Orkas-AI/Orkas
Open-source multi-agent AI desktop client — build and command your AI agent team through conversation. A commander LLM dispatches sub-agents in parallel or in series; agents self-evolve via reflection and skill crystallization. Local-first, BYO LLM keys (Claude · OpenAI · Gemini · DeepSeek · Kimi · GLM · Qwen). macOS / Windows / Linux. observed · 2026-08-28
Health v2 · maintenance only
81/100
- Activity 99
- Release rhythm 99
- Longevity 9
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 8.0
- age_days: 126
- days_rel: 8
- days_push: 7
- n_releases_24m: 15
Adoption not part of the score
1453 stars · 66 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Orkas is an open-source, local-first multi-agent desktop application where a Commander LLM plans goals and dispatches specialist sub-agents in parallel or sequence. It ships with nine built-in agents (research, writing, slides, video, office files, coding, etc.), supports MCP, and lets users bring their own LLM keys from providers like Claude, OpenAI, Gemini, and DeepSeek.
Use cases
- orchestrate a team of AI agents from a single chat
- research competitors and generate a report and slide deck automatically
- delegate parallel AI sub-tasks to specialist agents
- build documents, presentations, and videos with AI agents
- connect my own LLM API keys to a desktop AI assistant
- run MCP tools and external CLI agents in a multi-agent workflow
- automate multi-step business workflows with self-evolving agents
When to choose
- you want one conversational interface to coordinate multiple specialized AI agents rather than juggling separate chatbots
- you need real file deliverables like reports, PPTX decks, videos, or office documents produced end-to-end
- you prefer local-first desktop software with bring-your-own model keys across many providers
- you want MCP support and a marketplace of ready-made agents and skills
When to avoid
- you need a lightweight CLI or headless agent framework to embed in your own codebase
- you require fully offline operation with no LLM API usage or credits
- you want a simple single-chatbot assistant without multi-agent orchestration overhead
- you need guaranteed enterprise SLAs or mature long-term stability from a young project
Facets
application · maturity active
agent-framework chat-interface mcp llm-inference workflow-automation chatbot large-language-models developer-tools windows cross-platform multi-agent agent-orchestration commander-pattern byo-llm local-first self-evolving-agents ai-team electron-app mcp-client agent-marketplace ai-agents automation macos linux desktop electron
4 sources
- readme: https://github.com/Orkas-AI/Orkas · fetched 2026-08-28 · 730b56f0c7d1
- homepage: https://orkas.ai?source=github · fetched 2026-08-29 · b3272d66abac
- site_page: https://orkas.ai/docs · fetched 2026-08-29 · ba1e587ac3c5
- site_page: https://orkas.ai/pricing · fetched 2026-08-29 · f2ba446e9025
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Orkas-AI/Orkas | main | 81 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem