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Alternatives
Software like Localai
What else does this job. Matched on what each project does, not on who links to whom.
Closest first
- LocalAIlocalai.ioLocalAI is an open-source platform that allows users to run large language models, autonomous agents, and document intelligence tools locally on their own hardware. It provides an OpenAI-compatible API, modular extensions, and supports text, image, and audio generation, making it ideal for developers seeking privacy and control over AI workloads.
- Local Keep AIlocalkeep.aiLocal Keep AI is a local-first autonomous AI platform that runs models on a user's computer and anonymizes requests when cloud inference is enabled. It supports multi-agent workflows, SMS automation, offline operation, more than 30 languages, and cross-platform installation for developers and technical teams.
- Local AI Assistantmicrosoft.comLocal AI Assistant is an offline chatbot for Windows desktops, providing AI-powered conversations and assistance without requiring an internet connection. It ensures privacy by processing all data locally, making it suitable for users who need secure, private AI interactions.
- Local and Private AIgoogle.comMyLocAI is a mobile AI chat app that runs entirely on your phone, ensuring privacy and fast responses without relying on cloud servers. It is designed for users who want secure, local AI-powered conversations on Android devices.
- Local Keep AIlocalkeep.aiLocal Keep AI is an MIT-licensed command-line coding assistant that runs AI models locally, including free and open models such as GGUF and Llama variants. It is intended for developers who want Claude Code-style workflows without relying on hosted inference.
- Whatsmylocalwhatsmylocal.aiWhat's My Local AI? detects a user's browser-visible hardware, including GPU, RAM, and VRAM, then recommends local AI models that can run with Ollama or LM Studio. Users can adjust detected specifications to explore alternative model options; detection runs in the browser.
- Localassistantpypi.orgLocalassistant, also called locas, is a GPLv3 Python package for running a local AI assistant. It is distributed through PyPI and has a GitHub repository, making it suitable for developers and users who want an on-device assistant.
- Local Keep AIvisualstudio.comLocal Keep AI is a Visual Studio Code extension that provides AI coding assistance using locally accessible models. It supports model selection, code-focused interactions, and integrations such as Ollama, targeting developers who want coding help without managing a cloud API key.
- Locally AI by LM Studioapple.comLocally AI is an iOS app that enables users to run large language and vision models like Llama, Gemma, and Qwen directly on their devices, fully offline. It offers private AI chat, image analysis, and creation features without requiring login or data collection, ideal for privacy-focused users.
- Local Chat AImicrosoft.comLocal Chat AI is a desktop application for Windows that enables users to run powerful open-source language models entirely on their own hardware. It provides a clean chat interface supporting conversation history, file attachments, project folder context, and multiple sessions. Users can download additional compatible models directly in the app, ensuring full privacy and offline functionality after initial setup. It is ideal for writing, coding, research, document analysis, and general queries without relying on cloud AI services.
- LocalChat.applocalchat.appLocalChat is a macOS application that enables users to chat with over 300 AI models entirely offline, ensuring privacy and security. Optimized for Apple Silicon, it requires no account and keeps all conversations on the user's device, making it ideal for privacy-focused users.
- local-ai-trackpypi.orglocal-ai-track is an open-source CLI tool that allows developers to monitor and track AI token usage and associated costs for coding assistants directly on their local machine. It is designed for developers who want privacy and transparency in their AI tool usage.
- AI Servermicrosoft.comAI Server is a Windows application that enables users to run advanced AI models entirely on their local device, ensuring privacy, speed, and offline capability. It provides a user-friendly interface for managing and customizing AI server settings.
