nextlevelbuilder/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...

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Summary Information

Updated 16 minutes ago
Added to GitGenius on September 19th, 2026
Created on February 22nd, 2026
Open Issues & Pull Requests: 268 (+0)
GitHub issues: Enabled
Number of forks: 1,054
Total Stargazers: 3,605 (+0)
Total Subscribers: 27 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 25.1 hours
Mean response time: 17.1 days
90th percentile: 79.6 days
Tracked items: 536

Most active contributors

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How this project is maintained

Practically every issue opened in the past year has drawn a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Almost all tracked open issues have seen activity in the last three months. 74% of issues opened in the past year have been closed, leaving a working backlog. Three people close 77% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 142
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 128 days
Stale 30+ days: 127
Stale 90+ days: 3

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • maintain:triaged (219)
  • agent:github-maintain (198)
  • bug (156)
  • P2-medium (128)
  • enhancement (99)
  • P1-high (63)
  • area:providers (63)
  • P3-low (59)

Detailed Description

GoClaw is a multi-tenant AI agent platform built in Go that orchestrates AI agents across multiple channels and LLM providers.

The tool addresses the challenge of deploying AI agent teams at scale while maintaining security and isolation. It provides a single binary that integrates with over twenty LLM providers, supports seven communication channels including Discord and Telegram, and uses PostgreSQL for multi-tenant data isolation. The architecture emphasizes native concurrency through Go's goroutines and implements a five-layer security model to protect agent operations and tenant data.

Teams should adopt GoClaw if they need to coordinate multiple AI agents across different platforms without building custom orchestration infrastructure. It suits organizations running production workloads that require multi-tenancy, where different customers or internal teams need isolated agent environments. The tool is particularly valuable for those already invested in the Go ecosystem or seeking a single deployable binary rather than microservices. The platform's support for multiple LLM providers means you are not locked into one vendor, and the inclusion of WebSocket support enables real-time agent interactions.

The project shows consistent development activity with regular updates to core functionality. The maintainers actively expand LLM provider integrations and channel support. Documentation is maintained across multiple languages, indicating sustained effort to serve a global audience. The codebase incorporates observability through OpenTelemetry integration, suggesting attention to production deployment requirements.