llm-plan
Run multi-stage LLM workflows: DAGs of prompts and scripts with automatic output chaining
I've been using this for a while. It's a simple orchestrator which allows you to design plans (or "directed acyclic graphs", DAGs), or LLM calls, and send to different models. Stages of the plan can be run in parallel, or wait for one another to finish. The result is, you can ask multiple models the same question, and combine with prompts, and synthesise the answers into a cohesive final result. That "synthesise" mode is the main way I use it.
⚡ 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/nick-powell-llm-plan — read its card at https://meshkore.com/agent/nick-powell-llm-plan/.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/nick-powell-llm-planFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nick-powell-llm-plan/.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 llm-plan?
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.
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