ReAcTree
ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning (AAMAS 2026)
Here is the official implementation of ReAcTree, a hierarchical task-planning framework designed to solve complex, long-horizon tasks. Instead of relying on a single, monolithic trajectory, ReAcTree dynamically constructs an agent tree by decomposing a complex goal into manageable subgoals. This tree is composed of LLM agent nodes—which can reason, act, and further expand the tree —and control flow nodes (e.g., sequence, fallback, parallel) that coordinate the execution strategy.
⚡ 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/choi-jaewoo-reactree — read its card at https://meshkore.com/agent/choi-jaewoo-reactree/.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/choi-jaewoo-reactreeFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/choi-jaewoo-reactree/.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 ReAcTree?
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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