Selected sources
Connect the sources that matter to a task—documents, tools, code, records or conversations—with clear access and ownership.
↗ WORK / 03MEMORY LAYERS
CONTEXT SYSTEMS FOR AI
Give your AI a
memory of the work.
A memory layer connects selected information from your environment and makes the useful parts available when an AI needs context.
See the system ↓MEMORY LAYER / EXAMPLE CONTEXT
SELECTED SOURCESRepository✓Recent pull request✓Architecture note✓Prior incident✓
MEMORY LAYER
Link
context
STRUCTURE + SOURCE REFERENCEScontext
CONTEXT PACKAffected serviceWhy this existsRecent changeRelated issueFOR THIS AI JOB
INPUT / SELECTED ENVIRONMENTEXAMPLE INTERFACE — CONTEXT SHOULD REMAIN TRACEABLEOUTPUT / FOCUSED CONTEXT
THE PRACTICAL PROBLEM
Every AI run should not
start from zero.
Useful work depends on more than a single prompt. It depends on decisions already made, records that changed, systems that connect and constraints that apply. A memory layer gives an AI a structured route to that context.
WHAT WE BUILD INTO THE LAYER
SOURCE → STRUCTURE → CONTEXTDecision history
Keep useful decisions, changes and relationships available so an AI can work with more than the current prompt.
↗Context on demand
Return a focused context package for a particular AI job instead of sending every source into every request.
↗Traceability
Make it possible to inspect what context was used, where it came from and why it was relevant.
↗HOW WE BUILD IT
Map the environment.
Serve the task.
Choose the boundary
Decide which sources, users and kinds of information belong in scope.
Build the memory model
Structure records, relationships, change history and source references around actual AI jobs.
Retrieve with evidence
Return a focused context package and keep the source trail visible for review.
A PRODUCT RULE
More information
is not better context.
We do not treat a memory layer as a place to indiscriminately ingest everything. It needs a defined scope, source controls, retention decisions and a clear reason for each piece of context it returns.
Explore all the work ↗Building AI that needs context?
Start with the environment. ↗