agency-orchestrator vs Orkas
agency-orchestrator: Agency Orchestrator enables multiple AI roles to automatically collaborate on complex tasks. Users simply describe their goal, and the system decomposes it, selects from 179 professional roles, and executes a directed acyclic graph (DAG) workflow in parallel. It supports 9 LLM providers, 6 of which require no API key, and offers both CLI and MCP Server modes for integration with AI coding tools.; Orkas: Orkas is an open-source, local-first multi-agent desktop app. A Commander agent plans a goal and coordinates specialist agents, and can also drive external CLI agents such as Claude Code, Codex and OpenCode as local sessions. Conversations, files and API keys stay on your disk, and model calls go straight from your machine to the provider.
TL;DR
Business plan generation (e.g., TikTok e-commerce opportunity analysis)
- You want a desktop app where one chat coordinates several agents, instead of writing orchestration code.
- You already use Claude Code, Codex or OpenCode and want one place to dispatch work to them.
- You want your data, keys and agents on your own disk, with your own model keys.
- You only want a single all-purpose chatbot; the README itself says Orkas is not for that.
- You want a code library to embed in your own app, or a fully hosted team: the README lists both as not a fit.
- You need Linux packages today: it runs from source on glibc 2.34+ only.
Side-by-Side Comparison
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