Hexabot

Hexabot currently reaches a growing audience of developers, AI automation builders, and technical teams through GitHub, npm, documentation, and community content. In the last 14 days alone, the project recorded 4,163 GitHub clones from 651 unique cloners, 838 repository views from 270 unique visitors, and 476 weekly downloads of the newly published Hexabot CLI on npm. While the project is still in its early v3 launch phase, this suggests an estimated monthly reach of around 1,000–1,500 unique technical users, with close to 10,000 monthly technical interactions when combining GitHub clones, visits, and package downloads.

Hexabot is built for developers, AI automation builders, agencies, CTOs, and technical founders who want to create production-ready AI chatbots and workflow automations without relying on black-box agent platforms. It is especially useful for teams that need self-hosting, custom integrations, human handoff, memory, RAG, and tighter control over LLM costs. Typical users include AI agencies building automations for clients, companies automating customer support or internal operations, and developers who want a programmable framework for combining deterministic actions with LLM reasoning. Hexabot is already being used in real-world customer experience and automation contexts, including telecom and support-oriented use cases, while some customer and partner names are not yet publicly disclosed.

Other, NestJS, React, NodeJS, Javascript, Typescript

- GitHub repository: https://github.com/hexabot-ai/hexabot Public repo with 954 stars, 215 forks, and 4,597 commits, showing strong open developer interest and ongoing activity. - npm CLI package: https://www.npmjs.com/package/@hexabot-ai/cli The newly published Hexabot CLI reached 476 weekly downloads shortly after launch, based on npm package analytics. - Official website: https://hexabot.ai Main product website positioning Hexabot as a self-hostable AI workflow automation platform. - Documentation: https://docs.hexabot.ai Developer documentation covering installation, workflows, actions, channels, MCP, memory, and RAG. - Installation guide: https://docs.hexabot.ai/quickstart/installation Public quickstart documentation showing developer onboarding and CLI-based setup. - YouTube setup tutorial: https://www.youtube.com/watch?v=EWVST74fQkg Tutorial showing how to install Hexabot and create a first project. - YouTube channel: https://www.youtube.com/channel/UCSVYZKYG8r2xhykgdGq691g Hexabot’s video channel for tutorials and product education. - Dev.to tutorial: https://dev.to/marrouchi/install-hexabot-cli-and-create-your-first-ai-workflow-3ah0 Developer article introducing the Hexabot CLI and first AI workflow.