$ loading_
Build enterprise AI agents, workflows, RAG apps, and manage models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "wanwu" yet — see the docs or source repo.
Design a RAG assistant solution based on our internal company documents, including knowledge base ingestion, retrieval flow, prompt structure, access control, and deployment steps.
A practical implementation plan for an enterprise knowledge assistant, including architecture, workflow, and rollout steps.
Design an intelligent approval workflow that classifies incoming forms, extracts key information, uses an LLM to generate approval suggestions, and routes results to the right approver.
A configurable workflow design with node structure, model invocation logic, and notification rules.
Create a model management and release plan for a multi-tenant AI application, covering model selection, versioning, validation, canary rollout, and rollback strategy.
A complete model governance and release workflow for reliably iterating AI applications.
Import statements, categorize spending, and manage personal budgets through AI agents.
Build and deploy serverless AI agents on geo-distributed edge infrastructure.
Monitor, audit, rewind, and safely test every AI agent action.
Equip AI agents with an x402 wallet to buy or sell services.
Plan trips end to end with flights, hotels, visas, weather, and fare tracking.
Query verified agent task routes and contribute attested execution outcomes.