GNO vs Kotaemon

Verdict: Kotaemon is UI-first for document Q&A. GNO is a local knowledge workspace with stronger CLI/API/agent surfaces and a broader day-to-day workflow around search, browse, graph, and editing.

Both tools provide semantic search for local documents with AI-powered RAG features. Here’s how they compare when the question is “document Q&A app” versus “search + workspace + agent memory.”

At a Glance

  • Choose Kotaemon if you want a document Q&A interface with rich citation previews and cloud-model flexibility.
  • Choose GNO if you want retrieval, browse, graph, CLI/API access, and AI-agent integration around the same local corpus.
  • Kotaemon is Q&A-first. GNO is workspace-first.

Get Started

# GNO
bun install -g @gmickel/gno
gno init ~/notes --name notes && gno index

# Kotaemon (Docker)
docker run -p 7860:7860 ghcr.io/cinnamon/kotaemon:main-lite

# Kotaemon (pip)
pip install kotaemon

Quick Summary

Aspect GNO Kotaemon
Best for Developers, AI agents Document Q&A with citations
Unique strength CLI, MCP, REST API Citation UI, multi-modal
Stack Bun/TypeScript Python/Gradio
License MIT Apache-2.0

Feature Comparison

Feature GNO Kotaemon
Search Modes BM25, Vector, Hybrid Full-text, Vector, Hybrid
Reranking ✓ Cross-encoder ✓
Citations ✓ Source links ✓ In-browser PDF preview
CLI ✓ Full-featured ✗
Web UI ✓ gno serve ✓ Gradio
REST API ✓ ✗
Headless Daemon ✓ gno daemon ✓ Server mode
MCP Support ✓ ✗
Multi-modal ✗ ✓ Figures, tables
Query Expansion ✓ LLM-powered ✗
HyDE ✓ ✗
Model Presets ✓ slim/balanced/quality ✗
Search Depth ✓ fast/balanced/thorough ✗

File Format Support

Format GNO Kotaemon
Markdown ✓ ✓
PDF ✓ ✓ Native
DOCX ✓ ✓ (Unstructured)
XLSX ✓ ✓ Native
PPTX ✓ ✗
HTML ✗ ✓ Native
MHTML ✗ ✓ Native

LLM Support

Provider GNO Kotaemon
Local (llama.cpp) ✓ Built-in ✓ llama-cpp-python
Ollama ✗ ✓
OpenAI ✗ ✓
Azure OpenAI ✗ ✓
Cohere ✗ ✓

GNO Advantages

GNO wins when the documents need to be useful outside a single question-answer UI.

CLI-first design: Full-featured command line for scripting and automation.

gno query "authentication flow" --format json | jq '.results[0]'

MCP integration: One-command setup for Claude, Cursor, Windsurf, and more.

gno mcp install --target cursor

Headless indexing: Keep retrieval hot for scripts or AI assistants without running the full workspace UI.

gno daemon

REST API: Programmatic access for custom integrations.

gno serve  # http://localhost:3000/api

Search refinement: Query expansion, HyDE, and configurable search depth.

gno ask "how does caching work" --depth thorough --answer

Skills: Native integration for Claude Code, Codex, OpenCode, OpenClaw.

Incremental indexing: SHA-256 tracking, only re-indexes changed files.

Kotaemon Advantages

Kotaemon wins when citation presentation and document-Q&A UI are the main event.

Advanced citations: In-browser PDF viewer with highlighted passages and relevance scores. See exactly where answers come from.

Multi-modal support: Extract and query figures and tables from documents. Parse complex document layouts.

Cloud LLM support: Works with OpenAI, Azure, Cohere out of the box. No local model download required.

Gradio extensibility: Customize UI with Gradio components. Theming via kotaemon-gradio-theme.

Docker-ready: Multiple Docker images (lite, full, ollama) for quick deployment.

When to Choose GNO

  • You want CLI access for scripting and automation
  • You need REST API for custom integrations
  • You’re integrating with AI coding assistants (Claude, Cursor, Windsurf)
  • You want MCP support for agent workflows
  • You prefer local-first, no cloud dependencies
  • You need fine-grained search control (depth, expansion, HyDE)

When to Choose Kotaemon

  • You want a visual UI for document Q&A
  • You need to see citations highlighted in PDF context
  • You have documents with complex figures and tables
  • You want to use cloud LLMs (OpenAI, Azure, Cohere)
  • You prefer Python ecosystem and Gradio
  • You need multi-modal document parsing

Architecture Comparison

GNO: TypeScript/Bun, SQLite + node-llama-cpp, designed for CLI and MCP integration. Single-user, local-first.

Kotaemon: Python/Gradio, supports multiple LLM backends, designed for interactive document Q&A. Can run locally or containerized.

Next Steps