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Build a local knowledge base from work activity for recall and skill suggestions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "noggin" yet — see the docs or source repo.
Using noggin data from Slack, GitHub, and CLI activity, summarize the key decisions, participants, and timeline related to the 'payment refactor' over the last two weeks, and cite the source for each conclusion.
A sourced timeline summary of project decisions for quick context review.
Search noggin and find how the team previously handled 'GitHub Actions build timeout' issues, then summarize the related discussions, commits, and final resolution.
A summary of prior incident handling with supporting evidence and reusable fixes.
Based on my activity from the past month across agent sessions, CLI, and GitHub, analyze the work I do most often and provide three actionable skill improvement suggestions.
A capability profile and personalized improvement suggestions based on actual work patterns.
Give AI coding agents local-first persistent memory management and recall.
Search team knowledge bases, answer questions with citations, and open related pages.
Give AI coding assistants persistent local memory with search and knowledge linking.
Give AI agents persistent, searchable memory across sessions and projects.
Give AI coding agents project memory, workflow intelligence, and optimized context.
Build and explore a neuroscience-inspired knowledge graph for search and reasoning.