Open-source alternatives to Supermaven

Compare community-driven replacements for Supermaven in ai code assistants & autocomplete workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.

Supermaven logo

Supermaven

Supermaven delivers fast, high-quality inline suggestions in VS Code, JetBrains, and Neovim, plus an integrated chat that can use leading models; Pro adds a 1M-token context window for large codebases.Read more
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Key stats

  • 15Alternatives
  • 1Support self-hosting

    Run on infrastructure you control

  • 15Active development

    Recent commits in the last 6 months

  • 9Permissive licenses

    MIT, Apache, and similar licenses

Counts reflect projects currently indexed as alternatives to Supermaven.

Start with these picks

These projects match the most common migration paths for teams replacing Supermaven.

OpenHands logo
OpenHands
Best for self-hosting

Why teams pick it

Organizations wanting self-hosted AI development agents with LLM provider flexibility

Tabby logo
Tabby
Privacy-first alternative

Why teams pick it

Full control over data and privacy

All open-source alternatives

Kilo Code logo

Kilo Code

VS Code AI agent for autonomous coding and task automation

Active developmentPermissive licenseIntegration-friendlyTypeScript

Why teams choose it

  • Natural language code generation with self-validation and automated refactoring
  • Multi Mode system: Architect for planning, Coder for implementation, Debugger for fixes
  • Access to 400+ AI models including Gemini 2.5 Pro, Claude 4, and GPT-5

Watch for

Requires VS Code; not available for other editors

Migration highlight

Automated Code Refactoring

Modernize legacy codebases by describing desired patterns; the agent refactors and validates changes automatically.

Aider logo

Aider

AI pair programming in your terminal with LLMs

Active developmentPermissive licenseIntegration-friendlyPython

Why teams choose it

  • Codebase mapping for context-aware suggestions across large projects
  • Native Git integration with automatic commits and sensible messages
  • Support for 100+ programming languages and multiple LLM providers

Watch for

Command-line interface may have learning curve for GUI-focused developers

Migration highlight

Legacy Codebase Modernization

Map existing code and request refactoring, test coverage, or feature additions with full project context

opcode logo

opcode

Visual command center for Claude Code development and AI agents

Active developmentIntegration-friendlyAI-powered workflowsTypeScript

Why teams choose it

  • Unified project & session browser with instant resume
  • Customizable AI agents running in isolated background processes
  • Real‑time usage analytics with cost and token breakdowns

Watch for

Requires Claude Code CLI and additional build tools for source compilation

Migration highlight

Resume a paused coding session

Developers can instantly reload previous Claude sessions, preserving context and reducing setup time.

Serena logo

Serena

Turn any LLM into a code‑aware development agent

Active developmentPermissive licenseFast to deployPython

Why teams choose it

  • Symbol‑level code search and edit (e.g., find_symbol, insert_after_symbol)
  • Model Context Protocol server for seamless LLM integration
  • LSP‑based support for 20+ programming languages

Watch for

Limited benefit for very small projects or initial code creation

Migration highlight

Token‑efficient refactoring in Claude Code

Agent locates and updates target symbols across a 200k‑line repo, cutting token consumption by ~40%.

Tabby logo

Tabby

Self‑hosted AI coding assistant that runs on consumer GPUs

Active developmentPrivacy-firstFast to deployRust

Why teams choose it

  • Self‑contained server – no database or cloud dependencies
  • OpenAPI endpoint for easy IDE or tool integration
  • Runs on consumer‑grade GPUs with multiple model support

Watch for

Requires GPU hardware for optimal performance

Migration highlight

In‑IDE code completion with repository context

Developers receive accurate suggestions that incorporate recent changes and project‑specific APIs, reducing manual lookup.

Continue logo

Continue

AI coding assistant with custom agents for IDE and terminal

Active developmentPermissive licenseIntegration-friendlyTypeScript

Why teams choose it

  • Custom AI agents that execute development tasks across IDE, terminal, and CI/CD
  • Inline code editing without leaving your current file or breaking flow
  • Multi-provider LLM support including Claude, Qwen, and other models

Watch for

Requires configuration to connect preferred LLM providers

Migration highlight

Onboarding to Legacy Codebases

New team members chat with AI to understand unfamiliar code sections, accelerating ramp-up time without constant senior developer interruptions.

