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llama-cpp-agent
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llama-cpp-agent

Active·★ 661·NOASSERTION·Updated 2026-03-09
★ Hidden Gem

llama-cpp-agent is a Python framework for interacting with LLMs running via llama.cpp. It provides a unified interface for chat, structured function calls, and JSON-formatted output — including models not explicitly fine-tuned for function calling. Developers can define tools and callable functions that the agent invokes directly, making it practical for building local agentic workflows without cloud dependencies.

llama-cpp-agent sits in the LLM Infra category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Structured function calls for models running via llama.cpp. A representative use case is Building local agentic pipelines with open-source LLMs. The listed license is NOASSERTION. GitHub stars are currently 659. Relevant tags include agent-framework, Communication.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#agent-framework#Communication
$ Install
$ pip install llama-cpp-agent
↗ Visit site★ GitHub
01

Features

01Structured function calls for models running via llama.cpp
02JSON-structured output even from non-function-call-finetuned models
03Chat interface with multi-turn conversation support
04Python-native tool/function definition and binding
05Compatible with local LLM deployments — no cloud required
02

Why choose it

+Structured function calls for models running via llama.cpp
+JSON-structured output even from non-function-call-finetuned models
+Building local agentic pipelines with open-source LLMs
+Supports 3 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Python
Python 3.9+
Verified via docs
llama.cpp
Native
Verified via docs
Ollama
Supported
Verified via docs
05

Quick start

1
$ pip install llama-cpp-agent
06

Use cases

↳Building local agentic pipelines with open-source LLMs
↳Extracting structured data from LLM responses without fine-tuning
↳Prototyping function-calling workflows on consumer hardware
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
Maximilian-Winter /
llama-cpp-agent
↗

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.

661
Last commit7mo ago
StatusActive
CategoryLLM Infra
Links
Documentation↗Discussion↗Issues↗Releases↗
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