llms.txt@site · git:20260914.82b4c8f · 2026-09-14 · sha256 5c34ced0009d525f
llms.txt@site git:20260914.82b4c8fA
Immutable. This exact content is served forever at /api/v1/blob/5c34ced0009d525f.
# Furl > Context compression for AI agents, with stored details retrievable through CCR. The current package is 1.4.0. This website replays six historical synthetic examples processed with Furl 1.2.0 on 2026-07-13; it does not run live compression or accept uploads. Recorded aggregate: 22,630 tokens before, 1,922 after (91.5% saved) on repetitive generated machine output. These are best-case examples, not a guarantee for new inputs. See BENCHMARKS.md in the repository for methods and the broader 0–54% range. Raw stored text can be retrieved byte-exact. Structured JSON may be re-serialized. Retention, eviction, configured redaction and storage availability apply. Never promise indefinite retrieval, guaranteed savings or automatic ChatGPT hooks. ## Website - [Demo](https://furl-ctx.vercel.app/) - [Connect](https://furl-ctx.vercel.app/connect) - [Support](https://furl-ctx.vercel.app/support) - [Privacy](https://furl-ctx.vercel.app/privacy) - [Cookies](https://furl-ctx.vercel.app/cookies) - [Terms](https://furl-ctx.vercel.app/terms) ## Source of truth - [Repository](https://github.com/omar-y-abdi/furl-ctx) - [Benchmarks](https://github.com/omar-y-abdi/furl-ctx/blob/main/BENCHMARKS.md) - [Retention](https://github.com/omar-y-abdi/furl-ctx/blob/main/CCR-RETENTION.md) - [PyPI](https://pypi.org/project/furl-ctx/) The local stdio server can connect through a private Secure MCP Tunnel. The static website is not a public MCP endpoint. Public HTTP deployments must be separately configured with OAuth and durable isolated per-user storage.