Persistent agent and work state
Agents, tasks, messages, assignments, workflow state and related execution records live in the application rather than disappearing with a model session.
EVIDENCE
Claim less. Show more.
Agentify uses real product states and application records to show what is implemented today. Future capabilities, customer adoption and deployment-specific claims are not folded into the current product story.
CURRENT PRODUCT PROOF
What we can demonstrate now.
Software Engineer lifecycle
Claude Code or Codex can work in isolated BranchBox workspaces while Agentify persists the run through pull request, CI, review, retry/continuation and the final human merge boundary.
Configurable AI Front Desk
A public workflow can use selected knowledge and limited actions, capture structured intake, persist the conversation and escalate to a human without inheriting unrestricted agent capabilities.
Knowledge and retrieval
Agentify includes application-owned knowledge bases and retrieval infrastructure that can be selectively exposed to workflows rather than embedded only in prompts.
Assignments, delegation and attempts
The application data model records which agent was assigned, who assigned the work, delegation relationships and execution attempts so authority and reporting can remain separate from runtime narration.
Replaceable execution bindings
Agent records and assignment state are separate from runtime bindings. This is the foundation for execution choice without redefining the work itself.
Evidence reviewed against the Agentify repository and deterministic product captures · August 26, 2026.
WHAT THIS PAGE DOES NOT CLAIM
Product proof is not customer proof.
Implemented product capability does not by itself establish customer adoption, production scale, business outcomes, a certification, a particular data-residency posture or universal availability of every repository feature.
Those claims require their own evidence. Agentify's public product story does not use roadmap capabilities or future longitudinal worker-performance features as if they were already shipped.
The boundary is simple: demonstrate the capability we have, and qualify everything else where it actually matters.
INSPECT THE PRODUCT
See the strongest proof in context.
The Software Engineer page walks through the most complete current lifecycle, including the explicit human merge boundary.