OpenRundown

About

AI agents often struggle with a lack of persistent context, leading to repetitive explanations and duplicated effort across sessions. OpenRundown solves this by acting as an intelligent intermediary, compressing diverse project signals—such as GitHub issues, Discord threads, and prior agent sessions—into a compact, actionable briefing. This ensures every agent starts with critical information like active issues, recent decisions, and unfinished tasks, while also saving session outcomes to seamlessly inform future agents.

Key Features

• Persists agent session memory, including decisions, edited files, and open items, for continuity across sessions.
• 0 GitHub stars
• Automates investigation, fix generation, and draft pull request creation for GitHub issues.
• Ships as a Cursor plugin with auto-briefing and auto-save capabilities.
• Ingests and processes project signals from GitHub, Discord, and past agent activities.
• Delivers compact, context-rich briefings (300-500 tokens) to AI agents at session start.
• Features an AI-powered signal pipeline for classifying, grouping, mapping, and prioritizing project data.

Use Cases

• Equip AI agents with comprehensive project context to enhance their effectiveness in development tasks.
• Streamline developer workflows by eliminating the need to repeatedly provide context to AI assistants.
• Automate the initial investigation and remediation steps for GitHub issues by generating fixes and opening draft PRs.