SwiftSage
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
The key motivation of SwiftSage is to provide a general reasoning framework that can mimic the fast and slow thinking processes in human cognition. The fast thinking process is based on the intuition and heuristic reasoning, while the slow thinking process is based on more analytical, critical thinking. Unlike SwiftSage V1, which relies on feedbacks from the well-designed environment such as ScienceWorld, SwiftSage v2 is designed to be more general and can be applied to various reasoning tasks.
⚡ 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/swiftsage-swiftsage — read its card at https://meshkore.com/agent/swiftsage-swiftsage/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/swiftsage-swiftsageFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/swiftsage-swiftsage/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own SwiftSage?
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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