MemTether/MemTether helps turn isolated prompts and tools into repeatable agent workflows

Описание и применение

MemTether/MemTether: open-source проект в категориях Orchestration, MCP, AI/ML, Backend, Database. Практическое применение: coordinate multi-agent workflows; add tool-use pipelines. Уровень готовности: подходит для прототипа или внутреннего workflow, перед production нужна ручная проверка.

Задача

MemTether/MemTether helps turn isolated prompts and tools into repeatable agent workflows.

Результат

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Рабочий процесс

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Доказательства

Cross-client AI memory hub - one physical SQLite, many clients. File-level pointers, REST API, MCP. Zero cloud. Dual-timeline governance. PyPI: memtether

Источник