Best alternative to code-review-graph
Tokenade is the best alternative to code-review-graph — 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.
Get TokenadeOutput 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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code-review-graph at a glance
code-review-graph starts at Free (open source). Python MCP server that builds a Tree-sitter structural map of a codebase so review tasks query the map instead of re-reading large parts of the repository. One install command configures the MCP entry and hooks for every AI coding tool it detects.
Pros
- Focused on review tasks specifically, where whole-repository re-reading is worst
- Single install command writes the MCP configuration and platform hooks for each detected tool
- Tree-sitter parsing gives real structure rather than keyword matching
- VS Code extension and CI action available alongside the CLI
Cons
- No measurable saving on the open THOL benchmark, despite publishing very large token-reduction multiples from its own testing
- Scoped to review workflows — it does not help general implementation sessions
- No output filtering: command and test output still reaches the context unfiltered
- Requires Python 3.10+ and an index that must be rebuilt as the code changes
Ready to cut costs with Tokenade?
Join the teams that already chose Tokenade over code-review-graph.
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