Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks

Forge is an open-source reliability layer for self-hosted LLMs that uses domain-agnostic guardrails to boost agentic task performance from 53% to 99% on an 8B model. Built by Texas Instruments' AI Director, it adds retry nudges, step enforcement, error recovery, and VRAM-aware context management for developers deploying tool-calling LLMs. It’s interesting because it dramatically improves reliability without requiring larger models, making self-hosted AI agents far more practical for production use.