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Sweep vs Tabby

SweepTabby

Bottom line: Sweep for jetBrains IDE users and teams; Tabby for privacy-conscious and regulated teams.

AI coding agent built for JetBrains IDEs

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Open-source, self-hosted AI coding assistant you run on your own hardware

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
ai-codingjetbrainscode-completiondeveloper-toolscoding-agent
open-sourceself-hostedai-codingprivacycode-completion
Best for
  • JetBrains IDE users and teams
  • Developers wanting native next-edit autocomplete
  • Teams automating refactors and tech-debt cleanup
  • Privacy-conscious and regulated teams
  • Organizations wanting a self-hosted Copilot alternative
  • Teams with GPU and DevOps resources
Pros
  • Deep, PSI-aware integration purpose-built for JetBrains IDEs
  • Fast, low-latency next-edit autocomplete
  • Agent can edit multiple files for larger tasks
  • GitHub integration from issue to pull request
  • Affordable credit-based pricing with a free tier for open source
  • Full data privacy: code never leaves your infrastructure
  • Genuinely open-source (Apache 2.0) with no vendor lock-in
  • Runs on modest consumer GPUs (NVIDIA or Apple Silicon)
  • Free at any scale when self-hosted, including SSO and team admin
  • Model-agnostic: swap in newer open LLMs as they ship
Cons
  • Limited to JetBrains IDEs, no VS Code or other editor support
  • No public transcription-style API for external integration
  • Smaller ecosystem than Copilot or Cursor
  • Heavy agent use can burn through monthly credits
  • Fewer independent long-term reviews than larger rivals
  • Requires GPU and DevOps effort to self-host and maintain
  • Completion quality depends on the open model, generally below frontier tools
  • Not an autonomous agent; focused on completion and chat
  • The managed cloud option is newer and less proven than self-hosting
  • Some enterprise features sit under a separate commercial license

Comparison generated from each tool's listing. Add or remove tools above to change it.