB_TYPE="file"
sage doctor
sage run "Say hello briefly."
# or: sage chat
Detailed documentation: CLI Guide
TUI
After pip install -e . and the same SAGE_DEFAULT_* + SAGE_DB_TYPE=file as above, use sage-terminal (or run from app/terminal/ with cargo — see the guide).
Detailed documentation: TUI Guide
Chrome extension
Load the unpacked extension from app/chrome-extension/ in chrome://extensions/ (Developer mode). Point the extension at your local Sage backend if the port differs from defaults.
Detailed documentation: Chrome extension
🏗️ System Architecture
graph TD
User[User] --> Desktop[💻 Desktop App]
User --> Web[🌐 Web App]
User --> CLI[⌨️ CLI]
User --> Ext[🧩 Chrome Extension]
User --> IM[💬 IM Channels]
Desktop --> AppLayer[🧭 App Service Layer]
Web --> AppLayer
CLI --> AppLayer
Ext --> AppLayer
IM --> AppLayer
subgraph App[Product Layer]
AppLayer --> Chat[💬 Chat & Sessions]
AppLayer --> AgentsUI[🤖 Agent Management]
AppLayer --> Tasks[⏰ Tasks & Automations]
AppLayer --> Browser[🌐 Browser Bridge]
AppLayer --> Workbench[🛠️ Visual Workbench]
end
subgraph Core[SAgents Core]
AppLayer --> Runtime[🧠 Session Runtime]
Runtime --> Flow[📋 AgentFlow]
Flow --> Agents["🤖 Agents<br/>Plan / Simple / Fibre / Self-Check"]
Agents --> Memory[🧠 Memory Recall]
Agents --> Skills[🧩 Skills]
Agents --> ToolMgr[🛠️ Tool Manager]
end
subgraph Tools[Execution & Integration]
ToolMgr --> MCP[🔌 MCP Servers]
ToolMgr --> BrowserTools[🌍 Browser Automation]
ToolMgr --> Search[🔎 Unified Search]
ToolMgr --> ImageGen[🎨 Image Generation]
ToolMgr --> Questionnaire[📝 Questionnaire]
ToolMgr --> IMTools[📨 IM Delivery]
end
subgraph RuntimeEnv[Runtime & Infrastructure]
Agents --> Sandbox[📦 Sandbox Runtime]
Sandbox --> Local[Local]
Sandbox --> Pass[Passthrough]
Sandbox --> Remote[Remote]
AppLayer <--> Common[🧱 Shared Common Services]
Common <--> DB[(SQL Database)]
Memory <--> ES[(Elasticsearch)]
Workbench <--> FS[(RustFS / Local Files)]
Runtime -.-> Obs["👁️ Observability<br/>OpenTelemetry"]
end
📅 What's New in v1.1.0
🤖 SAgents Kernel Updates
- Execution Chain Enhancements: Added
PlanAgent,SelfCheckAgent,MemoryRecallAgent, andToolSuggestionAgent - Context Efficiency: Improved user input optimization and conversation history compression for long-running tasks
- Session & Messaging: Added edit-and-rerun support, richer progress feedback, and better session inspection workflows
- Tooling Expansion: Added questionnaire collection workflows and improved tool-call rendering, truncation, and observability
💻 Product Layer Updates
- New Entry Points: Added Sage CLI, Chrome extension, and browser automation tooling
- Workbench Upgrades: Expanded support for audio, video, Mermaid, Draw.io, remote file preview, and richer tool cards
- Chat Experience: Improved progress messages, delivery flow display, reasoning content presentation, and workspace interactions
- IM Integrations: Expanded WeChat Personal (iLink), WeCom, Feishu, and DingTalk support with stronger file messaging flows
🛡️ Platform & Infrastructure
- Enterprise Readiness: Added OAuth2, email verification, and stronger auth/CORS/security controls
- Sandbox & Runtime: Refactored local/passthrough/remote sandbox support and improved Node runtime/sidecar packaging
- Shared Architecture: Extracted reusable
common/services, models, and schemas across desktop and server - Documentation & CI: Rebuilt the docs structure, added CLI guides, and expanded CI/test coverage
📚 Documentation
- 📖 Full Documentation: https://wiki.sage.zavixai.com/
- 📝 Release Notes: release_notes/
- 🏗️ Architecture: See
sagents/,common/, andapp/for the core runtime and product layers - 🔧 Configuration: Environment variables and config files in
app/desktop/
🛠️ Development
Project Structure
Sage/
├── sagents/ # SAgents core runtime, flow, context, tools, sandbox
├── common/ # Shared models, schemas, services, core clients
├── app/
│ ├── desktop/ # Desktop app (Python backend + Vue UI + Tauri shell)
│ ├── server/ # Server app and web frontend
│ ├── cli/ # Sage CLI entrypoint and services
│ └── chrome-extension/ # Browser extension and sidepanel
├── mcp_servers/ # IM, search, scheduler, image generation and more
├── docs/ # English and Chinese documentation
└── release_notes/ # Version release notes
Contributing
We welcome contributions! Please see our GitHub Issues for tasks and discussions.
💖 Sponsors
We are grateful to our sponsors for their support in making Sage better:
🦌 Join Our Community
💬 Connect with us
📱 WeChat Group
Scan to join our WeChat community 🦌
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.