skynetcmd/m3-memory — Local-first Memory Framework for AI Agents · 99.2% LongMemEval-S retrieval @ k=10 · Supports Claude…

Description and use

skynetcmd/m3‑memory is a local‑first memory framework that turns isolated prompts and tools into repeatable agent workflows, offering hybrid search (FTS5 + vector + MMR), GDPR/FIPS‑ready storage, and plug‑and‑play support for Claude, LangChain, Hermes, Gemini, and other AI backends. Its straightforward API/SDK/CLI makes it easy to pilot in multi‑agent orchestration or RAG pipelines, while recent activity, strong adoption signals, and high production‑readiness scores indicate it’s ready for a serious OSS pilot or production deployment.

Problem

skynetcmd/m3-memory helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

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

Evidence

Local-first Memory Framework for AI Agents · 99.2% LongMemEval-S retrieval @ k=10 · Supports Claude · Antigravity · LangChain · Hermes · Gemini · OpenCode · OpenClaw · MCP-native and plugins · Hybrid search (FTS5 + vector + MMR) · GDPR · FIPS 140-3 ready · 100% local (fully offline) or cloud capable

Source