angelnicolasc/graymatter — Three lines of code to give your AI agents persistent memory.

Description and use

angelnicolasc/graymatter provides a lightweight, three‑line‑code solution that gives AI agents persistent memory, cutting token usage by up to 90 % while preserving output quality and enabling repeatable, multi‑agent workflows. Its clear API/SDK/CLI interfaces and recent, active Go‑based development make it easy to integrate into existing orchestration or DevTools pipelines for a quick pilot. With strong GitHub traction (452★, 35 forks), regular updates (last 2026‑08‑10), and high production‑readiness signals, the project is ready for serious evaluation pending a final review of its license, security, and maintainer activity.

Problem

angelnicolasc/graymatter 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

Three lines of code to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

Source