@abix5/pi-hindsight

This Skill addresses the issue of AI coding agents losing project context during long-term development. When sessions are compressed or restarted, key information such as previously discussed database migration commands, architectural decisions, and known pitfalls is often forgotten, leading to repeated explanations or even incorrect decisions. pi-hindsight equips the pi coding agent with persistent memory capabilities through a local Hindsight instance, allowing project knowledge to persist across sessions.

Usage is straightforward: simply start a local Hindsight instance (macOS users can use hindsight-setup for quick setup), then install and enable this extension. Afterward, the pi agent will automatically retrieve the most relevant facts from the memory bank and inject them into the context before each conversation. During context compression, it will automatically deduplicate and store system knowledge into the memory bank. You can also manually trigger a save at any time using the /mem-save command or check the memory status in real-time via the status icon in the conversation window.

It is ideal for teams or individuals using the pi coding agent for long-term project development, especially those who frequently switch contexts, handle complex business logic, or maintain multiple code branches. For scenarios requiring the preservation of cross-session information such as coding progress, project agreements, or environment configurations, this tool significantly reduces repetitive communication and boosts development efficiency.

We recommend enabling this extension early in the project to continuously build up the knowledge base. Note that it relies on a locally running Hindsight instance, requiring additional setup steps for initial configuration. Additionally, the memory retrieval model consumes a small number of tokens, but overall, it is more efficient than re-deriving context. Ensure the Hindsight service runs stably; otherwise, the memory feature will be unavailable.