Governed agent continuity system for memory, reflection, and self-models.
becomussy explores governed continuity for agents that need memory, reflection, and durable self-models without collapsing into opaque autonomous drift.
Keeps identity and long-running context available across sessions so the system can build on prior work instead of restarting from a blank prompt every time.
Supports structured self-review and iterative improvement flows, giving the system a place to examine prior behavior before acting again.
Pairs persistence with explicit controls so continuity remains inspectable and constrained rather than becoming an uncontrolled black box.
Stateless chat is cheap and easy, but serious agent systems eventually need continuity. becomussy is aimed at that middle ground: richer than short-lived sessions, but still opinionated about control, rules, and reviewability.
The stack combines application services, persistence, and fast-access state so memory, reflection, and runtime behavior can remain separate concerns instead of one undifferentiated blob of context.
Keep an agent aware of prior decisions, user preferences, and unfinished work across sessions instead of rebuilding context from scratch every time a conversation resumes.
Test continuity, reflection, and self-model behavior in a system where operators can inspect and constrain what gets remembered, revised, or acted on later.
This is a GitHub-first project today. The repository is the right entry point if you want to study how memory, reflection, persistence, and governance boundaries are separated in the implementation.
If the repository clicks for you, use the related projects below to trace how the same ideas show up in adjacent tools and experiments.
Skim the catalog when you want breadth, or use pages like this one when you want a little more context before heading outward.