head to head · open source

ODS vs ai-devkit

ODS has 7,753 GitHub stars, 1,102 forks, 2,618 open issues and last shipped yesterday. ai-devkit has 1,656 stars, 262 forks, 20 open issues and last shipped 2 days ago. ODS leads on adoption by 368% (7,753 vs 1,656 stars). ODS is written in Python under Apache-2.0; ai-devkit is written in TypeScript under Apache-2.0. ODS has attracted 14% as many forks as stars, ai-devkit 16%. ODS was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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.

ODS ★ 7.8K ai-devkit ★ 1.7K category Productivity & Utilities

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Side by side

ODS ai-devkit
GitHub stars ★ 7.8K ★ 1.7K
License Apache-2.0 Apache-2.0
Written in Python TypeScript
Last push 2026-11-04 2026-11-03
Forks ⑂ 1.1K ⑂ 262
Self-hosting Yes Yes
Data ownership Your server Your server

pick ODS if

  • You weight community size — 7.8K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full ODS profile →

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

full ai-devkit profile →

About ODS

ODS Osmantic Deployment System Turn your PC, Mac, or Linux box into a private AI server. AI server and homelab setup is rapidly becoming a solved problem. It should feel that way for everyone. ODS installs and wires together everything you need to run AI locally, so you do not have to assemble Ollama, Open WebUI, n8n, ComfyUI, and privacy tools by hand: Local model inference — run open models on your own hardware ChatGPT style web UI — talk to your models from any browser Control dashboard — manage models, services, setup, GPU status, and extensions from one place Voice, agents, and workflows — build automations…

read the full ODS 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 ODS or ai-devkit more popular?

ODS has 7,753 GitHub stars and ai-devkit has 1,656. ODS has the larger community by that measure.

Are ODS and ai-devkit free?

Both are open source. ODS is licensed under Apache-2.0 and ai-devkit under Apache-2.0. Neither carries a licence fee.

What is the difference between ODS and ai-devkit?

ODS 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, ODS or ai-devkit?

Choose ODS if you want the larger community (7,753 stars) or its Apache-2.0 licence terms. Choose ai-devkit if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.