whatisgithub

What is next-plaid?

lightonai/next-plaid — explained in plain English

Analysis updated 2026-05-18

422RustAudience · developerComplexity · 3/5Setup · moderate

In one sentence

A local, no-server code search tool combining regex and semantic search, built on a multi-vector search database called NextPlaid.

Mindmap

mindmap
  root((ColGREP NextPlaid))
    ColGREP
      Regex search
      Semantic search
      Local single binary
    Integrations
      Claude Code
      OpenCode
      Codex
    How it works
      Tree-sitter parsing
      Multi-vector index
    NextPlaid
      REST API
      Docker deployable
      Python client
    Features
      Compressed storage
      Incremental updates
      SQL style filtering

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Search a codebase for concepts like error handling without needing exact keyword matches.

USE CASE 2

Let an AI coding agent such as Claude Code search your repository with semantic understanding.

USE CASE 3

Run NextPlaid as a standalone REST API to power semantic search in another project.

What is it built with?

RustTree-sitterDockerPython

How does it compare?

lightonai/next-plaidhelvesec/rmuxgi-dellav/zerostack
Stars422391459
LanguageRustRustRust
Setup difficultymoderatemoderateeasy
Complexity3/54/52/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Runs as a local binary with no external server, but the underlying NextPlaid API deployment uses Docker.

No license information is stated in the explanation.

So what is it?

This repository contains two related tools: ColGREP and NextPlaid. ColGREP is a command-line search tool for codebases that combines two search techniques, regular expression pattern matching and semantic meaning-based search. Instead of just finding lines that match a text pattern, it understands what you are looking for conceptually, so you can search for "error handling" and find relevant functions even if those exact words don't appear in the code. Everything runs locally as a single binary with no server or external service required, your code never leaves your machine. ColGREP integrates with AI coding agents like Claude Code, OpenCode, and Codex, allowing those tools to search your codebase using semantic understanding. It works by parsing your code with Tree-sitter (a code analysis tool), creating structured descriptions of each function and class, and then building a multi-vector index, a search index that stores many small representations of each code unit rather than just one, making matches more accurate for complex queries. NextPlaid is the underlying search database that powers ColGREP. It is a general-purpose multi-vector search engine available as a standalone REST API (accessible via Docker), with a Python client for integration into other projects. It supports compressed storage formats to keep memory usage manageable, incremental updates without rebuilding the full index, and SQL-style filtering to narrow results before the semantic search runs. Both tools are designed to run efficiently on CPU hardware.

Copy-paste prompts

Prompt 1
Help me install ColGREP and run a semantic search for error handling code in my repository.
Prompt 2
Explain how ColGREP's multi-vector index differs from a plain regex search.
Prompt 3
Walk me through deploying NextPlaid as a Docker-based REST API for my own project.
Prompt 4
How do I connect ColGREP to Claude Code so it can search my codebase semantically?

Frequently asked questions

What is next-plaid?

A local, no-server code search tool combining regex and semantic search, built on a multi-vector search database called NextPlaid.

What language is next-plaid written in?

Mainly Rust. The stack also includes Rust, Tree-sitter, Docker.

What license does next-plaid use?

No license information is stated in the explanation.

How hard is next-plaid to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is next-plaid for?

Mainly developer.

Open on GitHub → Ask about another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.