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docmind-ai-llm

BjornMelin/docmind-ai-llm

Open-source Streamlit application for advanced offline document analysis using LLMs

GitHub Website

GraphCanon updated Aug 13, 2026 · GitHub synced Aug 13, 2026

27views this month

147 stars27 forksLast push Aug 12, 2026 Python MIT

Decision brief

DocMind AI is an open-source Python application using local Large Language Models for offline document analysis. It supports various file formats and offers secure and private insights extraction.

Good fit when

- When you need to analyze documents securely and privately, ensuring that all processing happens offline.
- For advanced document analysis tasks requiring the use of local LLMs such as Ollama, LMStudio, llama.cpp, or vLLM without internet access.

Avoid when

- When working in non-POSIX compliant OSes such as native Windows, where functionalities involving searchability in PDFs are unsupported.
- For deployments requiring cloud-based or internet-accessible models; here DocMind's focus on local LLMs and offline processing is a limitation.

Hosting:: self hosted - DocMind AI operates in an entirely self-hosted manner, ideal for environments requiring local model operation without internet dependencies.
Pricing:: freemium - Being open-source under MIT license, DocMind AI is free to use. However, additional setup and processing power are required.
Requirements:: - The tool requires specific libraries such as LlamaIndex, LangGraph, Streamlit, Ollama, Qdrant Client, among others.

Observed Jul 17, 2026 · Source: enrich:decision_facts

docmind-ai-llm alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (1d since push); As of Aug 13, 2026
Provenance: Not a fork · Personal account; As of Aug 13, 2026
Security (OSV): No lockfile; As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install docmind-ai-llm

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

DocMind AI uses local Large Language Models and various tools to analyze documents securely offline.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Aug 13, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Aug 13, 2026
Languages: python
Source: github.language+pyproject.toml · Aug 13, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

LangGraph integrationLangGraph

Source: README excerpt (regex_v1, Aug 13, 2026)

- **LangGraph (>=1.0.10,<2.0.0)**: Four-worker supervisor orchestration (graph-native `StateG

Source link

Python runtimePython

Source: README excerpt (regex_v1, Aug 13, 2026)

uv run python tools/models/pull.py \

Source link

README

Installation 1. Clone the repository: 2. Install dependencies: Install the optional observability extra for LlamaIndex OpenTelemetry instrumentation: Searchable PDF export is POSIX only (Linux, macOS, or WSL2; native Windows is unsupported) and requires the OCRmyPDF and Tesseract...

For agents

This page has a .md twin and JSON over the API.

/tools/bjornmelin-docmind-ai-llm.md GET /api/graphcanon/tools/bjornmelin-docmind-ai-llm GET /api/graphcanon/graph?tool=bjornmelin-docmind-ai-llm