DJLougen

DJLougen / Rust-Brain

Public

Rust CLI for RBMEM (.rbmem), a structured Rust-Brain memory format with timestamp-protected sections, hierarchy, graph relations, Hermes integration, and Markdown sync.

agent-memory cli markdown rbmem rust
11
0
100% credibility
Found May 01, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

A tool for converting and managing structured note files that AI agents can read, update, and query reliably for long-term memory and context.

How It Works

1
📖 Discover smart note organizing

You hear about a helpful way to turn everyday notes into structured memories that AI helpers can use reliably across chats.

2
💻 Get the note organizer ready

You download the free tool and prepare it on your computer with a quick setup.

3
🆕 Create your memory notebook

You make a new file to store your organized notes, goals, rules, and ideas.

4
✨ Turn notes into connected sections

You convert your Markdown notes into neat sections with timestamps, links between ideas, and safe updates that feel organized and trustworthy.

5
🔍 Pull just the right info for tasks

You ask for compact summaries or full views tailored to a job, like project rules or user preferences, ready to share with your AI.

🎉 AI remembers and works smarter

Your AI assistant now uses your structured memories perfectly, staying consistent and helpful over time without forgetting key details.

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Star Growth

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AI-Generated Review

What is Rust-Brain?

Rust-Brain is a Rust CLI tool for RBMEM, a structured file format that remedies Markdown's looseness for AI agents by adding stable dotted paths like agents.reader.capabilities, tool-protected timestamps, hierarchy, graph relations, and compact outputs. It solves the pain of agents parsing unstructured notes—guessing sections, trusting fake timestamps, or bloating context windows—while letting humans edit Markdown synced to .rbmem files. Key wins: CLI commands like rbmem query "github code review" --minified for task-specific LLM context, or sync folders with --watch.

Why is it gaining traction?

It stands out with Hermes integration (hermes load/save for agent memory), automatic graph inference from prose, and minified views slashing token counts—e.g., Obsidian notes drop from 491 to 87 tokens. As a rust cli tool, it feels snappy like rust clippy checks, with packs for reusable contexts like code_review. Developers hook on the brain trust meaning: durable, queryable memory across sessions without rewriting files.

Who should use this?

AI agent builders using Hermes for self-evolving workflows, Rust devs managing project rules/instructions in rust brain box setups, or note-takers syncing Obsidian to agent memory. Ideal for rust brain teasers like GEPA evolution or github code review pipelines needing structured recall.

Verdict

Grab it if you're in the Hermes/rust cli library niche—solid docs, cheat sheet, and doctor checks make it production-ready for private use despite 11 stars and 1.0% credibility score. Still early (not on crates.io), so test locally before rust github actions integration.

(198 words)

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