Trampoline-AI

Add, evaluate, and optimize RLM-GEPA projects for an existing PredictRLM. Use when a user wants to improve reusable RLM instructions from execution traces, build a train/validation optimization harness, configure AgentSpec or OptimizeConfig, run optimize…

Plan and build a new callable Recursive Language Model with predict-rlm. Use when a user wants to design an RLM, assess whether an RLM fits a workflow, or implement an RLM package with structured boundaries, skills, host-side tools, custom adapters, or…

Delegate analysis- and context-heavy work to Fractal, an agentic CLI powered by a self-harnessed Recursive Language Model (predict-rlm), by running it non-interactively (fractal -p). Reach for it when a task needs reasoning over a large or deep codebase,…

Guide contributors through adding or updating Fractal model providers, provider auth wiring, and provider model options. Use when adding a Fractal provider, changing provider defaults/model_options/restricted_models, updating setup model menus, or preparing…

Design, build, run, and refactor agentic workflows with Avalanche. Use when a user describes an outcome that should become a typed multi-step workflow, or when creating an Avalanche flow or belt, choosing deterministic versus PredictRLM-backed agent steps,…