Claude Code bills get expensive fast. Three tools attack this from different angles.
Headroom compresses everything before Claude sees it. Tool outputs, logs, files, conversation history—all of it. Runs locally between your app and the model. You get 60–95% fewer tokens without losing accuracy. It works as a proxy, a library, or an MCP server. The compression is reversible: originals sit in local cache if Claude needs them.
Ponytail stops agents writing bloated code in the first place. Before generating anything, it checks: does this already exist in stdlib? Is there a native browser feature? Can this be one line instead of fifty? Real measurements show 54% less code on average across proper agentic workloads. Saves tokens and time without cutting safety features.
Recall keeps context outside the prompt window. It stores decisions, patterns, and preferences persistently—retrieves them when needed. Works across sessions and survives context compaction. You can self-host with Redis or use their managed cloud version. Either way, Claude stops asking you the same questions repeatedly.
How They Stack
Headroom shrinks what goes in and out. Ponytail ensures what comes back is minimal. Recall keeps repetitive context from bloating the window at all.
Use all three if token costs are a real line item. Use one if you only need that specific fix. They work independently or together.