Show HN: OpenTimelineEngine – Shared local memory for Claude Code and codex (github.com)

OpenTimelineEngine (TCE) has been publicly released as an experimental local-first context platform designed to enhance AI coding agents' workflow by providing them with shared memory. Unlike traditional AI interactions where each session starts from scratch, TCE captures relevant events, decisions, and patterns over time, allowing coding assistants like Codex and Claude to retain memory across sessions and avoid repeated mistakes. This significantly improves the efficiency of developers by surfacing past decisions with citations, enforcing safety protocols, and offering granular control over AI behavior. The significance of TCE lies in its ability to facilitate a more coherent working relationship between developers and AI agents, allowing for a shared understanding of project context and decisions. Key technical features include dual-AI modes where an advisor can review and guide actions, a template for safety and reporting, and mechanisms for customizing memory storage either as shared or isolated. Additionally, its ability to integrate with various tools (like Git and VSCode) means that developers maintain control over their data while benefiting from increased accountability and consistency in AI-assistants' performance. This creates a more reliable and user-friendly experience for solo developers and teams alike, paving the way for more sophisticated AI interactions in software development.