Best On-Premises AI Copilots

Devin Desktop (formerly Windsurf) is an AI-powered development environment that combines a full-featured IDE with advanced coding agents in a unified workspace. Formerly known as Windsurf, the platform enables developers to manage local and cloud-based AI agents, delegate tasks, review code, and ship software without leaving their editor. Developers can use multiple coding agents simultaneously to research, write, test, debug, and improve code while maintaining full visibility into every change. Devin Desktop includes features such as agent orchestration, shared workspaces, intelligent code completion, contextual code search, and integrated review tools. The platform supports a wide range of models, extensions, language servers, and MCP integrations, allowing teams to work with their preferred tools and workflows. Devin Desktop helps engineering teams accelerate software development, improve productivity, and manage AI-assisted coding at scale.

Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, Python, Java, PHP, Go, and more.

Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.

A state-of-the-art AI that builds better software, cheaper and faster. K.Explorer is an AI powered Code Assistant trained on many millions of private corporate lines of code, for specific domains, and on billions of public and open-source lines of code for general purposes. Its code auto-completion features suggest code completions and entire function bodies as you type or as you search the engine for help. To make development faster and more agile it even supports Natural Language for programmers to get guidance while telling a text story about the code they want to write.

Pieces™ is an on-device AI coding assistant that boosts developer productivity by helping you solve complex development tasks through a contextual understanding of your entire workflow. Leverage real-time context from all of your tools to ask questions about your daily interactions, capture important information, explain concepts or entire repositories, and generate ready-to-use code. Pieces works right in-flow, seamlessly integrating with your favorite tools to streamline, understand, and elevate your coding processes.

Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude Sonnet 4 and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.

Cosine is an AI-powered software engineering platform that enables developers and engineering teams to automate coding workflows, run autonomous development tasks, and manage complex software projects across cloud and local environments. Through its cloud platform, developers can delegate coding tasks to AI agents that independently research, write, test, and iterate on code while operating in secure, isolated MicroVM environments. The platform supports multiple operational modes, including autonomous execution, planning, collaborative agent swarms, and manual review workflows, allowing teams to balance automation with human oversight. By combining parallel agent execution, remote infrastructure access, and model-agnostic support for leading AI models, Cosine helps organizations accelerate software delivery while maintaining control, security, and code quality.

Curiosity is an enterprise-grade search and knowledge platform that connects information across your tools instantly. Designed for speed, security and scalability, Curiosity gives teams one place to search, discover and act on their data. With in-memory speed, results appear as you type; whether you’re searching internal systems, cloud apps or local files. Curiosity integrates seamlessly with tools like Google Drive, Confluence, Slack, SharePoint, Outlook and ServiceNow, unifying company knowledge without moving data. Setup is fast and flexible. Deploy it in minutes, connect your sources and empower your organization to find anything instantly. Built for enterprise needs, Curiosity supports secure on-device or self-hosted setups, ensuring complete data privacy and control. Fast setup. In-memory speed. Flexible for enterprise.

Knolli is an AI copilot platform that enables users to build, launch, and scale custom AI copilots and agents without writing code by turning knowledge, documents, datasets, and proprietary content into interactive, conversational assistants. It provides a no-code workspace where creators, teams, and businesses can describe their idea in plain language and have Knolli automatically structure uploaded content into a usable AI copilot, organize and protect data securely with encrypted private knowledge bases, and connect to tools such as CRMs, file storage, and databases to pull in live data for context-aware responses. It supports multi-agent architecture to run specialized agents inside one copilot, pre-built templates for common use cases, custom branding and white-labeling, and advanced analytics so users can monitor performance, usage, and ROI. Knolli also offers workflow automation, letting copilots automate multi-step tasks and integrate with existing systems.

StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.

The leading open-source AI code assistant. You can connect any models and any context to create custom autocomplete and chat experiences inside the IDE Remain in flow while coding by removing the barriers that block productivity when building software. Accelerate development with a plug-and-play system that makes it easy to get started and integrates with your entire stack. Become a leader in AI by setting up your code assistant to evolve as new capabilities emerge. Continue autocompletes single lines or entire sections of code in any programming language as you type. Attach code or other context to ask questions about functions, files, the entire codebase, and more. Highlight code sections and press a keyboard shortcut to rewrite code from natural language.