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

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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

Custom

Feature Comparison

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FeatureStably OrcaSearXNG AI Kit
Categorydeveloper-toolsdeveloper-tools
Pricing Plans6 tiers6 tiers
Starting Price
Key Features

      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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