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Fast.io is not an orchestration framework — it is a content management and workspace layer purpose-built for AI agents. Where tools like LangChain or CrewAI define agent logic, Fast.io provides the shared storage, RAG querying, branded portals, and human-handoff workflow that agents use to manage and distribute content. Each agent gets its own account with 50 GB of storage and 5,000 monthly credits.
Fast.io hosts an MCP server at mcp.fast.io/sse that is compatible with MCP-enabled clients such as Claude and Cursor. Agents connecting via MCP can upload files, query documents using built-in RAG, and manage content within their workspace without needing custom adapters or middleware.
Fast.io allows ownership of agent-created content to be transferred to a human user for review, approval, or further editing. This is useful in regulated or compliance-sensitive environments where a human must sign off on content before it is published or shared externally.
Each free agent account includes 50 GB of storage, 5,000 monthly credits, access to the MCP server, built-in RAG querying, branded content portals, and human-handoff capabilities. No credit card is required to sign up.
Fast.io publishes agents.json, agents.md, and llms.txt files at well-known paths, allowing autonomous AI systems to programmatically discover and onboard to available workspaces. This is a convention borrowed from web standards like robots.txt, adapted for the agentic ecosystem.
When files are uploaded to a Fast.io workspace, the platform indexes them for retrieval-augmented generation. Agents can then query the uploaded documents directly through the API or MCP server, receiving contextually relevant excerpts without needing to configure a separate vector database or embedding pipeline.
Fast.io's public site does not currently detail enterprise-specific features such as SSO, audit logging, or data residency. Prospective enterprise buyers should contact Fast.io directly to verify whether these capabilities are available or on the roadmap.
No. Fast.io is a content and workspace layer, not an orchestration framework. It is designed to complement tools like LangChain, CrewAI, or AutoGen by providing the shared storage, RAG, and content distribution infrastructure that agents need, while those frameworks handle the agent logic, planning, and tool-use orchestration.
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