Trampoline-AI/predict-rlm

Harness LLMs with Multi-Agent Programming

Easiest and laziest way for building multi-agent LLMs applications.

[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code

Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.

Build reliable AI Workflows and Agents with humans in the loop, structured outputs and durable execution.

Bring any model to Codex, assign them any role, use them in /goal or any workflow.

LangServe 🦜️🏓

Build and run agents you can see, understand and trust.

Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.