Metadata-Version: 2.4
Name: srmhga
Version: 1.0.0
Summary: SRM-HGA: Semantic Routing Memory based Hybrid Governance Architecture for Long-Lived AI Agents
Author: Ahmet Yiğit Sertel
License: MIT
Project-URL: Homepage, https://github.com/AhmetYSertel/SRM-HGA
Project-URL: Repository, https://github.com/AhmetYSertel/SRM-HGA
Keywords: memory,llm,agents,hybrid-memory,governance,semantic-routing,long-term-memory,rag
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.24
Requires-Dist: semantic_routing_memory>=1.0.1
Provides-Extra: sentence-transformers
Requires-Dist: sentence-transformers>=2.2; extra == "sentence-transformers"
Provides-Extra: langchain
Requires-Dist: langchain>=0.1; extra == "langchain"
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0; extra == "dev"
Dynamic: license-file

# SRM-HGA

SRM-HGA is a production-oriented Python library that implements a **three-layer hybrid memory architecture** for long-lived LLM agents.

- **L1 — AQSRL:** vector-quantized semantic routing (fast path)
- **L2 — DV:** deterministic vault for exact and auditable records
- **L3 — PM:** stable profile memory for user preferences and constraints

This repository vendors a compatible SRM implementation under `src/srm/`.
