syncable-dev

syncable-dev / memtrace-public

Public

The missing memory layer for coding agents

36
1
100% credibility
Found Apr 20, 2026 at 36 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Memtrace builds a persistent, structural memory map of codebases for AI agents, enabling fast queries on symbols, relationships, evolution, and architecture.

How It Works

1
🔍 Discover Memtrace

You hear about a helpful tool that gives AI coding helpers a perfect memory of your project's structure, making them smarter and faster.

2
📥 Get it set up

With one easy command, you download and prepare the memory tool for your computer—it takes just seconds.

3
📂 Open your project

Navigate to your codebase folder where all your files live.

4
🚀 Start the magic

Run a simple start command, and it automatically builds a detailed map of every function, class, and connection in your code.

5
🖥️ Explore visually

Open the built-in viewer at a web address to see your project's layout, dependencies, and history at a glance.

6
🤖 Team up with AI

Your AI coding buddy like Claude or Cursor now instantly knows your code's structure, relationships, and changes over time.

🎉 Code smarter

Ask complex questions about changes, impacts, or architecture—get precise answers fast, saving tons of time and tokens.

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Star Growth

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AI-Generated Review

What is memtrace-public?

Memtrace-public delivers the missing memory layer for coding agents, turning your codebase into a bi-temporal knowledge graph of symbols, relationships, and change history via AST parsing. Agents query structural details like callers, evolution, or API topology in milliseconds, ditching vague vector search for precise graph traversal. Install with `npm install -g memtrace`, run `memtrace start` to auto-index your project, and access 25+ MCP tools plus a localhost:3030 UI.

Why is it gaining traction?

It crushes benchmarks: 100% accuracy, 8ms latency, 90% less token bloat than ChromaDB or GitNexus, with zero LLM costs for indexing. Rust binary ensures speed; skills auto-guide Claude/Cursor on tasks like blast radius or dead code hunts. Solves "missing memory" pain for agents lost in large repos.

Who should use this?

Backend devs wielding Claude Code or Cursor v2.4+ on evolving monorepos, needing quick impact analysis before refactors. Agent builders frustrated by RAG hallucinations on imports or timelines. Teams mapping cross-service APIs without manual diffs.

Verdict

Promising early access tool with strong docs and reproducible benchmarks, but 36 stars and 1.0% credibility score mean it's unproven at scale—clone and benchmark your codebase. Grab it if coding agents lack structural recall.

(198 words)

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