recursive-language-model

What problem does it solve?

Decompose complex agentic tasks into bounded steps by wrapping a small local model behind the incumbent call contract, enabling scalable orchestration without rearchitecting the existing system.

Core Features & Use Cases

• Structured loop framing: frames the workload as a stateful, stepwise process with a scratchpad and a step counter.
• Per-step tool subsetting: selects a minimal set of tools per step to minimize context.
• Recursive decomposition: supports nested sub-tasks by spawning bounded sub-loops and returning summaries.
• Use Case: ideal for tasks that would normally require a frontier model but can be solved by a smaller model under a robust harness.

Quick Start

Describe a complex task and deploy the recursive-language-model harness to decompose it into bounded steps using a small local model behind the incumbent call contract.