head to head · open source

AutoMQ vs ai-native-callcenter

AutoMQ has 10,920 GitHub stars, 800 forks, 60 open issues and last shipped yesterday. ai-native-callcenter has 517 stars, 96 forks, 61 open issues and last shipped yesterday. AutoMQ leads on adoption by 2,012% (10,920 vs 517 stars). AutoMQ is written in Java under Apache-2.0; ai-native-callcenter is written in Go under Apache-2.0. AutoMQ has attracted 7% as many forks as stars, ai-native-callcenter 19%. AutoMQ was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

AutoMQ ★ 11K ai-native-callcenter ★ 517 category Infrastructure & Operations

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Side by side

AutoMQ ai-native-callcenter
GitHub stars ★ 11K ★ 517
License Apache-2.0 Apache-2.0
Written in Java Go
Last push 2026-11-02 2026-11-02
Forks ⑂ 800 ⑂ 96
Self-hosting Yes Yes
Data ownership Your server Your server

pick AutoMQ if

  • You weight community size — 11K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Java
  • You value the larger contributor base for long-term maintenance

full AutoMQ profile →

pick ai-native-callcenter if

  • You want the ai-native-callcenter feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Go
  • You evaluated both and ai-native-callcenter fits your workflow better

full ai-native-callcenter profile →

About AutoMQ

Diskless Kafka® on S3, Offering 10x Cost Savings and Scaling in Seconds. 📑&nbsp Documentation &nbsp&nbsp&nbsp 🔥&nbsp Explore AutoMQ Playground Now &nbsp&nbsp&nbsp yellow) orange) From 6 Hours to Seconds: How Grab Achieved 3x Data Streaming Efficiency with AutoMQ Tencent Cloud EMR uses AutoMQ as a first party service 2.2B Messages a Day: LG U+ Modernizes Log Pipelines with AutoMQ on AWS Geely: Powering Hybrid Cloud Streaming for a 10 Million Vehicle Fleet Bambu Lab: Unifying Multi Cloud Data Streaming with Stateless Kafka Honda: Slashing Kafka TCO by 50% with Cloud Native Diskless Architecture Avia Games…

read the full AutoMQ overview →

About ai-native-callcenter

AI Native Call Center An open source call center where the AI is the default answer, not an add on. Calls arrive at FreeSWITCH and are answered by a voice model over a speech to speech connection the application terminates itself. The model talks; a flow steers the conversation and decides when a person is needed. When one is, the caller is transferred into a real queue where real agents are waiting, their SIP leg held by a companion Chrome extension. Everything the two halves do lands in one call record. It is one Go binary — REST API, event stream and the whole web interface inside it — plus PostgreSQL and…

read the full ai-native-callcenter overview →

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Frequently asked questions

Is AutoMQ or ai-native-callcenter more popular?

AutoMQ has 10,920 GitHub stars and ai-native-callcenter has 517. AutoMQ has the larger community by that measure.

Are AutoMQ and ai-native-callcenter free?

Both are open source. AutoMQ is licensed under Apache-2.0 and ai-native-callcenter under Apache-2.0. Neither carries a licence fee.

What is the difference between AutoMQ and ai-native-callcenter?

AutoMQ is written in Java and ai-native-callcenter in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, AutoMQ or ai-native-callcenter?

Choose AutoMQ if you want the larger community (10,920 stars) or its Apache-2.0 licence terms. Choose ai-native-callcenter if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.