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DimensionOrkasOpen-source, local-first multi-agent AI desktop client — command your AI agent team with chat.Firecrawl MCP ServerFirecrawl's official MCP server for web search, scraping, and structured extraction for AI agents
FMRS51 / 100 · D75 / 100 · B
Reliability8 / 2013 / 20
Security and permissions10 / 2012 / 20
Maintenance11 / 2016 / 20
Documentation12 / 2017 / 20
Setup experience10 / 2017 / 20
Best for
  • People who want a team of specialist agents coordinated by a Commander rather than a single chatbot
  • Users who insist their data, keys, and agents stay on their own disk instead of a vendor cloud
  • Users who want to mix multiple model providers or local model endpoints
  • Users who want agents with private skills and memory that improve through reflection
  • Scenarios needing clean, structured web context fed to an AI assistant
  • Users already on the Firecrawl platform who want to call its scraping capability directly via MCP
Not for
  • People who just want a single all-purpose chatbot
  • Users who want a fully hosted/cloud multi-agent team and don't mind their data living on a vendor's servers
  • Developers who want a pure code library to embed in their own app (e.g. LangChain or CrewAI-style frameworks)
  • Users who cannot run Node 20+ or are on musl-based distributions such as Alpine
  • Simple static-page scraping where you don't want to depend on a third-party API and incur call costs
  • Sites that explicitly disallow automated access (robots.txt)
Required permissions
  • Read and write a local workspace directory (~/.orkas/ on macOS/Linux, <smallest non-system drive>:\.orkas\ on Windows)
  • Store conversations, files, knowledge bases, custom agents, and API keys on your local disk
  • Outbound network access to the model provider endpoints you configure (and to cloud embedding providers if you choose them)
  • Run external CLI coding agents (Claude Code, Codex, OpenCode, Cline) as local subprocesses
  • Download and verify local resources on first launch (embedding model ~95 MB, whisper.cpp runtime and multilingual speech model, FFmpeg, OfficeCLI, and others)
  • Requires a Firecrawl API key to call; cost and quota are governed by the Firecrawl account
  • firecrawl_agent/firecrawl_interact perform automated browser interaction, which may trigger login or form-submission flows on the target site
Risks and side effects
  • API keys are stored on your machine's disk and can be read by any process or person with access to that account or device, so OS account security and disk encryption matter
  • The Commander can drive external CLI coding agents and run them as local subprocesses, so a model may take actions with side effects; scope the working directory and permissions yourself
  • Building from source installs a large dependency tree and prepares native runtimes, making first launch long and network-dependent
  • On Linux, only glibc 2.34+ x64/arm64 is supported; Alpine and other musl-based distributions are not
  • The packaged desktop app asks you to sign in on first launch; avoiding any account layer means using the source build in this repository
  • The optional built-in Orkas model is billed by Orkas in credits, so paths other than your own keys incur additional cost
  • Bulk crawl/map tools can generate significant request volume against a target site — respect the site's rate limits and terms of service
  • firecrawl_agent's interactive action chain is longer — define task boundaries clearly before running it to avoid accidentally triggering actions on a sensitive site
Supported clientsClaude Desktop, VS Code, Cursor, Windsurf, Zed, Amp
Tools611