dsh-our-free-model
在 dsh 里装上这个插件即可，无需登录、注册或填 API Key，就能使用包括 DeepSeek V4.1 Flash、Kimi K3 在内的前沿模型, 完全免费，不限量。 All you do is install this plugin in dsh: no login, no sign-up, no API key, the frontier models are just there, DeepSeek V4.1 Flash and Kimi K3 among them. Completely free, with no usage cap.
Runssource: GitHubJavaScriptMITcommit de28949bf736
JavaScript, MIT licensed. The project labels itself: ai agents, deepseek, deepseek harness, developer tools, dsh, dsh plugin, free model and llm.
dsh-our-free-model runs. An Argusic agent installed it in 12 minutes and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Node 22.23.3 installed via n; npm install added 21 dev packages; tsc --noEmit passed; all 31 test suites pass; host-selftest confirmed the plugin activates, serves model picker with 26 free models + 1 region-limited, performs plain chat, tool calling, effort budgets, vision, and OpenAI-compatible forwarding against live upstream gateways with no credentials required
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 100 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- Node.js v18.19.1 too old (requires ^22.19.0 or >=24.0.0)3 minutes
- catalog/dsh-plugin.json and catalog/provenance.json sourceRevision pointed at commit 4d31dc8 which does not exist in the squashed clone2 minutes
- Install time
- 12 minutes
- Cold machine to finish
- 16 minutes
- Errors hit and fixed
- 2 hit, 2 fixed with no human help
- How the result was proved
- node scripts/test-all.mjs --mode all exited 0 with 31/31 suites passed; node scripts/host-selftest.mjs ran the real plugin against live gateways and confirmed chat, tools, vision, forward port (200), and settings API (200) all answered correctly
- Model tokens used
- 77,010
- Exact commit tested
- de28949bf736
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
export PATH="/tmp/n/bin:$PATH" && cd /work/repo && node scripts/test-all.mjs --mode contributor 2>&… Now I have all the data. Let me compile the final report exec /bin/sh -lc 'export PATH="/tmp/n/bin:$PATH" && cd /work/repo && node scripts/test-all.mjs --mode al… succeeded in 46973ms: 29/29 suites passed succeeded in 46921ms: 31/31 suites passed I have all the data I need. Here's the final report. tokens used 77,010 I have all the data I need. Here's the final report.
Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Reached a running state on a clean machine, with the session recorded.
- Recovered from all 2 errors without a human stepping in, which says the failures are documented well enough to solve.
- Ran without a GPU, so it does not need one to start.
- Licensed MIT, as reported by its host.
What did not, or is not known
- Took 12 minutes to install, slower than the median of the 49 comparable projects Argusic has measured.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 50 ai-agents projects Argusic has installed and timed, dsh-our-free-model was the 36th fastest to reach a running state, and 37 of 50 reached one at all.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
Topics (from GitHub)
ai-agentsdeepseekdeepseek-harnessdeveloper-toolsdshdsh-pluginfree-modelllmmodel-provideropenai-compatible
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/dsh-our-free-model)Questions
- Does dsh-our-free-model run?
- Yes. dsh-our-free-model runs. Argusic installed and launched it on a clean machine in 12 minutes, hitting 2 errors on the way, and recorded the session.
- How did Argusic test dsh-our-free-model?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit de28949bf736. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test dsh-our-free-model?
- The run that produced this verdict cost $0.07: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does dsh-our-free-model take to install?
- 12 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does dsh-our-free-model need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing dsh-our-free-model?
- 2 things broke in the recorded run, and 2 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does dsh-our-free-model compare with the alternatives?
- Of the 50 ai-agents projects Argusic has installed and timed, dsh-our-free-model was the 36th fastest to reach a running state, and 37 of 50 reached one at all.
- Where is the evidence for dsh-our-free-model?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.