proxenos
A free, open-source agent that keeps your own records private on your computer and drafts the next step for you. Built first for people getting through the health care system
What XERJ indexed
Snapshot
The whole repository at commit dafeb29f56. It is the newest commit on main.
Selected work

“Searchable memory, recall, a corrected network and Google readers”. 61 files, 7,967 lines in src/twin, tests, web.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-30. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
ai-agentshealthtechlocal-firstmcp-serverprivacypythonollama
Example questions
- How does proxenos implement ai-agents?
- Where does proxenos handle “Searchable memory, recall, a corrected network and Google readers”?
- What does src/twin do in proxenos?
Inside the indexed corpus
- 393 files, 3.7 MB in total, about 9.6 KB per file.
- The selected commit changed 61 of those files (15.5%).
- Languages by size: Python 67.9%, TypeScript 30.5%, Shell 0.7%, CSS 0.4%, Swift 0.3%.
- On GitHub since 2026-10-27, last push 2026-10-31, 138 commits on main.
Licence on GitHub and in the corpus
GitHub reported MIT for mindemory/proxenos on 2026-10-31, and the LICENSE file at commit dafeb29f56 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Mrugank Dake (@mindemory) has 1 selected repository on the hub.
Using XERJ with proxenos
- Code search MCP for Claude Code: cite file:line, not grep proxenos is tagged mcp-server on GitHub.
- What is an MCP memory server?
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Best grep alternative for AI coding agents (2026)
The prompt
Paste it into your AI agent. It clones mindemory/proxenos at the pinned commit and indexes it on your machine.
Search the GitHub repository mindemory/proxenos with XERJ (https://hub.xerj.org/corpus/mindemory--proxenos). 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/mindemory/proxenos proxenos && git -C proxenos checkout dafeb29f56f19731eea9fbc3d6f99b9f22c2af99 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./proxenos --url http://127.0.0.1:9200 --prefix proxenos --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
Mrugank DakeAI, prompts and agents corporaeurlex-coredunorth595--ai-agent-memorydunorth595--ai-agent-chatsameeralam3127/llm-dev-kitAmz34/zeroegressjicine1360-prog/autorcode
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.