RAG Frameworks · nuwax-ai

nuwax

Nuwax is an open-source, enterprise-grade platform for building and deploying AI agents with features like knowledge base management, model proxying, memory systems, and a plugin ecosystem. It supports distributed sandbox execution and integrates with messaging platforms like Feishu, DingTalk, and Slack.

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Source: GitHub — github.com/nuwax-ai/nuwax

832

GitHub stars

166

Forks

TypeScript

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	nuwax-ai/nuwax
Owner	nuwax-ai
Primary language	TypeScript
License	Apache-2.0 — OSI-approved
Stars	832
Forks	166
Open issues	13
Latest release	v1.1.14 (2026-07-03)
Last updated	2026-07-07
Source	https://github.com/nuwax-ai/nuwax

What nuwax is

TypeScript-based agent OS providing REST/WebSocket APIs, MCP (Model Context Protocol) support, workflow orchestration, RAG capabilities, and multi-service architecture with optional distributed Agent Computer (sandbox) deployment. Runs on Docker/Docker Compose with support for x86_64 and ARM64 architectures.

Quickstart

Get the nuwax source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/nuwax-ai/nuwax.git2cd nuwax3# follow the project's README for install & configuration

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

Best use cases

Enterprise AI Agent Development

Organizations needing to build and deploy private, branded AI agents with custom knowledge bases, controlled model access, and audit logging. Multi-tenant capability supports different teams/departments.

Workflow Automation & RAG Applications

Enterprises requiring agentic RAG (Retrieval-Augmented Generation) for document processing, knowledge retrieval, and task orchestration with isolated sandboxed execution.

Internal IM Integration & Assistant Deployment

Teams standardized on Feishu, DingTalk, WeCom, or Slack seeking to embed AI assistants directly into existing messaging workflows without external dependencies.

Implementation considerations

Docker and Docker Compose V2 are hard requirements; ensure operations team has containerization expertise and infrastructure ready.
Distributed Agent Computer (Sandbox) deployment adds operational complexity; plan for multi-server orchestration and cross-datacenter communication.
Knowledge base ingestion, model proxy configuration, and plugin ecosystem setup require upfront domain modeling and integration planning.
Ubuntu 22.04 LTS is the recommended baseline; validate on your target OS (macOS/other Linux variants may require additional troubleshooting).
Backup and upgrade workflows are command-driven via nuwax-cli; automate these in your deployment pipeline early.

When to avoid it — and what to weigh

Windows-primary infrastructure — Platform explicitly targets Linux (Ubuntu 22.04+ recommended) and macOS. Windows 10/11 support is noted as 'coming soon'—not production-ready.
Minimal resource constraints — Requires 4+ CPU cores, 8GB+ RAM, and Docker infrastructure. Not suitable for edge devices or serverless-only environments.
Lightweight, no-dependency deployment — Mandatory Docker/Docker Compose dependency and distributed architecture complexity make it unsuitable for simple chatbot or single-function agent use cases.
Proprietary/closed-source requirement — Apache 2.0 licensed open-source; if your org requires fully proprietary control or closed-source vendor support model, this does not fit.

License & commercial use

Apache License 2.0 (Apache-2.0): permissive OSI license allowing commercial use, modification, and distribution, provided copyright notices and license text are retained. No warranty or liability assumed by licensor.

Apache 2.0 permits commercial use without payment or vendor approval. However, the project is open-source with community support only (no SLA/enterprise support model mentioned). For mission-critical deployments, assess whether community-driven maintenance and lack of commercial backing aligns with your risk tolerance. Verify with legal if 'no warranty' clause is acceptable.

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	High
DEV.co fit	Strong
Assessment confidence	High

Security considerations

Project includes audit logging, permission management, and user management components (per architecture diagram). Sandboxed agent execution reduces lateral risk. No security audit, penetration test results, or vulnerability disclosure policy mentioned. Open-source code is publicly auditable but no formal security certification provided. Assess RBAC granularity, network isolation between Agent Computer instances, and secrets management (model API keys, knowledge base credentials) before production deployment.

Alternatives to consider

LangChain / LangGraph

Lightweight Python/JS agent frameworks with lower deployment friction. Better suited if you need modular agent logic without enterprise platform overhead.

AutoGen (Microsoft) / Crew AI

Multi-agent orchestration frameworks with strong open-source communities. Easier local development but lack built-in knowledge base, model proxy, and IM integrations.

Hugging Face Agents / Anthropic Claude API + Custom Backend

If cloud-hosted, managed agent services are acceptable; reduces operational complexity but introduces vendor lock-in and data residency considerations.

Software development agency

Build on nuwax with DEV.co software developers

Assess your infrastructure readiness, Docker expertise, and distributed architecture comfort. Nuwax is ideal for engineering teams with DevOps maturity and organizations needing private, customizable AI agent deployments. Contact our team to discuss your use case.

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nuwax FAQ

Can I run Nuwax on Windows?

Windows 10/11 support is listed as 'coming soon' in the README. Currently, use Ubuntu 22.04 LTS (Linux) or macOS 10.15+. For Windows users, Docker Desktop with WSL2 is a workaround but not officially tested.

Is there a managed/SaaS version?

Not mentioned in README. A demo is available at https://agent.nuwax.com, but no pricing or managed offering details are provided. Assume self-hosted only unless confirmed otherwise.

How does the Agent Computer (Sandbox) work?

It is an optional distributed component for isolated agent execution across multiple servers. Configure addresses in the main service to enable. Requires additional Docker/Docker Compose infrastructure and separate deployment steps.

What models and LLM providers are supported?

README mentions 'model proxy' and MCP support but does not explicitly list compatible providers (OpenAI, Claude, local LLMs, etc.). Requires review of full documentation or source code.

Custom software development services

Need help beyond evaluating nuwax? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and rag frameworks integrations — and maintain them long-term.

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