joshuaswarren/remnic

Description and use

A local‑first memory plugin that equips AI agents—such as OpenClaw, Hermes, Codex, Claude Code, and others—with persistent, long‑term recall across conversations. It uses LLM‑driven extraction to convert interactions into plain‑markdown notes, stores them locally, and provides hybrid search through QMD for fast, context‑aware retrieval. The project enables seamless orchestration of memory for agents without relying on external services.

Use in a workflow

joshuaswarren/remnic 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.