Timeglass Gives Claude and Codex Persistent Contextual Memory of Everything You Build
May 26, 2026 · Edited by Oleksandr Kuzmenko
Timeglass indexes file changes and terminal actions in the background, providing coding assistants with continuous chronological context across editor restarts.
Why it matters
You can stop writing manual design documents to explain things to your AI coding agents between sessions; they now remember every iteration step automatically.
Key takeaways
- Install Timeglass locally to capture file histories and terminal logs in the background
- Enable the Timeglass MCP server in your Claude Desktop or Cursor configuration
- Ask your agent for execution summaries to verify its recall of your design decisions
Model Context Protocol (MCP) servers are excellent for retrieving current system state, but they often lack long-term persistent context of your entire workflow history. When your agent restarts a session, all memory of previous implementation decisions is lost. Timeglass is a local and cloud-based persistent memory layer designed to give Codex and Claude tools an accurate, chronological record of everything you build. It works in the background, indexing filesystem edits, command executions, and design iterations.
Timeglass operates as an persistent agentic ledger. Whenever you prompt Claude or write code with Cursor, Timeglass injects a highly compressed, semantic temporal index of prior actions directly into the context window or through a specialized MCP server interface. This ensures that the model knows exactly *why* a function was refactored five iterations ago, rather than trying to guess from the static codebase.
If you are building a Software-as-a-Service (SaaS) product in a multi-day vibe-coding sprint, you can close your editor, return the next morning, and ask Claude to "continue building the billing system exactly where we left off." Claude instantly recalls the uncommitted design decisions, database schemas, and edge cases discussed hours prior.
Over-reliance on persistent memory can bloat the context window if the index is not carefully pruned or prioritized using vector-based semantic retrieval.
Timeglass is the missing memory layer that turns temporary coding chat sessions into continuous, lifelong software engineering partnerships.
Source: Hacker News ↗