Letta API — agentic threat model
Letta API is a developer platform for building stateful AI agents, presenting elevated risks around persistent memory poisoning and state manipulation. Because it serves as an orchestration framework, vulnerabilities in memory management or tool integration could compromise downstream agent deployments.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.70 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.90 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — The listing does not specify which foundation models are supported or integrated by the Letta API platform.
Not certain from the listing — While 'stateful' implies persistent data storage and memory management, the listing does not detail the underlying vector databases or data operations pipelines.
As a platform for building stateful agents, Letta directly provides the orchestration framework. Key threats include memory poisoning of the agent's state, insecure tool integration, and logic flaws in state transitions.
Not certain from the listing — The hosting, sandboxing, secrets management, and infrastructure deployment details are not specified in the public directory listing.
Not certain from the listing — No details are provided regarding built-in evaluation, monitoring, logging, or guardrail mechanisms for the stateful agents.
Not certain from the listing — The listing does not mention specific security compliance standards, identity policies, or access control mechanisms.
Not certain from the listing — While designed for building agents, the listing does not explicitly detail multi-agent coordination protocols or marketplace ecosystem threats.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.