EMET
EMET is an MCP memory server built for ISO 9001 7.5.3 / ISO 13485 4.2.5 document control: shared memory for AI agents and bot teams. Nothing is deleted; records are superseded, retired and retained. Controlled templates, verified writes, a word-for-word transcript tier, a GEM socket for add-on modules, stdio and remote HTTP with OAuth, on MongoDB
What XERJ indexed
Snapshot
The whole repository at commit 75be333b62 (2026-10-21). main is 2 commits ahead.
Selected work
“EMET 0.3.0”. 77 files, 6,291 lines in tests, src, scripts.
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-agentsai-memorygrokmcpmcp-serveragent-memorylong-term-memorymemory-server
Example questions
- How does EMET implement ai-agents?
- Where does EMET handle “EMET 0.3.0”?
- Show the ai-memory code in EMET.
Inside the indexed corpus
- 314 files, 5.0 MB in total, about 16.4 KB per file.
- The selected commit changed 77 of those files (24.5%).
- Languages by size: JavaScript 96.8%, HTML 2.9%, CSS 0.2%, Dockerfile 0%.
- On GitHub since 2026-10-02, last push 2026-10-28, 31 commits on main.
- The pin is 2 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for dreamforgestudiollc/EMET on 2026-10-31, and the LICENSE file at commit 75be333b62 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Dreamforge Studio LLC (@dreamforgestudiollc) has 1 selected repository on the hub.
Using XERJ with EMET
- Code search MCP for Claude Code: cite file:line, not grep EMET is tagged mcp on GitHub.
- What is an MCP memory server?
- What is agentic memory? A plain answer EMET is tagged agent-memory on GitHub.
- XERJ vs Mem0, Zep, Letta and Cognee for agent memory
The prompt
Paste it into your AI agent. It clones dreamforgestudiollc/EMET at the pinned commit and indexes it on your machine.
Search the GitHub repository dreamforgestudiollc/EMET with XERJ (https://hub.xerj.org/corpus/dreamforgestudiollc--emet). 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/dreamforgestudiollc/EMET EMET && git -C EMET checkout 75be333b628b7ec9f38a27ef55822abb1129549c 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./EMET --url http://127.0.0.1:9200 --prefix emet --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
Dreamforge Studio LLCAI, prompts and agents corporadunorth595--ai-agent-memorycamelxerj-blogpostsYusenZhang0601/context-canopyLucien-rose/contextweaveGokulanand-art/common-context-mcp
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.