Self-hosted LLM development tools - AI tools

Hegel AI provides a developer platform for building, monitoring, and improving large language model (LLM) applications, featuring tools for experimentation, evaluation, and feedback integration.

• Contact for Pricing

Laminar is an open-source platform that enables developers to trace, evaluate, label, and analyze Large Language Model (LLM) applications with minimal code integration.

• Freemium
• From 25$

LlamaEdge is a lightweight and fast local LLM runtime and API server, powered by Rust & WasmEdge, designed for creating cross-platform LLM agents and web services.

• Free

LM Studio is a desktop application that allows users to run Large Language Models (LLMs) locally and offline, supporting various architectures including Llama, Mistral, Phi, Gemma, DeepSeek, and Qwen 2.5.

• Free

Literal AI streamlines the development of LLM applications, offering tools for evaluation, prompt management, logging, monitoring, and more to build production-grade AI products.

• Freemium

Braintrust provides an end-to-end platform for developing, evaluating, and monitoring Large Language Model (LLM) applications. It helps teams build robust AI products through iterative workflows and real-time analysis.

• Freemium
• From 249$

PromptMage is a Python framework that streamlines the development of complex, multi-step applications powered by Large Language Models (LLMs), offering version control, testing capabilities, and automated API generation.

• Other

Superpipe is an open-source experimentation platform designed for building, evaluating, and optimizing Large Language Model (LLM) pipelines to improve accuracy and minimize costs. It allows deployment on user infrastructure for enhanced privacy and security.

• Free

PromptsLabs is a community-driven platform providing copy-paste prompts to test the performance of new LLMs. Explore and contribute to a growing collection of prompts.

• Free

Axolotl AI is a free, open-source tool designed to make fine-tuning Large Language Models (LLMs) faster, more accessible, and scalable across various AI models and platforms.

• Free

LM Studio is a user-friendly desktop application that allows users to run various large language models (LLMs) locally and offline, including Llama 2, PN3, Falcon, Mistral, StarCoder, and GEMMA models from Hugging Face.

• Free

Keywords AI is a comprehensive developer platform for LLM applications, offering monitoring, debugging, and deployment tools. It serves as a Datadog-like solution specifically designed for LLM applications.

• Freemium
• From 7$

Flowise is an open-source low-code platform that enables developers to build customized LLM orchestration flows and AI agents through a drag-and-drop interface.

• Freemium
• From 35$

Agenta is an LLM engineering platform offering tools for prompt engineering, versioning, evaluation, and observability in a single, collaborative environment.

• Freemium
• From 49$

Transformer Lab is an open-source platform enabling researchers, ML engineers, and developers to collaboratively build, train, evaluate, and deploy AI models with features like provenance, reproducibility, and transparency.

• Free

BenchLLM is a tool for evaluating LLM-powered applications. It allows users to build test suites, generate quality reports, and choose between automated, interactive, or custom evaluation strategies.

• Other

BrowserAI is an open-source library enabling developers to run local Large Language Models (LLMs) directly within a user's browser, offering a privacy-focused AI solution with zero infrastructure costs.

• Free

Missing Studio is an open-source AI platform designed for developers to build and deploy generative AI applications. It offers tools for managing LLMs, optimizing performance, and ensuring reliability.

• Free

YourChat is a cross-platform client enabling users to chat securely with their own self-hosted Large Language Models (LLMs), offering customization and privacy.

• Contact for Pricing

OneLLM is a no-code platform enabling users to fine-tune, evaluate, and deploy Large Language Models (LLMs) efficiently. Streamline LLM development by creating datasets, integrating API keys, running fine-tuning processes, and comparing model performance.

• Freemium
• From 19$

WebLLM enables running large language models (LLMs) directly within a web browser using WebGPU for hardware acceleration, reducing server costs and enhancing privacy.

• Free

Petals enables users to run large language models like Llama 3.1 and Mixtral collaboratively, distributing the load across a network of consumer-grade GPUs.

• Free

Conviction is an AI platform designed for evaluating, testing, and monitoring Large Language Models (LLMs) to help developers build reliable AI applications faster. It focuses on detecting hallucinations, optimizing prompts, and ensuring security.

• Freemium
• From 249$

Phoenix accelerates AI development with powerful insights, allowing seamless evaluation, experimentation, and optimization of AI applications in real time.

• Freemium

Langfuse provides an open-source platform for tracing, evaluating, and managing prompts to debug and improve LLM applications.

• Freemium
• From 59$

Lora provides an SDK for integrating a fine-tuned, mobile-optimized local Large Language Model (LLM) into applications with minimal setup, offering GPT-4o-mini level performance.

• Freemium

Helicone is an all-in-one platform for monitoring, debugging, and improving production-ready LLM applications. It provides tools for logging, evaluating, experimenting, and deploying AI applications.

• Freemium
• From 20$

BuildOwn.AI offers a comprehensive guide for developers to build AI applications using large language models. This resource provides structured learning, practical insights, and is adaptable to any programming language.

• Other

LocalAI provides a free, open-source alternative to run LLMs, autonomous agents, and semantic search locally on your hardware, ensuring privacy and control.

• Free

Gentrace is an LLM evaluation platform designed for AI teams to test and automate evaluations of generative AI products and agents. It facilitates collaborative development and ensures high-quality LLM applications.

• Usage Based