Kopai vs Switch: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Kopai and Switch — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Kopai
Kopai
Serverless cloud for building, hosting, and monetizing domain-specialized AI agents, with RAG, orchestration, and per-message billing handled for you.
Key features
- Prompt-to-Agent Builder: Write a prompt, upload documents, and try several models side by side — seven steps from blank page to a shipped agent.
- Managed Infrastructure: Kopai holds the model keys, runs the vector database, and keeps the servers alive; you get an endpoint and a readable bill.
- Agent Marketplace: List an agent and get paid per message, keeping 70% of your markup, with every charge logged in an auditable ledger.
- Multi-Model Gateway: One integration across GPT-4o, Kimi K2, Gemini 2.5, Qwen 3, and DeepSeek, switchable at any time.
- Automatic Document Indexing: Upload PDF, DOCX, or XLSX files and Kopai indexes them and handles retrieval behind the scenes.
- Resilient Streaming: Answers resume from where they stopped after a dropped connection or closed tab, with no tokens lost.
- Conversational Agent Creation: Describe the job in ordinary chat and Kopai drafts the agent, picks its organization, and finishes on your approval.
- Kopai for Teams: Seats and roles, team-private agents, shared knowledge, and usage numbers you can check.
Best for
- A lawyer packages case-preparation expertise into an agent and sells access on the marketplace instead of billing hours.
- A consultant turns a library of internal documents into a domain expert clients can query directly.
- A solo creator wants to ship a RAG agent without standing up a vector database or backend service.
- A SaaS company embeds a specialized agent in its own product while letting Kopai handle billing and payouts.
- A team needs private internal agents with role-based access over a shared knowledge base.
- A developer wants to test the same agent across several model providers before committing to one.
Switch
Flint AI
Shared workspace that puts human teammates and AI agents in the same room, preserving context and history across handoffs.
Key features
- Shared Rooms: People, agents, decisions, and work history live in one persistent room so context survives handoffs between sessions and teammates.
- Agent Framework Support: Works with Claude Code, LangChain, Google ADK, OpenAI, Amazon Bedrock, and custom agents without migration or lock-in.
- Messaging Connectors: Brings agent collaboration into Slack, Microsoft Teams, Discord, and Mattermost where teams already work.
- Cross-Platform Desktop Console: Native downloads for macOS Apple Silicon and Intel, Windows x64, and Linux as AppImage or Debian package.
- Extensible Integrations: Designed to connect to whatever additional tools a team already relies on.
- Fast Deployment: Set up in minutes on top of existing agents rather than rebuilding workflows around a new platform.
Best for
- An engineering team wants Claude Code and a research agent to share the same project context instead of re-explaining it to each.
- A company running agents from several vendors needs one coordination layer that does not lock it into a single provider.
- A team already living in Slack or Discord wants to invite agents into existing channels rather than adopt a new app.
- A project handed between two people needs the agent work history to carry over intact.
- An operations lead wants a durable record of what agents decided and why, auditable after the fact.
- A developer evaluating agent frameworks wants a neutral room to run several side by side on the same task.