kirill31337
kirill31337's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @kirill31337 appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the deepseek-team corpus
kirill31337/deepseek-team: DeepSeek Flash subagents for Codex and Claude Code
- Look up how deepseek-team implements ai-agents, claude-code, codex, with answers cited to file and line.
- Reuse a worked example: the commit “Ship overhead contract and durable correction workspaces (0.10.0)” (29 files · Python).
- Answer from deepseek-team's real Python source instead of memory (AI, prompts and agents).
- Where does deepseek-team handle “Ship overhead contract and durable correction workspaces (0.10.0)”?
- How does deepseek-team implement ai-agents?
- What does tests do in deepseek-team?
Search the GitHub repository kirill31337/deepseek-team with XERJ (https://hub.xerj.org/corpus/kirill31337--deepseek-team). 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/kirill31337/deepseek-team deepseek-team && git -C deepseek-team checkout 76989b51221163de437ca29e4bc598b5ade9c4d6 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./deepseek-team --url http://127.0.0.1:9200 --prefix deepseek-team --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.
corpus kirill31337--deepseek-team · AI, prompts and agents
Related corpora: agno, chroma, joaoCarvalho1000/audio-as-code, marcmarti9/agentit
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
kirill31337/deepseek-team
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/kirill31337)
Included with the author's permission (email, 2026-10-21), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.