CTXone
Why CTXone Docs Use cases Blog Team & Enterprise GitHub
Why CTXone

Why a context engine — and why self-hosted.

The thinking behind CTXone: the structural problem it solves, the economics, and where it earns its keep.

Vision

Why a self-hosted context engine breaks the context-cost paradox — and what CTXone is building toward for individuals, teams, and enterprises.

Read →

Context anxiety

The fear of closing an AI session because you'll lose everything it learned — the pain CTXone was built to end. Coined by Craig Brown, 2026-04-13.

Read →

Token economics

The token math behind CTXone — how budgeted, targeted recall replaces flat-memory dumps, and why the savings ratio climbs as your graph grows.

Read →

Cost savings

How CTXone pays for itself on cost savings alone — cheaper agent startup, shared memory and context, tracked token-to-dollar savings, and catching over-budget sessions before they burn.

Read →
CTXone

The context engine for AI agents.

Docs

  • Quickstart
  • Architecture
  • CLI reference
  • HTTP API
  • Troubleshooting

Integrations

  • AI coding tools
  • Open WebUI
  • Use cases

Project

  • GitHub
  • PyPI
  • Releases
  • Blog
  • Team & Enterprise
  • License (BSL-1.1)
  • Report an issue
© 2026 CTXone. Source-available (BSL-1.1 → Apache-2.0 after 4 years).
Built on AgentStateGraph