Goclaw — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Goclaw. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Jun 29, 2026 • Sentiment updated: Jun 27, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Author here. Good points.We renamed to UnixClaw — too many NoClaw namespace collisions, as mentioned on HackerNews. Additionally, on GitHub, users discuss various issues and enhancements, such as agent LLM failover and UX improvements.

Pros & Cons

What People Love

Purpose-built tools like kal and rem, Improved security features, as discussed on HackerNews and GitHub

Common Complaints

Namespace collisions, Agent LLM failover issues, Limited attachment support

Biggest Positive: Purpose-built tools

Biggest Negative: Namespace collisions

Why Goclaw Stands Out

GoClaw stands out from alternatives with its unique combination of multi-tenant PostgreSQL, single binary deployment, and production-grade security features. Its ability to support 20+ LLM providers and 7 messaging channels makes it an ideal choice for building custom chatbots and automated research agents. The project's focus on observability and extendability, with features like heartbeat systems and scheduling, demonstrates a deep understanding of the needs of AI developers and researchers. By leveraging GoClaw, developers can build more complex and secure AI systems without compromising on scalability or ease of use.

Built With

Build a custom chatbot that integrates with 20+ LLM providers — GoClaw's single binary and multi-tenant PostgreSQL enable easy deployment and management, Build an automated research agent that can read and synthesize large amounts of data — GoClaw's extended thinking mode and streaming support make it possible, Build a multi-agent system that can orchestrate tasks across different messaging channels — GoClaw's agent teams and orchestration features enable seamless communication, Build a production-ready AI gateway with 5-layer security and rate limiting — GoClaw's permission system and encryption ensure secure data transmission, Build a scalable AI platform that can run on a $5 VPS — GoClaw's lightweight binary and low RAM usage make it an ideal choice

Getting Started

  1. Install GoClaw using the command `go get -u github.com/nextlevelbuilder/goclaw`
  2. Configure the PostgreSQL database by running `psql -U postgres -d goclaw -f init.sql`
  3. Set up the environment variables by running `export GOC LAW_CONFIG=/path/to/config.json`
  4. Start the GoClaw server using the command `goclaw -config /path/to/config.json`
  5. Try sending a message to the Telegram channel to verify that the bot is working correctly

About

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.

Official site: https://goclaw.sh

Category & Tags

Category: multi-agent

Tags: agent-orchestration, ai-agent, ai-gateway, anthropic, chatbot, discord-bot, golang, harness, harness-engineering, llm, mcp, multi-agent, openai, postgresql, telegram-bot, websocket

Market Context

Competing with other AI and automation tools, with a focus on security and usability