Void logo

Void

AI‑powered code editor that keeps your data private

Active developmentPermissive licensePrivacy-firstTypeScript

Why teams choose it

  • Run any LLM locally or via API
  • Checkpoint and visualize code changes
  • Direct provider messaging with zero data retention

Watch for

IDE development paused, limited new features

Migration highlight

Refactoring legacy code with AI suggestions

Accelerates safe updates while preserving functionality

OpenHands logo

OpenHands

AI-powered software development agents that code like humans

Self-host friendlyActive developmentPrivacy-firstPython

Why teams choose it

  • Full-spectrum development capabilities: code modification, command execution, web browsing, and API calls
  • Multiple deployment options: cloud service, CLI launcher with uv, or Docker containers
  • Multi-LLM support with optimized performance for Claude Sonnet 4.5

Watch for

Single-user design not suitable for multi-tenant deployments without commercial license

Migration highlight

Automated Code Refactoring

Agents analyze codebases and systematically refactor legacy code while maintaining functionality and running tests to verify changes.

GPT Pilot logo

GPT Pilot

AI developer companion that builds production-ready apps step-by-step

Active developmentIntegration-friendlyAI-powered workflowsPython

Why teams choose it

  • Multi‑agent workflow that iteratively writes, reviews, and debugs code
  • VS Code extension plus standalone CLI for flexible interaction
  • Supports OpenAI, Anthropic, and Groq LLM providers with configurable endpoints

Watch for

Requires Python 3.9+ and proper LLM API keys; setup can be involved

Migration highlight

Prototype a CRUD web app in minutes

AI writes the full stack, sets up database, and provides documentation, leaving the developer to review and deploy.

stagewise logo

stagewise

AI-powered frontend coding agent that edits production web apps

Active developmentIntegration-friendlyAI-powered workflowsTypeScript

Why teams choose it

  • Works out of the box with any frontend framework
  • Natural‑language prompts combined with element selection
  • Extensible via a plugin architecture

Watch for

Requires a running development server

Migration highlight

Update button label across multiple pages

All instances of the button text are changed consistently with a single natural‑language command.

Roo Code logo

Roo Code

AI-powered dev team inside your editor, boosting productivity.

Active developmentPermissive licenseIntegration-friendlyTypeScript

Why teams choose it

  • Multi-mode AI assistance (Code, Architect, Ask, Debug, Custom)
  • Natural-language code generation and refactoring
  • Automated documentation and repetitive task handling

Watch for

Relies on external AI services, incurring latency or cost

Migration highlight

Generate feature from description

AI creates functional code snippets that match the specification, reducing implementation time.

Plandex logo

Plandex

Terminal AI agent that plans, codes, and debugs large projects

Active developmentPermissive licenseFast to deployGo

Why teams choose it

  • 2 M token effective context window with selective loading
  • Cumulative diff sandbox for safe, reviewable changes
  • Configurable autonomy from full auto to step‑by‑step control

Watch for

Requires terminal proficiency; no graphical UI

Migration highlight

Full‑stack feature rollout

AI plans, implements, and tests the feature across multiple services, delivering a merge‑ready branch with passing CI.

Zed logo

Zed

High-performance, collaborative code editor built on Rust

Active developmentIntegration-friendlyAI-powered workflowsRust

Why teams choose it

  • Real‑time multiplayer editing with low latency
  • Rust‑based core for high performance and safety
  • Tree‑sitter powered syntax highlighting and language support

Watch for

No official Windows or web client yet

Migration highlight

Pair programming across remote locations

Developers edit the same file simultaneously, seeing each other's cursor and changes instantly, reducing context‑switching.

Cline logo

Cline

AI coding assistant that edits files and runs commands

Active developmentPermissive licenseIntegration-friendlyTypeScript

Why teams choose it

  • Autonomous file editing with diff view and linter monitoring for proactive error fixing
  • Terminal command execution with output monitoring and background process support
  • Browser automation for visual debugging, end-to-end testing, and runtime error detection

Watch for

Requires VS Code v1.93+ for full shell integration functionality

Migration highlight

Convert Design Mockups to Working Code

Upload screenshots of UI designs and Cline generates functional components, styles, and layouts matching the mockup specifications

OpenCode logo

OpenCode

Terminal‑native AI coding assistant, provider‑agnostic and extensible.

Active developmentPermissive licenseIntegration-friendlyTypeScript

Why teams choose it

  • Provider‑agnostic LLM support (Anthropic, OpenAI, Google, local models)
  • Full‑screen terminal UI built for neovim users
  • Client‑server architecture enabling remote control (e.g., mobile)

Watch for

Requires familiarity with terminal/TUI workflows

Migration highlight

In‑terminal code generation

Generate functions or snippets directly while editing in neovim, reducing context switches.

Choosing a ai code assistants & autocomplete alternative

Teams replacing Supermaven in ai code assistants & autocomplete workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.

  • 1 project let you self-host and keep customer data on infrastructure you control.
  • 15 options are actively maintained with recent commits.

Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Supermaven.