Dreamforge Studio LLC
Dreamforge Studio LLC'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 @dreamforgestudiollc 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 EMET corpus
dreamforgestudiollc/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.…
- Look up how EMET implements ai-agents, ai-memory, grok, with answers cited to file and line.
- Reuse a worked example: the commit “EMET 0.3.0” (77 files · JavaScript).
- Answer from EMET's real JavaScript source instead of memory (AI, prompts and agents).
- Where does EMET handle “EMET 0.3.0”?
- How does EMET implement ai-agents?
- What does tests do in EMET?
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.
corpus dreamforgestudiollc--emet · AI, prompts and agents
Related corpora: dunorth595--ai-agent-memory, fastmcp, YusenZhang0601/context-canopy, Gokulanand-art/common-context-mcp
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
dreamforgestudiollc/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 Nothing is deleted; records are superseded, retired and retained.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
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
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/dreamforgestudiollc)
Included with the author's permission (email, 2026-10-30), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.