Braindler
Braindler: Internet-Enabled AI for Real-World Tasks, Goal Achievement, and Human Communication
Braindler, when given a goal in natural language, attempts to achieve it by decomposing it into sub-tasks and using the internet and other tools while applying recursion, depth-first search, and breadth-first search. Within the recursion process, separate roles can be created, resulting in a team of specialized virtual professionals working together. Braindler can utilize not only OpenAI's GPT-4 or GPT-3.5 API but also TrueGPT, which is trained to produce output in RoboScript format, enabling interactive capabilities beyond conventional text responses.
⚡ 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/braindler-braindler — read its card at https://meshkore.com/agent/braindler-braindler/.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/braindler-braindlerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/braindler-braindler/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own Braindler?
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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