KikeVen

KikeVen / zerikai_memory

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A standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory.

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10
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100% credibility
Found May 05, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Zerikai Memory is a local tool that gives AI coding assistants persistent memory of project details, enabling context recall across sessions and apps while optimizing costs through smart local and cloud processing.

How It Works

1
🔍 Discover Zerikai Memory

You stumble upon this handy tool on GitHub that helps your coding helper remember project details across chats and apps.

2
📥 Set it up on your computer

You download it and run a few easy steps to get it working right on your own machine, keeping everything private.

3
🔗 Connect to your coding app

You add a simple connection in your favorite coding program, like VS Code or Cursor, so they can talk to it.

4
🏠 Start remembering your project

You tell your AI helper to set up memory for the project you're working on right now.

5
🧠 It learns your whole project

The tool scans your files, makes smart summaries of key parts, and builds an overview of your work – fast and automatic!

6
💭 Chat and save memories

Ask your AI about past decisions or save new notes, and it pulls up exactly what you need without repeating yourself.

🎉 Smooth, smart coding sessions

Now your AI always knows your project inside out, saving time and frustration no matter which app or session you're in.

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AI-Generated Review

What is zerikai_memory?

Zerikai_memory is a standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory for AI assistants. It indexes your codebase into a local vector store, retrieves relevant summaries semantically, and synthesizes answers using Ollama for free local queries or DeepSeek for complex ones with automatic cost-aware routing. Developers get instant recall of project decisions, conventions, and architecture across chats or IDE switches like VS Code to Cursor, without dumping files or re-explaining context every time.

Why is it gaining traction?

Unlike cloud-only tools, this python standalone github server runs entirely locally via STDIO, keeping data private and 70-80% of queries free via Ollama-first routing and DeepSeek KV caching for 50x cheaper reasoning. Natural language commands like "scan the workspace" or "what did we decide about auth?" auto-trigger tools, with cross-IDE sharing and token tracking for cost control. The hook: dramatic API savings and warm starts that feel like a team member who never forgets your project.

Who should use this?

Backend devs juggling multiple repos who hate rehashing architecture in Cursor or VS Code Copilot chats. AI-heavy teams switching between Claude Desktop and GitHub Copilot, needing isolated memory per workspace. Solo full-stackers auditing codebases or refactoring without token waste on raw file context.

Verdict

Worth a spin for MCP-enabled IDEs if you're tired of cold AI sessions—solid docs and setup make it easy despite 10 stars and 1.0% credibility signaling early maturity. Test on a side project first; no tests visible means watch for edge cases in production workflows. (198 words)

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