JasonDocton

JasonDocton / lucid-memory

Public

Memory for AI that works like yours—local, instant, persistent. 13x faster than Pinecone, 5x leaner than RAG. Finds what RAG misses. Zero cloud, zero cost.

agent-memory agentic-ai ai ai-agent ai-tools
124
7
100% credibility
Found Feb 04, 2026 at 75 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Lucid Memory adds human-like recall to AI coding assistants like Claude Code, remembering conversations, files, workflows, images, and video sequences across sessions entirely locally.

How It Works

1
🔍 Discover smarter AI coding

You hear about Lucid Memory, a tool that makes your AI assistant like Claude remember your past work sessions, files, and even screenshots across chats.

2
🚀 Install in 60 seconds

Run one simple command in your terminal, and it checks your setup, grabs what you need, and gets everything ready—no hassle.

3
⚙️ Pick your favorites

Choose your AI tools like Claude or Codex, local thinking power or a quick online boost, and how to organize memories.

4
✨ Hooks connect automatically

It adds smart reminders to your AI chats so memories build as you work, then restarts your assistant to turn it on.

5
🧠 Chat with perfect recall

Ask 'Remember that auth bug fix?' and your AI recalls the exact files, steps, and even screenshots from weeks ago.

6
📊 Check and tweak anytime

Use simple commands to see memory stats, switch setups, or clear old stuff if needed.

🎉 AI feels like a teammate

Your coding sessions flow seamlessly—your AI knows your codebase, workflow, and history like you've worked together for years.

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AI-Generated Review

What is lucid-memory?

Lucid-memory gives AI coding assistants like Claude Code and OpenAI Codex persistent, local memory that survives sessions. It captures gists of conversations, files accessed, images, and videos, then retrieves relevant context instantly via a cognitive system balancing similarity, recency, and associations. Built in TypeScript with a Rust core for speed, it installs via curl script and hooks into tools via MCP for automatic memory github copilot integration—no cloud, zero ongoing cost.

Why is it gaining traction?

It claims 13x faster retrieval than Pinecone and 5x leaner than RAG, with benchmarks showing 82.5% recall at fixed token budgets where baselines hit 55%. Developers notice AI recalling "that auth bug from last week" without prompts, plus episodic sequences ("what before the refactor?") and procedural instincts for file locations. As a github memory manager, it sidesteps memory github mcp limits and unattended drifts in long workflows.

Who should use this?

Backend engineers debugging intermittent issues across days, where AI needs to remember session flows. Full-stack devs building on Claude/Codex who hit github memory limit walls in monorepos. Teams running local AI without vector DB overhead, like those testing memory github optimizer setups.

Verdict

Solid early bet for local AI memory that actually understands dev workflows—run the benchmarks yourself. At 82 stars and 1.0% credibility, it's immature (light tests, GPL-3.0), so prototype before production.

(198 words)

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