01
Apply verification, suppression, frequency, permission, and sender-health rules.
Governed Execution
Move from recommendation to action without losing control.
Oppulence separates memory, research, policy, approval, execution, and outcomes so every external action remains explainable and auditable.
02
Require approval for high-value or high-risk communications.
03
Record the rationale, policy decision, edit history, execution result, and outcome.
Oppulence DesktopLocal graph
Why it matters
Oppulence exposes the living work graph through a platform runtime: projects, workflows, RAG, widget sessions, workers, and APIs run together for teams that need owned infrastructure instead of a closed assistant.
How it works
- Deploy the platform stack with storage, queues, and vector search.
- Create projects and configure sources.
- Define workflows and tool boundaries.
- Expose agents through the public API, widget, or scheduled jobs.
Project and workflow APIs
Teams can manage projects, sources, workflows, conversations, test runs, and widget sessions without coupling every integration to the desktop app.
Async worker model
Ingestion and long-running jobs run outside the request lifecycle, with Mongo, Redis, and Qdrant supporting state, queues, and vector search.
Self-hosted control
The deployment model is built for teams that need control over data residency, provider keys, runtime configuration, and integration boundaries.
Operational outcomes
A complete starting point for owned agent infrastructure.
Clear separation between request handling and long-running work.
A deployment posture that can match stricter customer environments.
Use cases
Where the graph changes the workflow.
The feature pages stay concrete: each capability maps back to work traces, graph context, and a reviewable next step.
Embedded agents
Expose graph-backed conversations inside products and internal portals.
Background workflows
Run scheduled or event-triggered jobs that update context or propose actions.
Controlled deployment
Match stricter environments with owned storage, queues, vector search, and provider configuration.
API reference
Explore the live Oppulence API contract.
Why teams trust the queue
Built for evidence-backed action.
Each workflow keeps the same standards: source evidence, current relationship context, explicit policy decisions, and reviewable execution.
01
Every recommendation includes a reason and source evidence.
02
Verification, policy, approval, and execution remain clear boundaries.
03
Replies, meetings, edits, and revenue outcomes improve future actions.
Related