Exposes an internal engineering knowledge base to AI assistants, allowing users to search and retrieve standards, runbooks, and architecture decisions. It supports RAG-enhanced search, document scraping, and specialized prompts for incident investigation and code reviews.
Provides coding agents with a shared, Markdown-based engineering knowledge base to search, capture, create, and update internal conventions, API details, infrastructure configs, and development setup via lightweight MCP tools.
Enables engineering agents to maintain persistent knowledge across sessions by storing decisions, invariants, gotchas, and rejected ideas, with staleness detection, conflict detection, full-text search, and structured context assembly.
Provides AI assistants with unified access to organizational knowledge across Guru, Notion, and local docs, enabling intelligent document creation, retrieval, and management.
Provides AI agents with structured access to project conventions, technology stacks, and architectural patterns to ensure consistency across development teams.
