Sandbox
155 repos for tokenization · Claude CodeClear
lookfree/
cc-harness

Desktop workbench for Claude Code — live subagent topology, token cost breakdown with drill-down, hook sandbox, config audit. Reads your session files locally. Electron, MIT.

48
KSroido/
Kagi-Session2API-MCP

Free Kagi Search MCP server — access search and summarizer via session tokens, no API key needed. Works with Claude Desktop, Cursor, Windsurf, Hermes and any MCP client.

83
lucasrosati/
claude-code-memory-setup

Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.

973
AgusRdz/
chop

CLI output compressor for Claude Code. Reduces token consumption by 50–90% by compressing verbose command output before it enters the context window. Supports 52+ commands — git, docker, kubectl, npm, terraform, and more.

44
superbasedapp/
observer

Local-first control plane for AI coding agents — launch browser terminals, run and remotely control sessions, and track files, tokens & cost across Claude Code, Codex, Cursor, Gemini CLI and 20+ more. 100% local, no telemetry.

44
st3v3nmw/
sourcerer-mcp

MCP for semantic code search & navigation that reduces token waste

119

An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.

125

A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention

13k

Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors

64k
alibaba/
loongsuite-pilot

Local-first telemetry collector for AI coding agents — unified OpenTelemetry events for Claude Code, Codex, Cursor and more. Token usage, cost, traces and security audit, exported anywhere.

177

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read

6k
richardwhiteii/
rlm

Recursive Language Model patterns for Claude Code — handle massive contexts (10M+ tokens) by treating them as external variables

49

Extract any website's complete design system with one command. DTCG tokens, semantic+primitive+composite, MCP server for Claude Code/Cursor/Windsurf, multi-platform emitters (iOS SwiftUI, Android Compose, Flutter, WordPress), Tailwind v4, Figma variables, shadcn/ui, CSS health audit, WCAG remediation, Chrome extension. MIT, Playwright, Node 20+.

4.1k
just-every/
mcp-read-website-fast

Quickly reads webpages and converts to markdown for fast, token efficient web scraping

161
marvkr/
better-design

🎨 Open-source design MCP server + shadcn/ui registry — AI design systems for Claude Code, Cursor, Codex, GitHub Copilot & any MCP client. 31 brand-grade themes (Linear, Stripe, Vercel, Notion, Apple, Supabase, Figma…) + design tokens, UI principles & WCAG rules. Install any component with one command.

233
decocms/
studio
decocms/studioFrameworks & SDKs

Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar

405
cwinvestments/
memstack

Structured skill framework for Claude Code. 130 skills, persistent memory, TokenStack compression, localhost dashboard with 3-agent runner, real-time streaming, MCP tools.

419

(HAM) Memory system for AI coding agents. Cut token usage by 80% by scoping context to directories.

66

Like htop, but for AI coding agents. Monitor Claude Code & Codex CLI sessions, tokens, context window, rate limits, and ports in real-time.

3.5k

A headless browser for AI agents that fetches modern web pages, runs JavaScript, manages sessions, and returns token-efficient Markdown.

86
bytebase/dbhubConnectors

Token conscious database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.

3.5k
only-cli/
oc

Turn any website into a compact CLI tailored for AI agents. Browse the web in hundreds of tokens, not tens of thousands.

476

30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

466