lats
OfficialMonte Carlo planning for smarter agent reasoning.
AuthorMiosa-osa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
LATS enables robust, scalable planning for language agents through Monte Carlo Tree Search (MCTS) combined with LLM reasoning to navigate complex, uncertain tasks.
Core Features & Use Cases
- Deterministic planning for multi-step tasks with branching outcomes, including code generation and decision-making under uncertainty.
- Self-evaluating trajectories: reflection prompts and backpropagation of scores to improve future actions.
- Integration-ready: designed to work with orchestrators and agent environments for autonomous execution.
Quick Start
Activate LATS for complex planning tasks and let it generate candidate actions, evaluate trajectories, and backpropagate results.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: lats Download link: https://github.com/Miosa-osa/canopy/archive/main.zip#lats Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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