A Python coding-agent CLI that uses DeepSeek (and 25+ other LLM backends) via `kimix --config=xx.json`; install from source with `python install.py` or via `pip install kimix`.
DSH integration
Compatible
Author-claimed
Safety audit
Unaudited
Last verified
2026-08-25
License
Not specified by the author
01What can it help you accomplish?
Run an LLM-backed coding agent that drives Shell, Glob and other tools to complete real development tasks
Code changes and validated config files, with subprocess / sub-agent / background-task execution and format-check warnings
Developers who want a lightweight coding-agent CLI that can be pointed at DeepSeek (or OpenAI / Anthropic / …) models
Switch between DeepSeek and 25+ other LLM providers without changing your workflow
One KimiX CLI that routes prompts to any verified backend (deepseek, openrouter, openai, anthropic, gemini, …) through a custom config
Teams standardized on DeepSeek that also want OpenAI / Anthropic-compatible fallback providers in a single tool
02How to install into DeepSeek Harness
Installation steps
- 01
From source: run `python install.py`
- 02
Via pip: run `pip install kimix`, then `python -m kimix.cli` (or just `kimix`)
- 03
After setup, point KimiX at a backend config: `kimix --config=xx.json` (default templates live in `docs/`)
Verify the integration
Not specified by the author
03DSH integration and capability boundaries
Runs as a standalone coding-agent CLI and points KimiX at DeepSeek (and 25+ other) LLM backends via a config file and API key — `kimix --config=xx.json`.
Lean system prompts
initial prompts and tool descriptions→compressed prompts (~2000 tokens) that still cover nearly all built-in tools
Hardened permissions & validation
Shell, Glob and other tool calls→validated tool execution that reduces retry loops from failures
Multi-API & verified backends
a custom config (`kimix --config=xx.json`) compatible with OpenAI / Anthropic→routing to DeepSeek and 25+ verified providers (kimi, openai, anthropic, gemini, …)
04Who is it for? When not to use it?
Good for
- Developers who want a lightweight coding-agent CLI that can be pointed at DeepSeek (or OpenAI / Anthropic / …) models
- Teams standardized on DeepSeek that also want OpenAI / Anthropic-compatible fallback providers in a single tool
05Compatibility, maintenance and safety notes
Python · actively maintained (latest release dsh-plugin, 2026-08-14)
06Frequently asked questions
How does KimiX connect to DeepSeek Harness?
The README presents KimiX as a standalone coding-agent CLI and lists DeepSeek among its verified LLM backends; it does not describe a native DeepSeek Harness runtime integration. You connect it to DeepSeek by selecting DeepSeek in a config file (`kimix --config=xx.json`).
Do I need my own API key?
Yes. The README states the repo supports various API keys (OpenAI, Anthropic, and others) and uses `kimix --config=xx.json` after setup, so you bring your own DeepSeek (or other provider) key.
Can I use models other than DeepSeek?
Yes. KimiX is tested against kimi, xai, anthropic, openai_legacy, openai_responses, google_genai/gemini, vertexai/vertex and 25+ Hermes-ported providers including deepseek, openrouter, xiaomi, zai, minimax and bedrock.
How do I install KimiX?
From source run `python install.py`, or via pip run `pip install kimix` then `python -m kimix.cli` (or just `kimix`). The README does not list a separate verify or rollback step.
What makes it different from the original Kimi-CLI?
It compresses system prompts to ~2000 tokens, hardens Shell / Glob validation to cut retry loops, redirects large subprocess output to temp files, and adds programmable prompts plus explicit multi-task conversation management.
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08Data and sources
Tested against kimi, xai, anthropic, openai_legacy, openai_responses, google_genai/gemini, vertexai/vertex, plus 25+ Her…
This repo supports not only KIMI LLM but also various API keys! Like OpenAI, Anthropic, etc. Default config templates ar…
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-25. Found an error? Submit a correction.
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