7 Best localGPT Alternatives in 2026 (Open Source)
localGPT — Chat with your documents on your local device using GPT models. No data leaves your device and 100% private. . vs PrivateGPT / other local RAG: hybrid search engine (semantic + keyword + Late Chunking) with smart query routing and independent answer verification — pure Python, minimal framework dependencies
Short answer
- Closest match to localGPT: private-gpt.
- Most actively developed: ragflow (2,666 commits in the last 90 days).
- Fastest growing: ragflow (+2,402 GitHub stars in the last 30 days).
- No commit in 6+ months: Quivr and MNMA.
These 7 open-source tools do the same job. They are ordered by how closely they match localGPT, with live GitHub data so you can see which projects are actively maintained.
By package downloads llmware is the most used here (1.3K in the last 30 days), even though ragflow has the most GitHub stars. See all agent tools by downloads.
| Tool | GitHub stars | Stars / 30d | Last commit | Downloads / 30d |
|---|---|---|---|---|
| localGPT(original) | 22.2k | -4 | 2026-08-21 | — |
| private-gpt | 57.6k | +56 | 2026-09-21 | — |
| AnythingLLM | 66.7k | +1,548 | 2026-10-02 | — |
| ragflow | 91.6k | +2,402 | 2026-10-02 | — |
| Quivr | 39.6k | +80 | 2025-06-19 | — |
| DocsGPT | 18.3k | +80 | 2026-10-03 | 1.2K |
| MNMA | 1.0k | +2 | 2026-01-22 | — |
| llmware | 14.8k | -6 | 2026-10-01 | 1.3K |
1. private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
What sets it apart: vs LocalGPT / other private RAG: production-ready OpenAI-compatible API with LlamaIndex backend, dependency injection architecture, and enterprise upgrade path via Zylon — canonical repo (zylon-ai/private-gpt) for PrivateGPT
Best for: Regulated industries needing fully private document Q&A (healthcare, legal, finance); Teams wanting an OpenAI-compatible API for private RAG; Developers building private AI apps with production-ready primitives
2. AnythingLLM
The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.
What sets it apart: Unlike Open WebUI (chat-only) or RAGFlow (enterprise RAG focus), AnythingLLM is the most complete all-in-one desktop AI app combining RAG, no-code agent builder, MCP compatibility, multi-user support, and embeddable widgets — requiring zero coding to set up a private AI workspace.
Best for: Non-technical users who want a private, all-in-one ChatGPT replacement with document chat and agents; Small teams needing a self-hosted multi-user AI workspace with RAG and agent capabilities
3. ragflow
Open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs
What sets it apart: Unlike LlamaIndex (framework, assemble-yourself) or AnythingLLM (desktop all-in-one), RAGFlow is a purpose-built enterprise RAG engine with deep document understanding (OCR, table extraction, layout analysis), template-based chunking with human visualization, and grounded citations — focused on quality-in-quality-out for complex enterprise documents.
Best for: Enterprises needing production RAG with deep document parsing, grounded citations, and traceable answers; Organizations with complex document types (scanned PDFs, tables, mixed formats) requiring high-fidelity extraction
4. Quivr
An opinionated RAG framework for integrating GenAI into apps with multiple LLMs and file formats
What sets it apart: YC-backed RAG framework that trades flexibility for speed-to-production — 5 lines of code to a working knowledge assistant, with YAML-configurable workflows and built-in reranking, vs LangChain's component-by-component assembly
Best for: Building personal or team knowledge assistants quickly; Product teams wanting production-ready RAG with minimal configuration; Document Q&A applications with multi-format support
5. DocsGPT
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Best for: Enterprise teams building private document Q&A systems; Organizations needing on-premise AI deployment with data privacy control; Teams requiring multi-format document ingestion including audio workflows
6. MNMA
On-premises conversational RAG with configurable containers
What sets it apart: vs cloud RAG (ChatGPT retrieval/Perplexity): four deployment modes from fully local to cloud-integrated, with MCP protocol for IDE integration — data stays on-premises
Best for: Organizations needing sensitive document search without cloud exposure; Teams wanting flexible RAG with local-to-cloud deployment spectrum
7. llmware
Unified framework for building enterprise RAG pipelines with small, specialized models
What sets it apart: Purpose-built for local/private enterprise AI with 300+ pre-quantized models and a complete RAG pipeline that runs on laptops and edge devices, vs cloud-first frameworks like LangChain or LlamaIndex
Best for: Enterprise teams building private, on-device LLM applications; Knowledge-intensive RAG workflows with multi-format document ingestion; Edge and AI PC deployments requiring optimized inference
FAQ
- What are the best alternatives to localGPT?
- The closest open-source alternatives to localGPT are private-gpt, AnythingLLM and ragflow, followed by Quivr, DocsGPT and MNMA. They are ranked by how closely they match what localGPT does.
- Which localGPT alternative is the most popular?
- ragflow has the most GitHub stars among localGPT alternatives, with 91,619 stars.
- Which localGPT alternative is the most actively maintained?
- By recent activity, ragflow (2,666 commits in the last 90 days) is the most actively developed alternative.
Maintain localGPT or one of these alternatives?
Each tool page has a maintainer box: a README badge with your live rank and stars, or a homepage + category feature for $49 / 7 days.
localGPT · private-gpt · AnythingLLM · ragflow · Quivr · DocsGPT