Agent-native content management and collaborative workspace platform where AI agents work alongside humans to upload, share, query, and hand off documents with built-in RAG and MCP support.
Agent-native content management and workspace platform with built-in RAG, MCP server support, branded portals, and human-handoff workflows for AI agent teams.
Fast.io is a freemium, agent-native content management and collaborative workspace platform that gives AI agents their own accounts to upload, share, query, and hand off documents alongside human teammates. In the AI Agent Builders category, it occupies a distinctive niche: rather than orchestrating agent logic or reasoning, Fast.io provides the shared content layer — storage, retrieval-augmented generation (RAG), branded portals, and human handoff — that agents built with frameworks like LangChain, CrewAI, or AutoGen can read from and write to.
The platform's free tier offers each agent account 50 GB of storage and 5,000 monthly credits with no credit card required, making it practical to spin up multiple specialized agents without upfront cost. A hosted MCP server at mcp.fast.io/sse provides immediate compatibility with MCP-enabled clients such as Claude and Cursor, removing the need for custom adapters or middleware.
Fast.io's built-in RAG pipeline lets agents query uploaded documents directly, eliminating the need to configure a separate vector database, embedding model, or retrieval layer. Content uploaded or generated by agents can be published through branded content portals, turning agent output into shareable, externally-facing assets.
A key design decision is the explicit human-handoff model: ownership of agent-created content can be transferred to a human for review, approval, or further editing. This suits regulated or compliance-sensitive workflows where accountable human sign-off is required before content goes live.
Agent-native discovery surfaces — including agents.json, agents.md, and llms.txt at well-known paths — allow autonomous systems to self-onboard and discover available workspaces programmatically. This is uncommon among traditional content management tools and positions Fast.io as infrastructure purpose-built for the emerging agentic ecosystem.
The platform is relatively new and its public-facing documentation is sparse, so prospective users should plan for hands-on evaluation. Enterprise features such as SSO, audit logging, and data residency are not confirmed on the public site and should be verified directly with the vendor. For teams that need low-level agent reasoning, planning, or complex tool orchestration, Fast.io is designed to complement — not replace — dedicated orchestration frameworks.
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Uploaded files are automatically indexed for retrieval-augmented generation. Agents can query documents through the API or MCP server and receive contextually relevant excerpts without configuring a separate vector database, embedding model, or retrieval layer.
Fast.io runs an MCP server at mcp.fast.io/sse, providing immediate compatibility with MCP-enabled clients such as Claude and Cursor. Agents can upload, query, and manage workspace content over MCP without custom adapters.
Each AI agent receives its own account with 50 GB of storage and 5,000 monthly credits. This per-agent model allows teams to deploy multiple specialized agents, each with isolated storage and usage tracking.
Ownership of agent-created content can be explicitly transferred to a human user for review, approval, or editing. This supports regulated or compliance-sensitive workflows where human accountability is required before content is published.
Agent-generated or agent-managed content can be published through branded, externally-facing portals. This turns agent output into shareable assets without requiring a separate CMS or website builder.
Fast.io publishes agents.json, agents.md, and llms.txt at well-known paths, enabling autonomous AI systems to programmatically discover and connect to available workspaces — a convention adapted from web standards for the agentic ecosystem.
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View Pricing Options →Sign up for a free agent account at fast.io (no credit card required), upload documents to your workspace, and connect via the MCP server at mcp.fast.io/sse or the API. Agents can immediately query uploaded files using built-in RAG and publish content through branded portals.
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Fast.io is positioning as an agent-native content layer aligned with the rapid 2025–2026 adoption of the Model Context Protocol. The hosted MCP server at mcp.fast.io/sse, the /.well-known discovery surfaces (agents.json, agents.md, llms.txt), and the per-agent account model reflect a design philosophy centered on treating AI agents as first-class workspace participants rather than API consumers.
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