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mpecan / tokf

Config-driven CLI tool that compresses command output before it reaches an LLM context

Why this job: works in the areas we cover, but does not say which job it does

What it does

Commands like git push, cargo test, and docker build produce verbose output packed with progress bars, compile noise, and boilerplate. tokf intercepts that output, applies a TOML filter, and emits only what matters — so your AI agent sees a clean signal instead of hundreds of wasted tokens.

Get started

brew install mpecan/tokf/tokf
# or: cargo install tokf
tokf setup
# detect your AI tools and install hooks

You need: The filter must be a user-level or project-local filter (not a built-in). Use tokf eject first if needed.; At least one test file must exist in the adjacent _test/ directory. The server runs these tests against your filter before accepting the upload.; You must accept the MIT license (prompted on first publish, remembered afterwards).

Maintenance
Active
Last commit 2 months ago
Stars
200
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest tag
catalog-types-v0.2.54
Released 2 months ago
Built with
Rust
99% of the code

Is it looked after?

Contributors
3
Last 90 days
Issues
97% closed
4 still open
Pull requests
311 merged
6 waiting
Releases
263
30+ in the last year

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More: languages, topics and project record

Languages

  • Rust 99%
  • Shell <1%
  • Python <1%
  • TypeScript <1%

Topics

  • ai-tools
  • claude-code
  • cli
  • command-line
  • context-window
  • developer-tools
  • homebrew
  • llm
  • rust
  • token-optimization
  • toml
  • output-filter

Project record

  • JobOther AI tools
  • StatusListed
  • Commits355
  • Forks18
  • Watching1
  • Stars in 28 days0
  • CreatedFeb 18, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 12, 2026

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