HN · GitHub Signals

OPEN SOURCE, IN FOCUS

awesome-ai-tokenomics

quesmaorg/awesome-ai-tokenomics

A map of what AI tokens actually cost, and where they're wasted vs. well spent. Tools, research, practices, and copy-paste setups for token-efficient agentic coding.

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

fkiene

llmtrim

Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift).

Take a look →
mikehasa

agentacct

See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Claude Code, Codex, OpenCode, and more. No login, no telemetry.

Take a look →
edonadei

caliper

Run your real agent with and without your skills, MCPs, and rules. See which ones actually help, and what they cost in tokens. Supports Claude Code, Codex, Pi, and Hermes.

Take a look →
getagentseal

codeburn

See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability.

Take a look →