AI agents burn context windows reading files in full. Tokenless compresses files before the agent sees them and adds durable project context. Runs locally, works with any agent, no subscription.
Claude
Codex
Cursor
Windsurf
Copilot
OpenClaw
Hermes
Tokenless sits locally between your agent and your files — no cloud, no model calls, no lock-in.
A compiled native binary, not a heavyweight runtime. Compression is deterministic and near-instant, so it never becomes the slow step in your agent loop.
Everything happens locally. No external APIs, no telemetry, no model calls — your code and documents never leave your device, and it works fully offline.
Tokenless is a single one-time purchase. Buy it once, then install the full local build with code, documents, data, logs, web, and memory included — no recurring bill.
Exposed over the Model Context Protocol, so Claude, Cursor, Windsurf, Copilot, Codex and more pick it up with no code changes. Cross-platform on Windows, macOS, and Linux.
One install covers code in any language plus PDF, DOCX, XLSX, PPTX, JSON, CSV, YAML, logs, and web pages with schema views, log filtering, and dedup.
Source-backed pages and cross-session memory let agents load, search, and reuse compact project context instead of re-reading raw sources every session.
Representative agent workflows covering code, data, ops, and knowledge work. Savings measured against the realistic raw-read baseline — full table in benchmarks below.
Find a bug in a codebase the agent hasn't seen. Without compression, every related file is read in full.
A 100-record paginated response would consume most of the context window on a single call.
The application log from the last hour is 50,000 lines. Loading it raw isn't feasible in any context window.
A 60-page report or multi-sheet workbook. Reading the whole file to answer one question burns the context window.
Measured against realistic fixtures with the cl100k_base BPE tokenizer (the encoding behind GPT-4). Numbers below are real — regenerated by cargo test --test landing_benchmarks. No synthetic gains, no chars/4 hand-waving. The purchased install covers code, documents, data, logs, web, and config workflows.
| Task | Full Tokens | Savings |
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