PROJECT
Production Multi-Agent Systems · Rev. 2026.04
DRAWN BY
YuanASI · Shenzhen
DRAWING
A-001 / Master Layout

Deploy production-grade,
autonomous AI agent teams.[01]

OPEN SOURCE5,700★ · MIT

Powered by open-multi-agent — our TypeScript-native orchestration framework (GitHub 5,700★ · 2,200 forks). From architecture to production, we ship AI agent teams that actually run.

[01] · Evidence
GitHub 5,700★
2,200 forks
[02] · Evidence
Ex-WPS PM
Scaled a SaaS line to 9-figure ARR
[03] · Evidence
Insurance Agent
Shipped in 15 days · Consult / quote / onboarding orchestrated by a multi-agent team
→ Book a CallExplore on GitHubDirect line +86 13760249135 · Weekdays GMT+8
Content & business partnersContent partnerships · Business advisory · Ecosystem building
Alibaba
ByteDance
Baidu
WPS
Zhipu AI
10+ more
02 / OPEN SOURCEDWG. OMA-SERIES · SHEET 02 / 04

A multi-agent orchestration
engine, built for production.

open-multi-agent

TypeScript-native. Three runtime deps. One runTeam() call — the framework decomposes your goal into a task DAG and executes in parallel.

Fig. M-01
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Fig. M-02
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Forks
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Contributors
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MIT
License
01UNIT · H-01

From goal to result, in one call

Give the framework a goal (e.g. “Build a REST API”). A coordinator decomposes it into a task DAG, runs independent tasks in parallel, and synthesizes the output. No graph to draw. No tasks to wire up.

02UNIT · H-02

TypeScript-native · three runtime deps

@anthropic-ai/sdk + openai + zod — that’s the whole runtime. Drop it into Express, Next.js, serverless, or CI. No Python runtime, no subprocess bridge, no cloud sidecar.

03UNIT · H-03

Mix models in one team

Claude, GPT, Gemini, Grok, MiniMax, DeepSeek, Copilot — plus local models via Ollama, vLLM, LM Studio, or llama.cpp — all in the same team. Architect on Opus, developer on GPT, reviewer on local Gemma, in a single runTeam() call.

→ View on GitHub
03 / SERVICESSHEET 03 / 04

Three engineering units.
One path to production.

From scoping to production — we ship AI agent teams that run in your stack.

01UNIT · DWG S-01

Custom AI Agent Delivery

Full-stack delivery from requirements to production.

  • Business scenario mapping & agent design
  • Custom implementation on open-multi-agent
  • Prompt engineering & evaluation
  • Production deployment & system integration
  • On-prem / private deployment & data security
  • Ongoing iteration & operational support
DWG S-01
SCALE 1:1
INAGENT · A-01PROMPTTOOLSMEMORYOUTITERATE
02UNIT · DWG S-02

Multi-Agent System Integration

Enterprise-grade rollout of open-multi-agent inside your stack.

  • Multi-agent architecture design
  • Task orchestration & inter-agent communication
  • RAG knowledge base setup & integration
  • Integration with existing systems (CRM / ERP / internal APIs)
  • Performance & reliability tuning
  • SOP handoff & team transition
DWG S-02
SCALE 1:1
PARALLELCOORDA-01A-02A-03RESULTrunTeam()
03UNIT · DWG S-03

Enterprise AI Advisory

Where AI agents belong — and how to ship them.

  • AI scenario evaluation & business audit
  • Technology selection & solution design
  • POC prototyping
  • ROI estimation & roadmap planning
  • Team AI capability assessment & enablement
  • Custom playbook delivery
DWG S-03
SCALE 1:1
CASESSCENARIOS20VIABLE8POC2SHIP1
04 / INTAKE · SHEET 04 / 04

Ready to ship AI agents?
Start with a 30-minute call.

→ Book a free 30-minute intakeCALExplore open-multi-agent on GitHub↗

Phone

+86 13760249135

Weekdays only · Shenzhen GMT+8

Studio

Nanshan District, Shenzhen

Software Industry Base, Building 1 · A701-20