Tokenadevsclaudeslim

Best alternative to claudeslim

Tokenade is the best alternative to claudeslim — 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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Tokenade

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.

claudeslim

Output Filtering

Not available. claudeslim operates at the API-payload level (symbol substitution, key shortening), not at the tool-output boundary. Applying it to structured command outputs could corrupt JSON or code identifiers.

Tokenade

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.

claudeslim

Semantic Code Search

Not available. claudeslim does not index or search codebases.

Tokenade

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.

claudeslim

Skeleton Compression

Not available. claudeslim abbreviates API payload keys and hashes system prompts — it does not produce signature-only views of source files.

Tokenade

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.

claudeslim

Lazy MCP Loading

Not available. claudeslim does not interact with MCP servers.

Tokenade

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.

claudeslim

Mechanism Breadth

Single mechanism targeting the API payload boundary. The approach is fundamentally risky: renaming tool definitions breaks Anthropic's prompt cache, likely costing more tokens than it saves on long sessions.

Tokenade

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.

claudeslim

Setup & Installation

pip install claudeslim + set ANTHROPIC_BASE_URL + optional systemd unit. Simple env-var approach; no agent-specific installer needed.

Tokenade

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.

claudeslim

Savings Dashboard

Not available. claudeslim provides no analytics on actual savings or API usage receipts.

claudeslim at a glance

claudeslim starts at Free. Python HTTP proxy on localhost:8086 that intercepts the Anthropic API via ANTHROPIC_BASE_URL and applies symbol-table substitution, system-prompt hashing and message-history abbreviation, claiming 60–85% token reduction.

Pros

  • Zero modification to Claude Code binary — uses the ANTHROPIC_BASE_URL env var only
  • systemd integration for set-and-forget background operation
  • Pure server-side approach: works regardless of agent version

Cons

  • Tool-definition renaming breaks Anthropic's prompt cache, likely increasing costs rather than reducing them
  • System-prompt SHA-256 hashing is not a valid API input — the model cannot reconstruct behavior from a hash
  • Token counts measured pre-compression; billed API usage.input_tokens not validated in docs
  • Python proxy adds latency on the API hot path

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