ScienceDiscovery
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Start here, then dive into the features you need.
Getting Started
Quick Start
Deploy ScienceDiscovery
Concepts: how ScienceDiscovery completes a research task
Core Capabilities
ScienceDiscovery Core Capabilities
RSI for scientific artifacts: put each improvement to the test
Scientific execution environment and workspaces: turn ideas into runnable experiments
Idea Tree: explore research directions, then refine them
Scientific MCP and Skills: connect resources and reuse research methods
ScienceMemory and Reviewer: make conclusions easier to question
Specialists: give research tasks focused expertise
Domain Guides
Use PUCT to optimize a text compression algorithm
Research how migrating birds determine location and direction
Analyze correlations and clusters of sepsis endotype scores
Design an antibody on Ascend NPU
Advanced Setup
Configure custom MCP servers, OAuth and Inspector
Configure the Network Proxy
Install Neo4j and configure ScienceMemory
Import and manage research Skills
Create and use custom Specialists
Reference
Configuration, Ports, Quotas, and Storage Reference
REST API Reference
Runtime Behavior Reference
Built-in Tools Visible to the Model
Web Search and Web Fetch
JiuwenSwarm migration: status and hand-over
Agent backends
Built-in Research Capabilities Reference
CLI Reference
Shell, environments and workspaces
Developer Documentation
Developer Documentation
Runtime Architecture
Control Plane: services/api
Sandbox Execution: services/runner
ScienceMemory (Task and Citation Chains)
Subagent Orchestration and Governance
Skill Progressive Disclosure
Scientific MCP and External Data Sources
Frontend: apps/web
Agent Backend: Native Executor
Ascend NPU Host Broker Design
Single-file Binary Packaging and Releases
Content-addressed storage (CAS)
Dynamic context assembly
Context assembly examples
Deployment Runtime Internals
Deep Developer Guide
Evolution sidecar: architecture, engines, and standalone deployment
Idea Tree autonomous-research engine
MCP Backend Design
Network Proxy Mechanism
PDF Extraction: services/paper
Plugin mechanism
External Data-Source Rate Limiting
Repository Layout Reference
Review and Provenance
Project and Session Runner inheritance
Runtime Core boundaries
Session trajectory and model context
Skill Library: Current Implementation
Skill Self-Evolution: Current Implementation