Totó Busnello

What an agent can do with the memoria-nox corpus

totobusnello/memoria-nox: Self-hosted memory for LLM agents - one SQLite file, zero services, MIT. Hybrid retrieval (FTS5 + sqlite-vec + RRF) with pain-weighted…

• Look up how memoria-nox implements better-sqlite3, gemini-embeddings, hybrid-search, with answers cited to file and line.
• Reuse a worked example: the commit “passe de oraculo sobre as 9: o limite de -14,1% e na verd…” (3 files · Python).
• Answer from memoria-nox's real Python source instead of memory (AI, prompts and agents).

• How does memoria-nox implement better-sqlite3?
• What does audits do in memoria-nox?

Search the GitHub repository totobusnello/memoria-nox with XERJ (https://hub.xerj.org/corpus/totobusnello--memoria-nox).
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/totobusnello/memoria-nox memoria-nox && git -C memoria-nox checkout c39bfe33221e9d1d1ceb36e7372df211e5cc0e8e
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./memoria-nox --url http://127.0.0.1:9200 --prefix memoria-nox --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 totobusnello--memoria-nox · AI, prompts and agents
Related corpora: flexrag, deepeval, jzjzzzzzzz/agent-me, Oussama-zbir/retrieval-evaluation-lab
AI search and retrieval with XERJ · Case study: reference coding for agents