Tokenadevsponytail

Best alternative to ponytail

Tokenade is the best alternative to ponytail — Universal token-optimization engine for AI coding agents — native hooks for 18 agents combine output filtering, semantic code search, skeleton compression, sandboxed execution, MCP proxying and a live savings dashboard in a single dependency-free binary.

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Output Filtering

Format-aware compactors cover git, cargo, kubectl, terraform, docker and more — 60–99% reduction on the noisiest commands. Command rewriting further trims source-side before the shell even runs.

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Semantic Code Search

Finds the most relevant files for a task and sends only those to the model, instead of the whole repo. Runs fully on-device with no external vector database and no model downloads — fast even on large codebases.

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Skeleton Compression

Signatures-only view of source files, YAML, Markdown and Terraform — −64% on file reads while preserving every top-level declaration. Stacks on top of output filtering for maximum savings.

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Third-Party MCP Optimization

tokenade mcp-proxy wraps any third-party MCP server's launch command in the agent's MCP config, so every tool result (verbose JSON, logs, console output) is folded on the way back — set once, not per call. Image results pass through untouched.

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Mechanism Breadth

The only tool combining output filtering + semantic search + skeleton compression + sandbox execution + MCP proxying + secret redaction + content-addressed cache in a single binary. On the open THOL benchmark it is the only one of the twelve tools tested that measurably cuts costs: 23% cheaper than running no tool at all, and 39% cheaper on long sessions.

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Setup & Installation

npm install -g @tokenade/cli then tokenade install — native hooks auto-detected for 18 agents (Claude Code, Cursor, Codex, Gemini CLI, Copilot, Windsurf and more). Works without an account: 10M tokens offered per machine to try. Not yet on crates.io or Homebrew.

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Savings Dashboard

tokenade dashboard shows measured savings, per-command and per-project breakdown, and framework-detection status. Local logs rotate automatically with built-in secret redaction.

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Pricing

Freemium: works without an account (10M tokens offered per machine to try); a free account raises that to 10M tokens saved per month on unlimited machines. Pro at $24.90/mo excl. tax (19,90 € incl. tax) covers 100M/month, then optional pay-as-you-save at $0.30 excl. tax (0,20 € incl. tax) per extra million saved. Enterprise on quote ([email protected]).

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ponytail at a glance

ponytail starts at Free (open source). A rules plugin rather than a compressor: it injects a decision ladder (reuse existing code, prefer the standard library, prefer a native platform feature, write the minimum that works) before each turn, so the agent generates less code and therefore emits fewer output tokens.

Pros

  • No runtime interposition at all — no proxy, no daemon, nothing between the agent and the API
  • Attacks output tokens, the expensive side per token, and cuts downstream review cost by producing less code
  • Auditable in minutes: the payload is prose rules, not a binary
  • Portable across agents that support skills or rules files

Cons

  • No measurable saving on the open THOL benchmark
  • No output filtering, no compression, no deduplication — it cannot shrink shell output, file reads or tool results
  • Savings depend on the model choosing to obey a prompt, so they are non-deterministic and unverifiable per call
  • The ruleset is itself injected as input tokens on every turn

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