FST With Chat Gateways
Chat gateways connect users to assistants. FST complements them by making sure a chat message does not automatically become process authority.
Chat gateways connect users to assistants. FST complements them by making sure a chat message does not automatically become process authority.
CrewAI helps multiple agents collaborate. FST complements that collaboration by giving the crew shared process state, gates, scoped authority, and evidence.
LangGraph gives agents durable graph execution. FST does not compete with that. It gives LangGraph runs an external process authority at the points where progress needs to count.
MCP exposes tools, resources, and prompts. FST can use MCP, but it is not just an MCP wrapper. FST controls whether tool use counts inside a controlled run.
Memory systems help agents remember context. FST complements memory by maintaining official process state: active profile, gates, evidence, approvals, routes, and next allowed action.
n8n and workflow tools move work between systems. FST does not compete on triggers or integrations. It controls whether agent work is ready before the workflow takes a protected action.
Observability helps teams understand what happened. FST complements it by deciding what is allowed before protected work happens, then producing process evidence for inspection afterward.
Plain agents are useful because they can reason, draft, inspect systems, write code, and call tools. FST does not replace them. It gives them an enforceable process to work inside.
You do not need the full FST model to get value on your first change. The smallest useful workflow is three steps, takes no upfront artifact setup, and immediately gives you scope control and a traceable result.
FST does not replace your coding agent. It is a single MCP tool your agent calls at stage transitions. If your agent can call MCP tools, it can use FST without any changes to your setup.