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message: "If you use TMCRA, please cite this software. OpenAI Codex assisted with development and reproducibility engineering."
title: "TMCRA — Agent Memory Engine"
type: software
version: "2026.07.18"
date-released: 2026-07-18
license: Apache-2.0
authors:
- family-names: Yu
given-names: Haoxin
alias: reshuibuduo
website: "https://github.com/reshuibuduo"
- name: "OpenAI Codex"
website: "https://openai.com/codex/"
repository-code: "https://github.com/reshuibuduo/TMCRA-Agent-Memory"
url: "https://github.com/reshuibuduo/TMCRA-Agent-Memory"
abstract: >-
TMCRA is an agent memory engine that builds scope-isolated, source-traceable
memory from long-running conversations and compiles relevant evidence for
downstream agents. This release includes the algorithm snapshot, learned
graph-scoring artifacts, and a reproducible LongMemEval pipeline.
keywords:
- agent memory
- long-term memory
- memory graph
- retrieval
- LongMemEval
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