Local LLM
FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
★ 39.6k starsApache-2.0
View guide →Desktop lab for prototyping AI agents — inspect steps, replay failures.
llm-space is an open-source local llm project by deer-flow (deer-flow/llm-space on GitHub). It has 1,978 GitHub stars and 215 forks, is released under the MIT license, and was last updated on GitHub on 1 October 2026.
Get the desktop build for your OS.
Sketch your agent idea in the workspace.
Watch every harness step as it runs.
Reproduce failures and measure fixes.
See exactly what the agent did and why.
Reproduce bugs without full re-runs.
Measure agent performance over time.
Prototype on your own machine.
Graduate to managed agents when ready.
Prototype, debug, and eval in one app.
Download the source and move into the project folder.
git clone https://github.com/deer-flow/llm-space.git
cd llm-spaceEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt prototypes agent ideas generally; check the docs for harness details.
MIT licensed — commercial use allowed.
No, it is local-first; cloud is for managed agents later.
Performance measurement of your agents; see the docs for metrics.
It is a desktop app; check the releases for your OS.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
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Free and open — grab the source, star the repo, and start creating.