Orca by Stably vs SearXNG AI Kit

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

Orca by Stably

🔴Developer

developer-tools

Free, open-source Agent Development Environment (ADE) that runs multiple CLI coding agents like Claude Code, Codex, and Cursor side-by-side, each in its own isolated git worktree, tracked in one desktop app.

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Starting Price

Free
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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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FeatureOrca by StablySearXNG AI Kit
Categorydeveloper-toolsdeveloper-tools
Pricing Plans1 listed plan1 listed plan
Starting PriceFreeFree
Key Features
  • • Run any CLI coding agent (Claude Code, Codex, Cursor, Copilot, and more) side-by-side
  • • Isolated git worktrees per agent with fan-out prompts and merge-the-winner workflow
  • • WebGL terminal splits, VS Code-style editor, and embedded Chromium browser with Design Mode
  • • 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

Orca by Stably - Pros & Cons

Pros

  • ✓Run any CLI coding agent (Claude Code, Codex, Cursor, Copilot, and more) side-by-side. This directly supports the primary workflow.
  • ✓Isolated git worktrees per agent with fan-out prompts and merge-the-winner workflow.
  • ✓WebGL terminal splits, VS Code-style editor, and embedded Chromium browser with Design Mode.
  • ✓Native GitHub and Linear task workflows plus AI-diff annotation.

Cons

  • ✗Plan prices can omit usage overages, model-provider charges, implementation work, taxes, or required seats.
  • ✗Features and limits can change by plan, billing interval, region, and release; verify current documentation.
  • ✗No native MCP support is documented in this record, so agent workflows may require API work or another integration layer.
  • ✗A representative pilot is necessary because a feature list does not establish reliability or operational fit.

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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Review Orca by StablyReview SearXNG AI Kit