--- title: "code-server vs OlliteRT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coder-code-server-vs-nightmean-ollitert" tools: ["coder-code-server", "nightmean-ollitert"] --- # code-server vs OlliteRT *GraphCanon updated Jul 15, 2026* ## Verdict Pick code-server when code-server is primarily TypeScript; OlliteRT is Kotlin; pick OlliteRT when olliteRT is primarily Kotlin; code-server is TypeScript. [code-server](https://coder.com) reports 78k GitHub stars, 6.7k forks, and 157 open issues, last pushed Jul 11, 2026. [OlliteRT](https://github.com/NightMean/OlliteRT) has 135 stars, 14 forks, and 3 open issues, last pushed Jul 13, 2026. Figures are from public GitHub metadata via [code-server's repository](https://github.com/coder/code-server) and [OlliteRT's repository](https://github.com/NightMean/OlliteRT). | | [code-server](/tools/coder-code-server.md) | [OlliteRT](/tools/nightmean-ollitert.md) | | --- | --- | --- | | Tagline | VS Code in the browser | Turn your Android phone into an OpenAI-compatible LLM inference server, Fully local, private and Open Source | | Stars | 78,364 | 135 | | Forks | 6,748 | 14 | | Open issues | 157 | 3 | | Language | TypeScript | Kotlin | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Inference & Serving | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [code-server](/tools/coder-code-server.md) | [OlliteRT](/tools/nightmean-ollitert.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 157 | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/coder-code-server/trust.md) | [trust report](/tools/nightmean-ollitert/trust.md) | ## Choose when ### Choose code-server if… - code-server is primarily TypeScript; OlliteRT is Kotlin. - License: code-server is MIT, OlliteRT is Apache-2.0. - Tags unique to code-server: browser-ide, dev-tools, development-environment, ide. ### Choose OlliteRT if… - OlliteRT is primarily Kotlin; code-server is TypeScript. - License: OlliteRT is Apache-2.0, code-server is MIT. - Tags unique to OlliteRT: android, anthropic-api, gemma, home-assistant. - Also covers LLM Frameworks. ## When NOT to use code-server - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use OlliteRT - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between code-server and OlliteRT? code-server: VS Code in the browser. OlliteRT: Turn your Android phone into an OpenAI-compatible LLM inference server, Fully local, private and Open Source. See the comparison table for live GitHub stats and shared categories. ### When should I choose code-server over OlliteRT? Choose code-server over OlliteRT when code-server is primarily TypeScript; OlliteRT is Kotlin; License: code-server is MIT, OlliteRT is Apache-2.0; Tags unique to code-server: browser-ide, dev-tools, development-environment, ide. ### When should I choose OlliteRT over code-server? Choose OlliteRT over code-server when OlliteRT is primarily Kotlin; code-server is TypeScript; License: OlliteRT is Apache-2.0, code-server is MIT; Tags unique to OlliteRT: android, anthropic-api, gemma, home-assistant; Also covers LLM Frameworks. ### When should I avoid code-server? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid OlliteRT? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is code-server or OlliteRT more popular on GitHub? code-server has more GitHub stars (78,364 vs 135). Stars measure visibility, not whether either tool fits your constraints. ### Are code-server and OlliteRT open source? Yes - both are open-source projects on GitHub (code-server: MIT, OlliteRT: Apache-2.0). ### Where can I find alternatives to code-server or OlliteRT? GraphCanon lists graph-backed alternatives at [code-server alternatives](/tools/coder-code-server/alternatives) and [OlliteRT alternatives](/tools/nightmean-ollitert/alternatives) ([code-server markdown twin](/tools/coder-code-server/alternatives.md), [OlliteRT markdown twin](/tools/nightmean-ollitert/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/coder-code-server-vs-nightmean-ollitert.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, code-server or OlliteRT? code-server: Very active. OlliteRT: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for code-server and OlliteRT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [code-server trust report](/tools/coder-code-server/trust); [OlliteRT trust report](/tools/nightmean-ollitert/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=coder-code-server`](/api/graphcanon/graph?tool=coder-code-server) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_