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Kilo Code vs SuperCompress

Kilo CodeSuperCompress

Bottom line: Kilo Code for developers; SuperCompress for developers cutting LLM API costs.

Kilo CodeKilo Code

Open-source, model-agnostic AI coding agent for VS Code and JetBrains

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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-coding-agentopen-sourcevs-codemcpmodel-agnostic
llmdeveloper-toolscost-optimization
Best for
  • Developers
  • Multi-model users
  • IDE-centric teams
  • Developers cutting LLM API costs
  • RAG pipelines with oversized retrieved context
  • Teams running coding agents
Pros
  • MIT-licensed and open source
  • Access to 500+ models
  • BYOK with zero markup
  • VS Code and JetBrains coverage
  • Subagent delegation and MCP support
  • 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
  • Began as a Roo Code fork
  • Plan structure can be confusing
  • Separate KiloClaw product adds complexity
  • You still pay model costs under BYOK
  • Anaconda acquisition impact still unfolding
  • 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

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