llm-space
A desktop app to prototype agent ideas, inspect every harness step, replay failures, and evaluate performance, all in one place. Local-first, cloud-ready for managed agents.
Prototype and test ideas for AI agents while tracking their performance.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA desktop app to prototype agent ideas, inspect every harness step, replay failures, and evaluate performance, all in one place. Local-first, cloud-ready for managed agents.
llm-space has 1.8k stars on GitHub. It has been forked 187 times. llm-space is written mainly in TypeScript. It has been in active development since 2026. llm-space is available under the MIT license. Its main topics are agent, deer-flow, develop, electrobun.
What is llm-space?
A desktop app to prototype agent ideas, inspect every harness step, replay failures, and evaluate performance, all in one place. Local-first, cloud-ready for managed agents.
Is llm-space open source?
llm-space is an open-source project. It is released under the MIT license.
Is llm-space free?
Yes. llm-space is free and open source — you can use, modify and self-host it.
What license does llm-space use?
llm-space is available under the MIT license.
What language is llm-space written in?
llm-space is written mainly in TypeScript.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/deer-flow-llm-space.html)
