recall-context

What problem does it solve?

Recall Context helps AI agents avoid repeating the same failures by surfacing relevant prevention rules, past failure events, and reusable context before they start a coding task.

Core Features & Use Cases

• Prevention rules retrieval: Brings in auto-promoted rules tied to the current task so risky actions can be blocked early.
• Past failures and corrective actions: Provides specific failure history with tags and what fixed it last time.
• Context packs: Loads bundled project context from prior sessions to reduce missing assumptions and rework.
• Use cases: Use it when starting new features, touching code that has failed before, or resuming work with known constraints and lessons.

Quick Start

Tell your agent: "Before I start implementing this change, use recall-context to fetch relevant prevention rules, past failures, and context packs for the current task."