Learn how Hexabot and Parlant differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai agent platforms is best for you.
Last 30 days
Last commit
2 days agoRepository age
2 yearsVersion
v2.2.2License
AGPL-3.0Self-hosted
YesRepository
hexastack/hexabot
Last 30 days
Last commit
17 hours agoRepository age
3 yearsVersion
v4.0.2License
Apache-2.0Repository
emcie-co/parlant
Both Hexabot and Parlant have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Parlant significantly outpaces Hexabot in community adoption with 18,325 stars compared to 1,156 stars on GitHub. This 15.9x difference suggests Parlant has a much larger and more active community. In terms of developer contributions, Parlant has 1,555 forks, indicating strong developer engagement.
Hexabot is growing faster, adding 7 stars in the last 30 days (+0.6%) against adding 27 stars for Parlant (+0.1%). Hexabot is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Hexabot last updated 2 days ago and Parlant 17 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, SCSS. However, they differ in their additional technology choices: Hexabot uses Next.js, NestJS while Parlant leverages Python.
Both projects started around the same time, with Hexabot beginning 2 years ago and Parlant 3 years ago.
The projects use different licenses: Hexabot is licensed under AGPL-3.0 while Parlant uses Apache-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: Hexabot also focuses on Low-Code/No-Code while Parlant extends into AI Chat Interfaces, Chatbot Platforms.
Hexabot provides self-hosting options for complete data control and customization, while Parlant may be primarily cloud-based or require different deployment approaches.