- Local AI Studio for Maclekhai.appLekh AI Pro is a comprehensive on-device AI studio designed for Mac users, offering a broad suite of AI-powered creative and productivity tools without reliance on cloud services or API keys. The platform enables users to generate images, videos, and music, run local large language models, transcribe audio, benchmark models, and convert Hugging Face models to formats such as MLX, GGUF, or JANG. Its all-in-one approach caters to those seeking private, offline AI workflows for content creation, research, and automation. Key features include an agentic web browser that allows AI-driven browsing, guided research mode with multi-step reasoning and citations, inline summarization, and the ability to generate exportable briefs. The tool also offers a secure web-hosted chat client that syncs in real time with the desktop workspace, and supports integration with modular MCP servers to connect data sources, automate workflows, and expand the capabilities of local AI agents. Users have access to over 1,000 language models for private on-device chat, as well as deep integrations with platforms such as OpenAI, Anthropic, DeepSeek, and Gemini. In-chat image generation is supported via Flux, Stable Diffusion, SDXL, custom safetensors, and OpenAI image models. Creative tools include Flux image generation, LTX video generation with synchronized audio, and ACE-Step music generation for composing full songs with vocals and instruments. The platform supports advanced image editing features such as background and object removal, inpainting, and 4x upscaling with RealESRGAN. Text-to-speech capabilities are provided through Kokoro, Chatterbox TTS, MOSS TTS, and Qwen3 TTS, enabling the creation of audiobooks from documents. Users can import and interact with PDFs and EPUBs using AI-powered comprehension, and leverage RAG-powered document retrieval to build personal knowledge bases with vector search. Benchmarking tools allow measurement of model performance metrics like tokens per second and memory usage. Lekh AI Pro is delivered as a native Mac application optimized for Apple Silicon, with direct download options and App Store availability. The platform includes unrestricted access to its suite of local AI tools, supporting both individual and team workflows through editable pre-built personas and localization in multiple languages. Its focus on privacy, autonomy, and deep integration positions it as a versatile solution for creatives, researchers, and power users seeking advanced AI capabilities entirely on their Mac.
- Your Own AIyourownai.netYour Own AI is an open source desktop application that enables users to run AI models locally for maximum privacy. It eliminates the need for cloud-based AI services, ensuring user data stays on their device. Ideal for privacy-focused individuals and organizations seeking control over their AI workflows.
- AIChat ITLoSUmicrosoft.comAIChat ITLoSU is a Windows desktop application that enables users to run AI chat models locally or connect to cloud AI endpoints. It supports Retrieval-Augmented Generation (RAG), document uploads, and local knowledge base management, making it suitable for privacy-focused users and professionals needing offline or hybrid AI workflows.
- local-aicoderpypi.orglocal-aicoder is an open-source CLI tool that provides a local, offline agentic coding assistant for developers. It can plan, edit, run, and verify code using local LLMs and retrieval-augmented generation. Designed for privacy and offline use, it integrates with developer workflows to automate coding tasks.
- local-bench-ailocal-bench.ailocal-bench-ai is a local AI benchmarking suite for open-weight models running on local hardware. It compares model quality against the amount of VRAM required to run them, and it presents results as a Local Intelligence Index with scored variants on a board and leaderboard. The suite measures tokens per second, VRAM, latency, accuracy, and the reproducible run hash attached to each artifact. It supports a local, open-weight, judge-free runtime with deterministic warmup prompts, answer-key evaluation, and separate public and full execution paths. The public command runs five non-agentic axes with a static-only mode, while full six-axis execution uses a managed AppWorld harness. The leaderboard shows ranked model variants, including per-axis scores for agentic ability, knowledge, instruction following, tool calling, coding, and math, along with bench time and fit by VRAM tier. Users can pick a model, select VRAM and runtime settings, and get exact commands for benchmarking. The page also shows a catalog browse view and a way to paste a Hugging Face repository. Runtime options named on the page include llama.cpp, LM Studio, and vLLM, and it notes support for bringing a custom OpenAI-compatible server or custom hardware setups. The commands verify downloads against pinned hashes, cache tokenizers, check publishability before starting, and can ask before submitting results. The page also records tokenizer and chat-template digests for some runs. Installation is shown with pip using the package name local-bench-ai, including an extra for Hugging Face support. The page warns that plain pip install localbench installs an unrelated third-party package. It also states that Python 3.11+ is required for the public static path, and that the full six-axis lane additionally needs Windows with WSL2. Hugging Face gated repositories are supported through hf auth login after license acceptance, and llama-server can read its token from the HF_TOKEN environment variable. The package is described as a catalog-pinned one-command flow for benchmark, score, and optional submit workflows.
- AI Clientmicrosoft.comAI Client is a desktop application that allows users to run advanced AI models entirely on their local device, ensuring privacy, low latency, and offline access. It supports model selection based on hardware and is ideal for users who require secure, customizable AI capabilities without relying on cloud services.
- AIEnginemicrosoft.comAIEngine is a Windows desktop application that allows users to orchestrate and manage LLM-based conversational agents locally. It supports multiple local models, agent templates, and offline operation, providing privacy and customization for advanced users and developers.
- Meer Aimeerai.devMeer is an open-source command-line interface for developers to run, interact with, and manage AI models and agents locally. It supports multiple providers, structured agent tools, and integrates with the Model Context Protocol (MCP). Developers use Meer to leverage AI capabilities directly in their terminal environment.
Ranked by how close each one sits to Localai in the index, not by popularity. Back to Localai →