head to head · open source
frigate vs ai-devkit
frigate has 37,160 GitHub stars, 3,782 forks, 95 open issues and last shipped yesterday. ai-devkit has 1,656 stars, 262 forks, 20 open issues and last shipped yesterday. frigate leads on adoption by 2,144% (37,160 vs 1,656 stars). frigate is written in Python under MIT; ai-devkit is written in TypeScript under Apache-2.0. frigate has attracted 10% as many forks as stars, ai-devkit 16%. ai-devkit was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| frigate | ai-devkit | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 1.7K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 3.8K | ⑂ 262 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick frigate if
- You weight community size — 37K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick ai-devkit if
- You want the ai-devkit feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and ai-devkit fits your workflow better
About frigate
Frigate NVR™ Realtime Object Detection for IP Cameras \[English\] 简体中文 A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors. Tight integration with Home Assistant via a custom component Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary Leverages multiprocessing…
read the full frigate overview →
About ai-devkit
AI DevKit English 中文 The control plane for AI coding agents. AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local first operating layer: one config, one console, local memory retrieval, cross agent communication, and composable engineering skills led by dev lifecycle . One config for every agent — .ai devkit.json reconciles setup across the coding tools your team uses One console for running sessions — agent console is a live TUI dashboard for supervising local agents across providers Cross agent communication — agent send lets you…
read the full ai-devkit overview →
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Frequently asked questions
Is frigate or ai-devkit more popular?
frigate has 37,160 GitHub stars and ai-devkit has 1,656. frigate has the larger community by that measure.
Are frigate and ai-devkit free?
Both are open source. frigate is licensed under MIT and ai-devkit under Apache-2.0. Neither carries a licence fee.
What is the difference between frigate and ai-devkit?
frigate is written in Python and ai-devkit in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, frigate or ai-devkit?
Choose frigate if you want the larger community (37,160 stars) or its MIT licence terms. Choose ai-devkit if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.