MongLong0214

What an agent can do with the commitlore corpus

MongLong0214/commitlore: Git-native decision memory for Claude Code, Codex, Cursor and other coding agents. Preserve constraints and rejected alternatives; surface…

• Look up how commitlore implements claude-code, git, mcp, with answers cited to file and line.
• Reuse a worked example: the commit “withdraw a staged capture, and call a replaced one repl…” (5 files · TypeScript).
• Answer from commitlore's real TypeScript source instead of memory (AI, prompts and agents).

• How does commitlore implement claude-code?
• What does test do in commitlore?

Search the GitHub repository MongLong0214/commitlore with XERJ (https://hub.xerj.org/corpus/monglong0214--commitlore).
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/MongLong0214/commitlore commitlore && git -C commitlore checkout 2dbe3050117e6e48a6ac795fc9c8b7c6fafbeb83
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./commitlore --url http://127.0.0.1:9200 --prefix commitlore --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 monglong0214--commitlore · AI, prompts and agents
Related corpora: dunorth595--ai-agent-memory, xerj-blogposts, ordewell/ordewell, jayzeng/agentmemory
AI search and retrieval with XERJ · Case study: reference coding for agents