Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
A super light-weight embedded code search engine CLI (AST based) that just works - improves speed and efficiency for coding agent 🌟 Star if you like it!
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
Safety-first GUI and CLI for auditing, backing up, importing, cleaning, and trimming Codex conversations without editing internal storage.
Fast local CLI and MCP tool for compacting verbose test runners and build output.
Codex skill and CLI utility for safely configuring model context windows, effective percentages, and auto-compaction defaults.
A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents — no embeddings, no vector database, no LLM calls. Companion code for the Towards Data Science article on intent continuity.
Claude Code 状态栏:会话花费、上下文占用、5h / 7d 限额预警,区分订阅制与按量付费。单文件 Python,零依赖。· A Claude Code statusline for session cost, context usage and limit warnings.
A filter plugin for Open WebUI that shows detailed token, context, timing and cost statistics below each AI response: token counts (input/output/total, reasoning, cached, audio), context-window utilization, generation time, tokens/second and message/chat cost.