contextify.sh

What it is

Contextify is a history management tool for AI coding sessions, focused on solving two pain points with Claude Code: history being deleted after 30 days, and the lack of searchable history. It monitors Claude Code and Codex CLI sessions, indexes conversations into a local database, and provides a searchable timeline, live session stream, summaries, and context reuse capabilities.

Core capabilities

Functionally, it emphasizes a “local-first” approach: in local mode, no account is required, history is stored on your Mac, and every session can be full-text searched to find old commands, fixes, or technical decisions. On macOS 26, it can use Apple Intelligence to generate summaries locally, with no API key and no cloud processing; on macOS 15, it offers a Lite Mode without summaries. It also provides CLI, Skill, MCP access, and Total Recall, allowing Claude Code or Codex to retrieve previous sessions during the current task. Its ecosystem integrations currently center on Claude Code, Codex CLI, and Apple Intelligence, making its scope clear but relatively vertical.

Deployment and pricing

Deployment options are fairly complete: Local, Contextify Cloud, and Personal Self-Hosted. Local Free is free for individuals; commercial local use costs $8/seat/month. Cloud Free supports 2 Macs and 60 days of cloud history; Cloud Pro costs $12/month or $120/year, supports unlimited devices and unlimited cloud history, and includes a commercial license plus priority email support; Cloud Team costs $15/seat. The free self-hosted edition uses FSL-1.1-Apache-2.0 and converts to Apache 2.0 after two years; the commercial self-hosted Pro plan is still in early access.

Pros and cons

Its strengths are clear privacy boundaries, offline-by-default usability, the ability to disable cloud sync at any time and delete cloud data, and self-hosting support, making it suitable for sensitive code scenarios. The documentation covers Mac, Linux CLI, Cloud Sync, Total Recall, self-hosting, Tailscale/TLS, and troubleshooting, and is generally high quality. The downsides are that desktop features are clearly macOS-leaning, AI summaries depend on macOS 26, Linux is mainly CLI-based, Cloud Free keeps only 60 days of history, and the hosted cloud is best-effort with no explicit SLA.

Who it’s for and access from China

Contextify is well suited to individual developers who frequently use Claude Code/Codex and often need to recover past debugging ideas or fixes. It also fits teams that want to turn AI coding history into a shared knowledge base. Access from mainland China is not specified in the available text; domain accessibility, Stripe payments, and overseas cloud service availability need to be verified in practice. If network or payment access is restricted, Local or Self-Hosted deployments should be considered first.