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RAG / Knowledge Base/

Vera

Vera

Active·★ 120·MIT·Updated 2026-10-14

Vera is a local-first code search tool that uses BM25, vector search, and cross-encoder reranking. It indexes over 60 languages with tree-sitter and returns structured JSON results. It runs as a single static binary with no external dependencies.

#bm25#cli#code-search#code-search-engine#cross-encoder#embeddings#local#mcp

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Guides

$ Install

$ bunx @vera-ai/cli install && vera setup

↗ Visit site ★ GitHub

01

Features

01Model-agnostic, local-first

02Tree-sitter structural parsing

03Structured, code-aware results

04Cross-encoder reranking

05Zero-dependency, single binary

02

Compatibility

Linux x86_64

Linux x86_64

Verified via docs

Linux aarch64

Linux ARM64

Verified via docs

macOS x86_64

macOS x86_64

Verified via docs

macOS aarch64

macOS ARM64

Verified via docs

Windows x86_64

Windows x86_64

Verified via docs

Docker

Docker

Verified via docs

03

Quick start

1

$ bunx @vera-ai/cli install

2

$ vera setup

04

Use cases

↳Semantic code search in large codebases

↳AI agent integration for automated code retrieval

↳Codebase analysis and refactoring support

05

Alternatives

⚡Top VS:

VScoco-search★37→VSken★33→VScodesearch★93→VSsubcog

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On this page

01Features 02Compatibility 03Quick start 04Use cases 05Alternatives

★29

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coco-search★ 37

Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL.

Fast hybrid code search for agents. Pure Go, drop-in MCP-compatible with semble.

codesearch★ 93

Fast, local semantic code search as MCP server for OpenCode and Claude Code. Rust-powered, fully offline.

Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions. Features hybrid search (semantic + BM25), MCP server integration, SQLite persistence with knowledge graph, and proactive memory surfacing. Written in Rust.

knowledge-rag★ 300

Drop docs, search instantly from Claude Code — 12 MCP tools, 20 format parsers, hybrid search + reranking. Zero servers, zero API keys, 100% local.

Fast and Accurate Code Search for Agents

mcp-memory-libsql★ 87

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

Chat with your documents offline using your own hardware. Augment any AI agent via MCP with hybrid RAG search over PDFs, code, and 150+ formats. Integrate with your favorite GUI via REST API.

See all alternatives →

lemon07r /

Vera

↗

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

120MIT

Last commit1w ago

StatusActive

CategoryRAG / Knowledge Base

Links

Documentation↗Discussion↗Issues↗Releases↗

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