Tsuev /
opencode-deepseek
A local OpenAI-compatible bridge to the free DeepSeek web chat, which you can plug into opencode as a regular model provider and use as a…
A new way for AI to search for data
76GitHub stars
What XERJ indexed
Selected work
“Add deployment guide and opencode agent integration”. 7 files, 619 lines in server, deepseek, the project root.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-11. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
Example questions
- Where does opencode-deepseek handle “Add deployment guide and opencode agent integration”?
- What does server do in opencode-deepseek?
The prompt
Paste it into your AI agent. It clones Tsuev/opencode-deepseek at the pinned commit and indexes it on your machine.
Search the GitHub repository Tsuev/opencode-deepseek with XERJ (https://hub.xerj.org/corpus/tsuev--opencode-deepseek). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/Tsuev/opencode-deepseek opencode-deepseek && git -C opencode-deepseek checkout 38855bec915cbe8b2b9b55f5da266f7f10a003ac 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./opencode-deepseek --url http://127.0.0.1:9200 --prefix opencode-deepseek --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Mansur TsuevAI, prompts and agents corpora
Selected work and consent: the XERJ registry.