Goclaw
GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.
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What is Goclaw?
GoClaw is an enterprise AI agent platform rebuilt in Go, positioned as a secure and scalable alternative for deploying AI agent teams. It emphasizes multi-tenant isolation, native concurrency, and production readiness rather than a lightweight demo or research prototype.
The platform is built around a layered architecture that includes PostgreSQL row-level security, an API gateway, a security layer, an agent engine, LLM provider integrations, and a data layer. The website highlights 5-layer security, including rate limiting, SQL and prompt injection detection, SSRF protection, shell pattern matching, and AES-256-GCM encryption.
GoClaw is designed for teams that need coordinated multi-agent workflows. Its agent features include shared task boards, conversation handoff, evaluate loops, quality gates, MCP protocol support, and 40+ built-in tools.
It is also aimed at organizations that want broad ecosystem support and operational efficiency. The site says it supports 20+ LLM providers, 7 messaging channels, OpenTelemetry tracing, and rapid deployment with a small Go binary and zero runtime dependencies.
Goclaw pricing
Pricing model: Freemium
The website does not list standard subscription tiers or a free-to-paid plan ladder. It describes GoClaw as open source and self-hosted, with source code available under CC BY-NC 4.0, and says commercial licensing inquiries should go to [email protected]. For deployment, the site promotes a TOSE template that estimates an all-in monthly cost of $10–$20 and says first deploy can happen in under 60 seconds; the site also states enterprise support is available from NextLevelBuilder.
Goclaw pros
- Multi-tenant PostgreSQL isolation
- Row-level security at the database layer
- 5-layer security stack
- Rate limiting built in
- SQL injection detection
- Prompt injection detection
- SSRF protection
- Shell pattern pattern guard
- AES-256-GCM encryption
- Agent teams support
- Shared task boards
- Conversation handoff
- Evaluate loops
- Quality gates
- 20+ LLM provider integrations
- 7 messaging channels
- 40+ built-in tools
- MCP protocol support
- Native Go concurrency
- Less than 1 second startup
- ~25MB binary size
- Zero runtime dependencies
- OpenTelemetry tracing
- Self-hosted deployment
Goclaw cons
- Self-hosted setup required
- Primarily marketed for enterprise use
- Commercial use requires separate permission under CC BY-NC 4.0
- Not positioned as a consumer-friendly app
- No published tiered pricing on the site
- Security and infrastructure focus may be overkill for small projects
- Broad integration list may still require configuration work
- Website does not show a hosted SaaS plan
- Docs and support details are limited on the homepage
- Feature claims are presented without independent benchmarks
Frequently asked questions about Goclaw
What is GoClaw?
GoClaw is an enterprise AI agent platform rebuilt in Go. The site presents it as a secure, scalable system for deploying AI agent teams with multi-tenant isolation, native concurrency, and a production-oriented architecture.
Who is GoClaw for?
GoClaw is aimed at enterprises and teams that need multi-agent workflows, tenant isolation, observability, and security controls. The homepage repeatedly frames it as a production platform for organizations rather than a simple chatbot or personal assistant.
What security features does GoClaw include?
The website says GoClaw uses a 5-layer security model. It specifically lists rate limiting, SQL and prompt injection detection, SSRF protection, shell pattern matching, and AES-256-GCM encryption, along with a patch for CVE-2026-25253.
How does GoClaw handle multi-tenancy?
GoClaw uses PostgreSQL row-level security and multi-tenant schemas to isolate data at the database layer. The site says this is intended to prevent data leakage between organizations.
What agent workflow features does GoClaw provide?
GoClaw includes agent teams, shared task boards, conversation handoff, evaluate loops, and quality gates. These features are meant to coordinate multiple agents with shared context and visible workflow control.
Which LLM providers are supported?
The site says GoClaw supports 20+ LLM providers. Examples named on the homepage include OpenAI, Anthropic, Google Gemini, Groq, Mistral, DeepSeek, xAI, Cohere, and Ollama.
Which messaging channels work with GoClaw?
GoClaw advertises 7 messaging channels: Telegram, Discord, Slack, Zalo, Feishu or Lark, WhatsApp, and WebSocket. The site presents these as the primary ways to connect with users across chat platforms.
What built-in tools are included?
The homepage says GoClaw ships with 40+ built-in tools. It specifically mentions web search, code execution, file management, database queries, HTTP requests, browser automation, Git, and media-related tools.
How fast is GoClaw to deploy and run?
The site claims less than 1 second startup time and a binary size of about 25MB. It also promotes a one-click TOSE deployment that can get a production-ready server live in under a minute, with first deploy estimated at under 60 seconds.
Is GoClaw open source?
Yes, the Terms page says GoClaw is an open-source AI agent platform and that the source code is available on GitHub under CC BY-NC 4.0. The same terms state that commercial use requires written permission, and commercial licensing inquiries should be sent to [email protected].