Forge

Reliability guardrails for self-hosted LLM tool-calling — lifts a local 8B model from ~53% to ~99% on agentic tasks

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An open-source reliability layer for self-hosted LLM tool-calling that adds guardrails (retries, step checks, error recovery, output parsers) and VRAM-aware context management to prevent compounding failures in multi-step agent workflows. It’s aimed at developers and teams running local or self-hosted agents on consumer GPUs, helping them run reliable multi-step agents without changing the model and providing an eval harness and dashboard for validation.

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