Get Started
All Features Agents That Learn

Agents that remember
your preferences.

Build a project knowledge base that agents receive as context. Set policies that are injected into every session. Review a full log of agent activity.

Agent context overview showing memory entities (25), active policies (12), recent actions (50), and the context stack agents receive

Persistent project memory

Store observations about your architecture, conventions, and preferences. Each entry has a confidence score, a source (explicit or inferred), and a confirmation date so you can see what the knowledge base contains.

Memory observations about mobile UX, resource scheduling, and tool authorization, each with 92–95% confidence and confirmation dates Each observation shows confidence, source, and when it was last confirmed

Project policies

Define project-level instructions like "use portals for modals" or "CLI packages must meet QA standards." Policies are tagged as preferences or rules and injected into every agent session as context.

Policies page showing preference and rule entries with confidence scores, marked as instruction-only Policies are instruction-only — injected into agent context, not programmatically enforced

Activity log

A timestamped feed of every task submission, execution step, session start/stop, and agent completion event. Filter to find specific activity across the project.

Agent actions feed showing task.agent_completed, task.execution_step, session.stopped, and session.started events with timestamps Every event type — task completions, execution steps, session lifecycle changes
Previous Full Visibility & Control Next Idea to Execution

Ready to try SAM?

Deploy on your own cloud in minutes. Open source, free to self-host.

Get Started Read the Docs