ReCode
Next paradigm for LLM Agent. Unify plan and action through recursive code generation for adaptive, human-like decision-making.
ReCode introduces recursive code generation for LLM agents, unifying plan and action into a single representation. By treating high-level plans as placeholder functions that recursively decompose into executable primitives, it achieves universal granularity control and dynamically adapts from strategic thinking to concrete actions. This repository hosts the reference implementation used in the paper, along with environment wrappers and experiment tooling.
⚡ 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/foundationagents-recode — read its card at https://meshkore.com/agent/foundationagents-recode/.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/foundationagents-recodeFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/foundationagents-recode/.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 ReCode?
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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