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Refact.ai vs SuperCompress

Refact.aiSuperCompress

Bottom line: Refact.ai for privacy-sensitive engineering teams; SuperCompress for developers cutting LLM API costs.

	Refact.ai Open-source autonomous AI coding agent that runs end-to-end tasks in your IDE Visit	SuperCompress Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference. Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Coding	Coding
Tags	ai-coding-agentopen-sourceself-hostedideswe-bench	llmdeveloper-toolscost-optimization
Best for	Privacy-sensitive engineering teams Open-source-first developers JetBrains and VS Code users	Developers cutting LLM API costs RAG pipelines with oversized retrieved context Teams running coding agents
Pros	Fully open source with a permissive license Can be self-hosted on-premise for data privacy Bring-your-own-key across many model providers Strong ranking among open-source agents on SWE-bench Verified Supports 25+ programming languages	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	Self-hosting requires infrastructure and setup effort Agent quality depends heavily on the chosen BYOK model Smaller ecosystem and community than Cursor or Copilot No mobile or browser-based experience Autonomous runs still need careful human review	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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