#rlm

Production focused Self-harnessed LM runtime (RLM) that allows the LM to call its sub-lm with DSPy signatures. Define your inputs, outputs, and tools — the model handles its own control flow. Get fully interpretable trajectories and performance that scales directly with model improvements. Without context rot.

Gives agents a think→act loop — plus recursive decomposition (RLM): break a hard task down, fan out, verify, synthesize. Goal in, coordinated actions out. Replaces LangChain, CrewAI, AutoGen. Zero required deps.