sachinsharma9780/memweave

Description and use

Memweave is an async‑first, zero‑infrastructure Python library that equips AI agents with persistent, searchable memory by storing data as plain Markdown files. It lets developers add long‑term context to agents without setting up databases or external services, and provides simple APIs for adding, retrieving, and querying the stored notes. Ideal for orchestration, AI/ML workflows, and DevOps pipelines where lightweight, file‑based knowledge bases are preferred.

Use in a workflow

sachinsharma9780/memweave helps turn isolated prompts and tools into repeatable agent workflows.

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

Limitations and review notes

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.