llama-cpp-agent is a C++ library that enables developers to create local AI agents powered by llama.cpp. It supports plugin integration, conversation memory management, and multiple LLM backends for high-performance, privacy-preserving conversational assistants on desktop platforms.
Promote this Tool
Update this Tool
llama-cpp-agent
llama-cpp-agent is a C++ library that enables developers to create local AI agents powered by llama.cpp. It supports plugin integration, conversation memory management, and multiple LLM backends for high-performance, privacy-preserving conversational assistants on desktop platforms.
Ads
What is llama-cpp-agent?
llama-cpp-agent is an open-source C++ framework for running AI agents entirely offline. It leverages the llama.cpp inference engine to provide fast, low-latency interactions and supports a modular plugin system, configurable memory, and task execution. Developers can integrate custom tools, switch between different local LLM models, and build privacy-focused conversational assistants without external dependencies.
Who will use llama-cpp-agent?
- C++ developers
- AI researchers
- Privacy-conscious users
- Hobbyists building local assistants
- Edge computing engineers
How to use the llama-cpp-agent?
- Step1: Install llama.cpp and its prerequisites (CMake, a C++17 compiler).
- Step2: Clone the repository from GitHub.
- Step3: Create a build directory and run CMake to configure the project.
- Step4: Build the agent with make or your chosen build tool.
- Step5: Configure model files and plugin paths in the settings file.
- Step6: Run the agent binary and interact via the CLI or integrate into your application.
Platform
- Linux
- Mac
- Windows
llama-cpp-agent's Core Features & Benefits
The Core Features
- Modular plugin system for custom tools
- Conversation memory management
- Multi-LLM backend support via llama.cpp
- Offline, local inference for privacy
- Configurable prompt and task workflows
The Benefits
- Low-latency local execution
- Full user data privacy
- Lightweight C++ implementation
- Open-source and customizable
- Cross-platform desktop support
llama-cpp-agent's Main Use Cases & Applications
- Building offline conversational assistants
- Automating local task workflows
- Prototyping privacy-focused chatbots
- Integrating AI agents into desktop apps
- Edge device AI demonstrations
FAQs of llama-cpp-agent
llama-cpp-agent Company Information
- Maximilian Winter
llama-cpp-agent Reviews
5/5
llama-cpp-agent's Main Competitors and alternatives?
LangChain
Auto-GPT
BabyAGI
rivet
Haystack
You may also like:
Run coding agents in a persistent cloud workspace with shared files, previews, team context, and no local setup required.
Diagrid keeps AI agent workflows running through crashes, preserves state, and cryptographically proves every completed execution step.
Run coding agents locally with swappable models, tools, sandboxes, and session logs through a TypeScript plugin runtime.
Loopa is an AI agent platform that automates research, content creation, analysis, and workflow execution.
An autonomous AI agent that executes long tasks across apps, websites, and cloud computers end to end.
Hosted OpenClaw agent: one-click deploy, 500+ models, secure infrastructure, and automated agent management for teams and developers.
Enterprise-ready agent runtime that unifies Discord, web, and terminal with secure RAG, memory, and tool execution.
OpenClaw is an open-source, locally-run personal AI assistant that automates tasks via chat apps and plugins.
Managed Openclaw workspace to deploy local-first AI agents, hire AI staff, and join the Moltbook ecosystem.
CoTester is an enterprise-grade AI testing agent that reliably generates, runs, and self-heals automated tests.
Conversational AI assistant automating research, browser tasks, web scraping, and file management through natural language.
Gobii lets teams create 24/7 autonomous digital workers to automate web research and routine tasks.
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
SJinn is an AI-powered agent creating image, video, audio, and 3D content from descriptions.
Eigent is an open-source AI workforce platform managing complex workflows via multi-agent collaboration.
NVIDIA Omniverse Audio2Face transforms 3D character animations with AI-driven facial and emotional expressions.