NodeOS / Development Memory
Your AI agents shouldn't have to start from scratch.
Development Memory makes accumulated development knowledge reusable for the people and agents building your software.
Development Memory
DEC-DEMO-01
Notifications follow user preferences
User preferences determine which messages appear. The decision is linked to DEMO-104.
DEC-DEMO-01 · DEMO-104 · Demo 0.2
Internal · fictional example
Without connected context
- 01New task
- 02Broad investigation
- 03Reconstruct history
- 04Find the code
- 05Understand past decisions
- 06Begin implementation
With NodeOS
- 01New task
- 02Retrieve context
- 03Find relevant history
- 04Verify current code
- 05Implement
- 06Preserve new knowledge
Find the reasoning, not just the ticket
Search task history, decisions, comments, work sessions, evidence and documentation metadata. Follow results to the original record rather than relying on an isolated summary.
Begin the next session informed
An agent retrieves task-start context, identifies previous decisions and related work, narrows its investigation and verifies the current source. The record guides the work; it does not replace verification.
Continuity belongs to the organization
Remember why a solution was chosen, what was investigated and which ideas were postponed. New colleagues and new agents can build on knowledge that would otherwise stay with an individual.
New work becomes future context
Record decisions, checkpoints and delivery evidence as development proceeds. Only existing, accessible records can be retrieved — completeness is not guaranteed, and references do not expand permissions.
Internal pilot
How we gave our AI development workflow a memory
For about three months we have used NodeOS in our own software development with KIRO, GitHub and a customer-facing workflow. This is what we observed.
Read the internal pilot caseBuild on what came before.
Give your people a shared overview. Give your agents a better starting point.