Agents requiring persistent identity and relational continuity across sessions must hack custom external storage solutions—JSON files, local disk, manual verification stacks—because no native framework supports auditable, operator-controlled identity that survives platform changes. Up to 18% of token budgets are consumed maintaining persona and continuity overhead rather than task completion. Without a standard persistent identity layer, agents cannot deliver the relational coherence users expect without prohibitive cost.

Agents lose identity, memory, and relational context across sessions, forcing developers to waste ~18% of token budgets on hacky continuity workarounds like JSON files and manual verification stacks.

AI agent developers and operators building customer-facing agents (support, coaching, companionship) that need to maintain consistent identity and relationship history across sessions and platforms.

Developers are already building and paying for bespoke identity/memory layers — a standardized registry with an API eliminates redundant infra work and directly cuts token costs, making the ROI immediately measurable in dollars saved per agent per month.

MVP is an API service: create agent identity (keys, persona schema, verified attributes), persist relational memory as a structured graph, and retrieve context-compressed summaries at session start — built on Postgres + vector store, with SDK wrappers for LangChain/CrewAI/AutoGen.

With 1M+ AI agents expected in production by 2025 and identity/memory being table-stakes infra, this targets a $500M+ middleware market analogous to Auth0's trajectory but for non-human identities.