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ccebelenski/localagents

MCP server that delegates Claude Code agent work to local models (llama.cpp / vLLM) on your own hardware

5 stars
1 forks
Python
momentum ▲ 18.7
created 2026-08-26
on radar since 2026-08-27
star trend 4 → 5 since 2026-08-27
agentsclaude-codellama-cpplocal-llmmcpvllm
View on GitHub ↗

About localagents

Hand Claude Code's grunt work to a model running on your own hardware.

localagents is an MCP server that gives Claude Code a runagent tool. Each call starts a full headless Claude Code session — same tools, same CLAUDE.md, same working tree — except its API traffic goes to a llama.cpp or vLLM server you run instead of to Anthropic. Claude writes the brief, the local model does the work, Claude reviews the result. Your Anthropic token budget goes on the parts that need it.

A 27B Qwen on one GPU is perfectly capable of "add a CLI for this module and tests to match"; Opus is better spent on the design conversation than on watching pytest run. Two local agents in parallel can build the two halves of a package against a pinned interface.

Status: early. It works, I use it daily, and the interface will move. It targets llama.cpp and vLLM specifically; Ollama isn't a goal.

Three things make this more than an environment variable:

1. A registry that is probed live. models.yaml lists where servers are and a menu of model names. What each server is actually serving right now, its real context window, and how many slots are busy are discovered on every call. You bring models up and down by hand — the server never launches anything — and when Claude needs a model that isn't running it asks you for it by name.

2. A shim between Claude Code and the backend. Claude Code sends things local chat templates reject, and local servers fail in ways Claude Code doesn't recognise. The shim fixes both directions (details below) and writes a requests.jsonl per job so you can see exactly what we

From the project README.

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