The structurally-verified context layer for AI coding agents. Cut 50-90% of your agent's token spend.
Your AI agent burns tokens on noise. Warden stops that.
Every token your agent spends on noise is a token it didn't spend on your actual problem. Warden fixes this.
Warden is an MCP server that drops into Claude Code, Cursor, Codex, Windsurf, Cline, Gemini, and 30+ other agents. Install once. Warden prunes tool output, compresses responses, indexes your codebase, and remembers decisions across sessions — then proves every cut is safe with a verifiable trust guard.
50-90% fewer tokens. Zero config. Zero cloud. Zero lock-in.
All platforms (macOS, Linux, Windows, WSL):
Windows users: do NOT use the curl command in CMD or PowerShell — bash triggers WSL on Windows. Use the PowerShell or npm command above.
~10 seconds · Node = 22.5 · skips agents you don't have · safe to re-run
warden init does everything automatically:
Step What happens :-----:------------- Register Warden registered as MCP server in all detected agents (30+) Rules Agent rules files written (CLAUDE.md, AGENTS.md, .cursorrules, etc.) Index Code index built — call graph, imports, symbols, dead code Compress Memory files compressed to save tokens every future session
Restart your IDE. Start working normally. Warden runs automatically — no commands to remember, no settings to tune, no levels to pick. Max compression is always on.
See it working: your agent prints ‹warden› saved 4295 tokens (79%) on every tool call. Run warden hud for a live terminal HUD. Run warden dashboard for a web UI at http://localhost:7878.
From the project README.
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