Architecture documentation that stays current
Architecture documentation rots. Diagrams in Confluence go stale the moment they are published. MemoryJar takes a different approach: your architecture lives as a traversable graph where services, databases, APIs, queues, and infrastructure components are typed entities with rich-text notes attached. When a service changes, you update one node — and every relationship in the graph reflects the change. The graph view gives architects and engineers a live map of how services connect, what depends on what, and where the critical paths are. The outline view provides a structured hierarchy for ADRs (Architecture Decision Records), runbooks, and operational documentation. This dual-view approach means your documentation serves both the big-picture thinker and the engineer who needs step-by-step details.
Dependency mapping and blast-radius analysis
Understanding service dependencies is critical for incident response, deployment planning, and technical debt prioritization. MemoryJar's graph view makes dependency chains visually traversable — click a database node and see every service that reads from it, every API that writes to it, and every queue that feeds it. This makes blast-radius analysis intuitive: before deprecating a service or changing a schema, you can visually trace the impact across the entire system. Create typed entities for services, databases, APIs, message queues, CDNs, and infrastructure components. Label the edges with relationship types — depends on, publishes to, reads from, authenticates via — to create a semantically rich dependency map that goes beyond what automated tools can generate.
Codebase knowledge management
Every engineering team has tribal knowledge that lives in people's heads. MemoryJar provides a structured way to capture and organize that knowledge as entities and relationships. Create nodes for major subsystems, critical business logic, legacy components, and integration points. Attach rich-text notes documenting how things actually work — not how the README says they work. Link related components together to show the non-obvious connections that cause incidents when someone changes one thing and breaks another. New team members can explore the graph to build mental models of the codebase, while senior engineers can document the context that would otherwise be lost when they move on.
Technical debt tracking
Technical debt is relational — a legacy authentication module creates debt in every service that depends on it. MemoryJar lets you map technical debt as entities connected to the systems they affect. Create debt nodes linked to the services, databases, and APIs they touch. Document the risk, the proposed fix, and the estimated effort in rich-text notes. The graph makes it immediately visible which debt items have the largest blast radius and which are isolated. Use the outline view to maintain a prioritized backlog alongside the visual debt map. Export the workspace as JSON or Markdown for integration with your project management tooling.