What CacheTank does
CacheTank serves structured text at a readable endpoint. That's the entire integration model. There's nothing for a platform to block, nothing to deprecate, nothing to gate behind a partner program. Any AI tool that can process text input — today, tomorrow, or five years from now — works with CacheTank automatically. Zero dependency on anyone else's roadmap.
What competitors do
Competitors are "cross-platform" because they built integrations. Context Sync supports Claude Desktop, Cursor, Copilot — six tools. Qorbit works with "any MCP-compatible client" — but MCP isn't universal yet. XTrace connects to ChatGPT, Claude, Gemini — via their proprietary extension. When a new AI tool launches without MCP or extension support, these products can't reach it until they build a new integration.
Why this matters
The AI landscape changes every month. New tools launch. Old tools pivot. APIs break. Plugin systems get deprecated. If your context depends on a specific integration, you're one platform decision away from losing it. CacheTank is designed so that can never happen — the architecture itself is the compatibility layer.
How we verified this claim
CacheTank's /ctx endpoint has been tested with: Claude Desktop (MCP), Claude.ai (paste), ChatGPT (paste), Grok (paste), Gemini (paste), Perplexity (paste), Cursor (MCP), local LLMs via Ollama (paste). Same link, same context, zero configuration per tool. No integration was built for any of these — they all just read the text.