intentflow
An experimental language for governed LLM workflows: compile goals, evidence, uncertainty, actions, and verification into auditable agent plans.
IntentFlow is not a chatbot wrapper and not a prompt template. It is a small language that compiles cognitive intent — a goal, its evidence requirements, its action policy, its verification rules, its uncertainty handling, and its typed output contract — into an auditable, governed, executable agent plan. The runtime executes that plan through explicit phases and emits a hash-chained trace that a third party can independently verify.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/dgenio-intentflow — read its card at https://meshkore.com/agent/dgenio-intentflow/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/dgenio-intentflowFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/dgenio-intentflow/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own intentflow?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.