Stably Orca vs SearXNG AI Kit

Detailed side-by-side comparison to help you choose the right tool

Stably Orca

🔴Developer

developer-tools

Desktop AI orchestrator by Stably that runs multiple coding agents side-by-side, each in its own isolated git worktree, tracked in one place.

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Starting Price

$0 (self-hosted)
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SearXNG AI Kit

🔴Developer

developer-tools

A standalone CLI, Python library, and MCP server that packages the SearXNG privacy-respecting metasearch engine — 180+ search engines with AI research features, no server setup needed.

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Starting Price

Free
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Feature Comparison

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FeatureStably OrcaSearXNG AI Kit
Categorydeveloper-toolsdeveloper-tools
Pricing Plans1 listed plan1 listed plan
Starting Price$0 (self-hosted)Free
Key Features
  • • Run multiple coding agents side-by-side, each in its own isolated git worktree
  • • Fan one prompt across agents in parallel and merge the winner
  • • Works with any CLI agent (Claude Code, Codex, Cursor, Copilot, Cline, and many more)
  • • Standalone SearXNG — no server to run; pre-built binaries for Linux and macOS
  • • Search across 180+ engines with categories, language, time range, and safe-search filters
  • • MCP server with web_search, multi_web_search, fetch_url, fetch_urls, and ask tools

Stably Orca - Pros & Cons

Pros

  • ✓Wraps any CLI agent — vendor-neutral so it stays useful as the coding-agent market churns
  • ✓Isolated git worktrees per agent make parallel experimentation genuinely safe
  • ✓Design Mode collapses the screenshot-plus-CSS-plus-prompt loop into a single click
  • ✓SSH remote worktrees let expensive agent runs live on beefier hardware
  • ✓Mobile companion means you can monitor and steer agents without being at the desk

Cons

  • ✗Desktop-only — no browser or hosted control plane if your primary workstation is locked down
  • ✗No MCP support currently — integration is CLI and Orca-CLI-based
  • ✗Running multiple frontier agents in parallel multiplies your token bill quickly
  • ✗Design Mode requires the Chromium browser inside Orca; it does not observe external browsers
  • ✗Newer entrant — configuration and workflow patterns are still solidifying compared to established IDEs

SearXNG AI Kit - Pros & Cons

Pros

  • ✓Zero server setup — a single binary replaces a hosted SearXNG deployment
  • ✓MCP server ships with sensible tools (single, parallel, fetch, ask) and a copy-paste Claude Desktop config
  • ✓CLI Proxy API integration lets you use existing subscription tiers instead of paying per-token
  • ✓Jina.ai-based fetch produces clean readable content instead of raw JS-heavy HTML
  • ✓Free and open source with a Python library for programmatic use

Cons

  • ✗Windows binaries not available — Linux or macOS only
  • ✗Aggregate rate-limiting from 180+ upstream engines still applies — you can get temporarily blocked
  • ✗SearXNG's AGPL-3.0 license means redistribution of modifications has copyleft implications for downstream projects
  • ✗The 'ask' MCP tool routes recursively through the model — heavy queries can burn a lot of tokens
  • ✗Not officially maintained by upstream SearXNG; it's a nikvdp community project

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