get-Lucid

get-Lucid / Lucid

Public

An intelligence layer grounding autonomous agents in verified, real-time knowledge at scale.

260
10
69% credibility
Found Mar 09, 2026 at 101 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This repository provides a plugin server that connects AI agents to Lucid's service for real-time verified information on documentation, packages, facts, and APIs.

How It Works

1
🔍 Discover Lucid

You learn about Lucid, a smart helper that gives your AI coding friend the latest real facts so it stops giving old advice.

2
📥 Add the extension

In your AI chat tool, you easily add the Lucid extension from its built-in store.

3
💳 Sign up for access

You visit the Lucid site, pick a simple monthly plan, and get your personal pass to unlock fresh knowledge.

4
🔗 Share your pass

You tell your setup the pass you got, and it connects everything securely in seconds.

5
💬 Chat with super-smart AI

Now, as you ask your AI about code, docs, or packages, it pulls in the newest info automatically for spot-on help.

Get reliable answers

Your AI buddy now shares accurate, up-to-date tips every time, making your projects smoother and faster.

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AI-Generated Review

What is Lucid?

Lucid is a TypeScript-based MCP server that acts as an intelligence layer ai for autonomous agents, pulling verified real-time data on docs, packages, facts, and APIs to combat hallucinations from stale training data. Agents query its four tools—lucid_search_docs, lucid_check_package, lucid_verify_fact, and lucid_fetch_api_ref—via skills that auto-trigger on context like "how to use React hooks" or "latest Next.js version." Setup is dead simple: grab an API key from getlucid.tech, export LUCID_API_KEY, and install via Claude Code Plugin or OpenClaw skills.

Why is it gaining traction?

Unlike github copilot xcode intelligence or generic code intelligence github tools, Lucid prioritizes live verification over guesses, ensuring agents cite current docs or changelogs without fallback to outdated knowledge. The skills layer means no manual tool calls—conversation intent handles it—and at 20 USDC/month on Solana/Base, it's a cheap fix for agent reliability in dynamic codebases. Developers notice fewer wrong package recs or deprecated API advice right away.

Who should use this?

AI agent builders on Claude or OpenClaw who integrate code gen into workflows, like backend teams verifying Stripe endpoints or frontend devs grounding React/Next.js queries. It's for anyone tired of agents spitting bun-vs-node myths or old TypeScript types during pair programming sessions. Skip if you're not running agentic setups.

Verdict

Worth a trial for agent-heavy dev flows despite 92 stars and a 0.7% credibility score signaling early maturity—docs are solid, install is frictionless, but test in prod first. Pairs well as a data intelligence layer atop tools like github lucid icons for immersive intelligence github stacks.

(178 words)

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