agent-library

★ 33

pdf-mcp

★ 155

agent-library vs pdf-mcp

Q: Which is better, agent-library or pdf-mcp?

By GitHub stars, pdf-mcp has more community adoption, but the best choice depends on your specific use case.

agent-library: Agent Library provides AI agents with persistent storage for text, documents, and knowledge using SQLite with vector search (sqlite-vec) and full-text search (FTS5). It supports hybrid search combining semantic and keyword matching, configurable embedding models, and offers both CLI and MCP server interfaces for integration.; pdf-mcp: pdf-mcp is a Model Context Protocol (MCP) server that enables AI agents to read, search, and extract content from PDF files. It uses PyMuPDF for PDF parsing, SQLite for persistent caching, and supports hybrid search combining BM25 keyword and semantic embeddings, OCR for scanned documents, and structured extraction of tables and images.

TL;DR

agent-libraryVision / Multimodal · ★ 33

Storing and retrieving agent memories across conversations

Read agent-library full review →

pdf-mcpVision / Multimodal · ★ 155

Efficiently read and analyze large PDF documents without exceeding context limits

Read pdf-mcp full review →

Side-by-Side Comparison

Field

agent-library

pdf-mcp

Features

agent-library

01Persistent knowledge storage for AI agents

02SQLite with sqlite-vec for vector search

03Full-text search using FTS5 with BM25 ranking

04Hybrid search combining semantic and keyword matching

05Configurable embedding models (local or OpenAI-compatible API)

pdf-mcp

01Hybrid search (BM25 keyword + semantic embeddings) with Reciprocal Rank Fusion

02Paginated reading to avoid context overflow

03OCR support for scanned and image-based PDFs via Tesseract

04Structured extraction of tables, images, and table of contents

05Persistent SQLite cache with automatic invalidation

Use Cases

agent-library

↳Storing and retrieving agent memories across conversations

↳Searching documents, code, and PDFs with semantic understanding

↳Building context-aware AI assistants with persistent knowledge

pdf-mcp

↳Efficiently read and analyze large PDF documents without exceeding context limits

↳Search for specific content or concepts within PDFs using natural language

↳Extract structured data such as tables and images from PDFs

FAQ

What is the difference between agent-library and pdf-mcp?

Both agent-library and pdf-mcp are in the Vision / Multimodal category. agent-library has 33 stars, while pdf-mcp has 155 stars.

Which is better, agent-library or pdf-mcp?

The best choice depends on your use case. Choose agent-library if Storing and retrieving agent memories across conversations, and pdf-mcp if Efficiently read and analyze large PDF documents without exceeding context limits.

Is agent-library free or open source?

Yes, agent-library is open source on GitHub (Apache-2.0).

Is pdf-mcp free or open source?

Yes, pdf-mcp is open source on GitHub (MIT).

Cloud Infrastructure

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Alternatives to agent-library →Alternatives to pdf-mcp →agent-library details →pdf-mcp details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

Deploy on DigitalOcean

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