Osyna/tanuki-context

Save tokens. Maximize context, Safely

🧃 Token weight loss. Lean output compaction for terminal-heavy agent workflows. Works as a native CLI tool or as an extension to popular coding and agent frameworks.

MCP server that shrinks logs, JSON, docs and web pages before your AI reads them. Offline, deterministic, ~3ms, no API key. 66% fewer tokens on a mixed dev corpus, 90%+ on logs.

Context profiler for LLMs and AI agents - used to introspect context contents and reduce token costs

One command to cut token usage by up to 50%+

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.

lowfat - slim your command output. strips noise, saves tokens.

See what your AI sees. Framework-agnostic LLM context window visualizer.

Auto AI improver. Token burn reducer, turn saver, and focus keeper for Claude Code, Codex, Copilot, Gemini, and more: surgical read hints, PDF/Office/CSV/markdown file interception, 255+ filter & interception rules, compact manifest injection, image shrinking, cache and compact skills, cache MCP calls, prompt injection protection, and so much more.