Tools you use to build or host your own agents. They are not finished assistants.
Developers and technical teams who want to design agent behaviour themselves.
What to check first: What you must build and run yourself: permissions, testing, monitoring and model costs.
A developer framework for long-running, stateful agents.
LangChain documents LangGraph as a low-level runtime for long-running stateful agents, including durable execution and human-in-the-loop support.
Documentation researchedPricing: Open-source framework; model, hosting and LangSmith costs are separate
Best fit: Developers implementing stateful agent workflows.
Microsoft's platform for building and governing agents on business data.
Microsoft describes Copilot Studio as a platform for creating and managing agents connected to business data and published across channels.
Documentation researchedPricing: $200 per pack per month for 25,000 credits; pay-as-you-go options
Best fit: Teams building business-data agents for several channels.
A hosted persistent computer for developers' own agents, over MCP.
Case gives an AI agent its own persistent Linux desktop that keeps logins, files and memory between sessions, driven over MCP from tools such as Claude Code, Codex or Cursor. It is not an assistant on its own: you bring the model and the key.
Documentation researchedPricing: $29/month, one plan; you bring your own LLM key (vendor pricing)
Best fit: Developers who want an agent to keep logged-in sessions and files between runs, for jobs such as scheduled browser tasks, and who are comfortable running or paying for the machine and supplying their own model key.
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