Use llama-swap to give agents one OpenAI/Anthropic-compatible endpoint that loads, unloads, and switches local model servers on demand.
Scanned 9/20/2026
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---
name: "Hot-swap local model backends for agent workflows with llama-swap"
slug: "hot-swap-local-model-backends-for-agent-workflows-with-llama-swap"
description: "Use llama-swap to give agents one OpenAI/Anthropic-compatible endpoint that loads, unloads, and switches local model servers on demand."
github_stars: 5651
verification: "security_reviewed"
source: "https://github.com/mostlygeek/llama-swap"
author: "mostlygeek"
publisher_type: "open_source"
category: "Integrations & Connectors"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "mostlygeek/llama-swap"
github_stars: 5651
---
# Hot-swap local model backends for agent workflows with llama-swap
Use llama-swap to give agents one OpenAI/Anthropic-compatible endpoint that loads, unloads, and switches local model servers on demand.
## Prerequisites
llama-swap binary or container, a config.yaml with model definitions, local model servers such as llama.cpp or vLLM, and an OpenAI-compatible or Anthropic-compatible agent/client endpoint
## Installation
Install or set up from the source-backed instructions:
Install with Homebrew using brew tap mostlygeek/llama-swap && brew install llama-swap, pull a GHCR container such as ghcr.io/mostlygeek/llama-swap:unified-cuda13, use release binaries, or build from source. Create a config.yaml with models and cmd entries, then run llama-swap --config path/to/config.yaml --listen localhost:8080 and point compatible agent clients at that endpoint.
- Source: https://github.com/mostlygeek/llama-swap
## Documentation
- https://github.com/mostlygeek/llama-swap
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/hot-swap-local-model-backends-for-agent-workflows-with-llama-swap/)
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