AgentIndex icon
AgentIndex
codegraph logo
codegraph
★ 99
vs
Archive-Agent logo
Archive-Agent
★ 63

codegraph vs Archive-Agent

codegraph: Codegraph provides AI coding assistants with an always-current, function-level dependency graph of an entire codebase, built locally and open source. This allows AI to understand code structure instantly, reducing token waste and improving accuracy for complex tasks like refactoring and debugging.; Archive-Agent: Archive Agent is an intelligent file indexer that brings Retrieval Augmented Generation (RAG) to your command line, enabling natural language search and query of your local documents. It features on-device processing with automatic OCR, semantic chunking, and supports various AI providers for flexible deployment.

01

TL;DR

codegraph logo
codegraphVision / Multimodal · ★ 99

Improve AI agent's understanding of codebase structure, eliminating repeated re-orientation.

Read codegraph full review →
Archive-Agent logo
Archive-AgentVision / Multimodal · ★ 63

Quickly find information within a large collection of personal or work documents using natural language.

Read Archive-Agent full review →
02

Side-by-Side Comparison

Field
codegraph logocodegraph
Archive-Agent logoArchive-Agent
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 99
★ 63
License
Apache-2.0
GPL-3.0
Install Command
npm install -g @optave/codegraph
git clone https://github.com/shredEngineer/Archive-Agent && cd Archive-Agent && chmod +x install.sh && ./install.sh
Updated
2d ago
2w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Coding Assistant, Code Analysis, Dependency Graph
RAG, Semantic Search, Document Indexing
03

Features

codegraph logocodegraph
01Sub-second incremental rebuilds for an always-fresh dependency graph.
02Function-level code analysis, tracing calls and dependencies within and across files.
03Built for AI agents with a 19-tool Model Context Protocol (MCP) server for direct querying.
04Git diff impact analysis to show affected functions and callers from staged or unstaged changes.
05Embeddings-powered local semantic search for natural language queries.
Archive-Agent logoArchive-Agent
01Intelligent semantic AI search and natural language query of local documents.
02Natively indexes various document types including PDFs, images, Markdown, and plaintext, with automatic OCR and entity extraction.
03Supports multiple AI providers (OpenAI, OpenRouter, Ollama, LM Studio) for flexible model choice and privacy.
04Fully resumable parallel processing for scalable performance, leveraging AI cache and robust retry logic.
05Integrates with workflows via a built-in Model Context Protocol (MCP) server for tool access.
04

Use Cases

codegraph logocodegraph
↳Improve AI agent's understanding of codebase structure, eliminating repeated re-orientation.
↳Perform impact analysis before code changes, preventing silent bugs and dependency breakage.
↳Identify dead code and classify architectural roles (e.g., entry, core, utility) of symbols.
↳Facilitate semantic search for functions by natural language intent rather than exact names.
↳Detect and visualize circular dependencies at file or function levels to improve code quality.
Archive-Agent logoArchive-Agent
↳Quickly find information within a large collection of personal or work documents using natural language.
↳Digitize and make searchable scanned documents and images through automatic OCR.
↳Create a local, private RAG system for document analysis without sending data to external services.
↳Automate document processing and querying within an AI-powered workflow via the MCP interface.
↳Efficiently manage and search files across various directories and file types on your local machine.
FAQ

FAQ

What is the difference between codegraph and Archive-Agent?
Both codegraph and Archive-Agent are in the Vision / Multimodal category. codegraph has 99 stars, while Archive-Agent has 63 stars.
Which is better, codegraph or Archive-Agent?
The best choice depends on your use case. Choose codegraph if Improve AI agent's understanding of codebase structure, eliminating repeated re-orientation., and Archive-Agent if Quickly find information within a large collection of personal or work documents using natural language..
Is codegraph free or open source?
Yes, codegraph is open source on GitHub (Apache-2.0).
Is Archive-Agent free or open source?
Yes, Archive-Agent is open source on GitHub (GPL-3.0).
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Alternatives to codegraph →Alternatives to Archive-Agent →codegraph details →Archive-Agent details →