Condense.chat Launches Compression Proxy for Coding AI
testingcatalog · x · 2026-07-03
Condense.chat has launched a new compression proxy that sits between coding AI agents and large language models to reduce token costs. The tool features two proprietary models: Helene 1 strips redundant tokens before requests enter the cache, and Adeline 1 compresses settled agent loops to about 9% of their original size. Requiring no changes to system prompts, this solution doesn't affect the final output, offering practical value for lowering token costs in AI programming and inference.
More from coding & agent
- Bugbot rejects an MCP permission flag because it would break path-scoped isolation — zeeg · 2026-07-27
- One GPT-5.6 agent is guarding a Blink security system while another makes a parody rap album — repligate · 2026-07-27
- An agent got unblocked by reusing a logged-in browser, not stealth tricks — armanidev_ · 2026-07-27
- Paper argues graph topology can become the core operating system for AI agents — theomitsa · 2026-07-27
- Claude Code desktop adds UI markup feedback for smoother visual editing — EricBuess · 2026-07-27
- Anthropic says Claude Code can drop 80% of its system prompt with no coding loss — krishnan · 2026-07-27