Yasou13 /

MESA

An asynchronous memory engine for enterprise AI agents, statistically minimizing hallucinations via dual-LLM consensus

A new way for AI to search for data
View on GitHub
6GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit c26d58c179 (2026-10-04).

Selected work

Yasin Büyüktepe
@Yasou13

“close planner input and citation gaps”. 3 files, 208 lines in tests, mesa_storage, mesa_memory.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

emrllmzero-trustagent-memoryaiai-agentsgraph-databaseknowledge-graph

Example questions

The prompt

Paste it into your AI agent. It clones Yasou13/MESA at the pinned commit and indexes it on your machine.

Search the GitHub repository Yasou13/MESA with XERJ (https://hub.xerj.org/corpus/yasou13--mesa).
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/Yasou13/MESA MESA && git -C MESA checkout c26d58c179b40d39ddc15b24eb31442304858841
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./MESA --url http://127.0.0.1:9200 --prefix mesa --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

Yasin BüyüktepeAI, prompts and agents corporaguardrailsagnoadalflowjzjzzzzzzz/agent-mepreviously-lab/agentkushalBanda/AI-Engineer

Selected work and consent: the XERJ registry.