RAG Frameworks · UnicomAI

wanwu

Wanwu is an enterprise-grade AI agent development platform by China Unicom that enables building intelligent agents, workflows, RAG systems, and ontology-based reasoning. It offers five core capabilities (RAG, ontology, workflow, GUI, and general agents) with multiple deployment methods (cloud platform, API integration, or on-premises).

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Source: GitHub — github.com/UnicomAI/wanwu

2.6k

GitHub stars

115

Forks

Primary language

Apache-2.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	UnicomAI/wanwu
Owner	UnicomAI
Primary language	Go
License	Apache-2.0 — OSI-approved
Stars	2.6k
Forks	115
Open issues	25
Latest release	v0.5.10 (2026-07-03)
Last updated	2026-07-03
Source	https://github.com/UnicomAI/wanwu

What wanwu is

Go-based multi-tenant platform with RAG/GraphRAG support, low-code workflow orchestration, MCP integration, model hub abstraction layer, web search, GUI automation via Docker sandbox, and skill framework. Supports OpenAI API compatibility and multiple inference backends (vLLM, TGI).

Quickstart

Get the wanwu source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/UnicomAI/wanwu.git2cd wanwu3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Enterprise Document Intelligence & RAG

Leverage the RAG/Knowledge Base agent with 12-format parsing, OCR, GraphRAG ontology modeling, and source citation for building high-precision Q&A systems over scattered corporate documents and policies.

Complex Workflow Automation with AI

Deploy the Workflow Agent for structured business processes (contract review, expense approval) with visual low-code orchestration, conditional branching, and zero-code skill invocation to ensure AI follows business rules.

Multi-step Business Reasoning & Decision Support

Use the Ontology Agent to automatically build knowledge networks from enterprise data, enabling LLMs to perform deep reasoning and closed-loop action beyond text-only Q&A.

Implementation considerations

Requires Go >= 1.24.0; verify compatibility with your deployment infrastructure and CI/CD pipelines.
Multi-tenant architecture implies complex permission/data isolation setup; plan RBAC and audit logging early.
MCP and external model integration (OpenAI, Claude, Llama) depend on API credentials and rate limits; budget for cost monitoring.
RAG document parsing supports 12 formats plus OCR/MinerU; pre-validate document quality and format coverage against your corpus.
Docker sandbox for GUI Agent requires container orchestration; assess operational readiness for managing isolated bot runtimes.

When to avoid it — and what to weigh

Real-time sub-second latency requirements — No performance benchmarks provided; unknown if the platform meets ultra-low-latency SLAs typical of trading, telecom real-time systems.
Strict non-China data sovereignty requirements — Platform originates from China Unicom; review data residency policies, encryption, and regulatory compliance (GDPR, CCPA) before use in EU/US production.
Minimal infrastructure footprint or serverless-only deployment — Multi-tenant architecture and sandbox Docker containers suggest significant operational overhead; unclear if serverless or extremely lightweight edge deployments are supported.
Full offline/air-gapped operation without internet — Web search and model hub features rely on external connectivity; local-only scenarios may require significant customization or workarounds.

License & commercial use

Apache License 2.0 (Apache-2.0). Permissive OSI-approved license allowing free use, modification, redistribution, and commercial deployment under the terms of the Apache-2.0 agreement.

Apache-2.0 is a permissive open-source license that explicitly permits commercial use, proprietary modification, and redistribution provided copyright and license notices are retained. No vendor lock-in or commercial support requirement is implied by the license alone. However, review China Unicom's support, SLA, and commercial terms separately if production support is required.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Strong
Assessment confidence	High

Security considerations

No explicit security audit, vulnerability disclosure policy, or certification details provided in the data. Xinchuang compliance mentioned (hardware/software inspection for Chinese ecosystem); unclear if third-party security assessments exist. Multi-tenant isolation and permission control are claimed but not validated. Sandbox Docker containers for GUI agents provide some process isolation, but container escape risks, network policies, and secrets management practices are not documented. Recommend: conduct threat modeling, perform penetration testing, and review data encryption practices before production use.

Alternatives to consider

Dify

Open-source (MIT) AI agent/workflow platform with RAG, model switching, and knowledge base. Lighter-weight, larger community, but less enterprise-grade multi-tenancy and ontology features.

LangChain / LangGraph

Python-based agent framework with broad LLM ecosystem support and workflow orchestration. Requires more custom development; trade-off is flexibility and smaller operational footprint.

Microsoft Copilot Studio

Enterprise AI agent builder with workflow, RAG, and multi-channel deployment (Teams, web, etc.). Proprietary, cloud-native, tighter Azure ecosystem integration; better for Microsoft shops.

Software development agency

Build on wanwu with DEV.co software developers

Wanwu offers five integrated capabilities (RAG, workflows, ontology reasoning, GUI automation, general agents) with flexible deployment. Review the data sovereignty, compliance, and security requirements for your region and workload, then assess fit against alternatives like Dify or LangChain.

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wanwu FAQ

Does Wanwu require a commercial support contract?

No. Apache-2.0 license permits free use. However, production support, SLAs, and enterprise services may require separate commercial agreement with China Unicom or authorized partners.

Can I run Wanwu entirely on-premises and air-gapped?

Partially. The platform can be self-hosted, but web search and model hub features rely on external connectivity. Local model inference and knowledge bases can be deployed offline with proper setup.

What LLMs does Wanwu support?

Hundreds of proprietary and open-source models via the Model Hub, including OpenAI (GPT), Claude, Llama, and Yuanjing ecosystem models. Deep OpenAI API compatibility and multiple inference backends (vLLM, TGI) are supported.

Is Wanwu suitable for GDPR/CCPA compliance?

Unknown. The platform originates in China with Xinchuang certification; explicit data residency, encryption, DPA, and regulatory compliance documentation is not provided in available data. Requires vendor review.

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