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Sweep vs SuperCompress

SweepSuperCompress

Bottom line: Sweep for jetBrains IDE users and teams; SuperCompress for developers cutting LLM API costs.

SweepSweep

AI coding agent built for JetBrains IDEs

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SuperCompressSuperCompress

Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
ai-codingjetbrainscode-completiondeveloper-toolscoding-agent
llmdeveloper-toolscost-optimization
Best for
  • JetBrains IDE users and teams
  • Developers wanting native next-edit autocomplete
  • Teams automating refactors and tech-debt cleanup
  • Developers cutting LLM API costs
  • RAG pipelines with oversized retrieved context
  • Teams running coding agents
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
  • Open source under the MIT license and free to self-host
  • Genuine free tier: 1M tokens/month with no credit card
  • Cheap
  • transparent usage pricing at $0.30 per 1M tokens
  • Runs on CPU with no GPU or model download (~60ms per compression)
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
  • Early-stage project with a small team and limited independent track record
  • Headline compression (~58-82%) and >98% retention figures are vendor-reported and benchmark-dependent
  • Compression is lossy
  • so aggressive settings can drop context that later turns out to matter
  • Text-only: it does not compress image or audio context

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