Tokenadevsclaude-token-efficient

Best alternative to claude-token-efficient

Tokenade is the best alternative to claude-token-efficient — 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.

Output Filtering

Not available. claude-token-efficient is a CLAUDE.md prompt-rule file; it does not filter tool outputs.

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.

Semantic Code Search

Not available.

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.

Output-Style Compression

Prompt-engineering rules in CLAUDE.md suppress filler phrasing, Unicode decoration, question restatement and over-engineering — claimed ~63% reduction on output-heavy workflows. Author honestly notes the input-vs-output tradeoff: the rule file itself costs tokens per turn.

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.

Lazy MCP Loading

Not available.

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 (Claude Code 2.1.183 campaign) it is the only tool measured significantly cheaper than the control: cost ratio 0.84 [0.72, 0.95], 120/120 successful runs.

Mechanism Breadth

Single mechanism: output-style prompt engineering. Does not reduce tool-output, file-read, or MCP manifest tokens.

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.

Savings Dashboard

Not available. No measurement tooling included.

claude-token-efficient at a glance

claude-token-efficient starts at Free (open source). Drop-in CLAUDE.md file (~5 KB) with compact behavior rules that suppress filler phrasing, Unicode, question restatement and over-engineering, claiming ~63% reduction on output-heavy workflows.

Pros

  • Zero infrastructure — copy one file into the repo and done
  • Author is transparent about the input-vs-output cost tradeoff; rare honesty in this space
  • Model-agnostic: works on any LLM that reads a CLAUDE.md-equivalent instruction file
  • Profile composition lets teams version their rule sets per project type

Cons

  • Static file, no measurement loop or auto-tuning of savings
  • Closest to break-even among free options on the open THOL benchmark, but not statistically significant (cost ratio 0.98, n.s., Claude Code 2.1.183 campaign)
  • Overlap with caveman tool in the same output-style layer — less aggressive (63% vs 65–75%)
  • No installer — manual copy with no multi-agent auto-detection
  • Does not reduce tool-output tokens, file reads, or MCP manifest costs

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