AgentAssert
Design-by-Contract for AI Agents
AgentAssert brings formal behavioral contracts to autonomous AI agents. Define what an agent must do, must never do, and how it should degrade under uncertainty — then enforce those rules at runtime, every invocation, across any model provider.
The Problem
Enterprises are deploying autonomous agents at scale, yet not a single mainstream framework offers formal guarantees on what those agents will actually do. Agents drift from instructions, hallucinate tool calls, leak PII in conversation chains, and exceed cost budgets silently. The result is a reliability gap that widens with every deployment.
Key Capabilities
Hard and Soft Constraints
Separate inviolable safety boundaries from aspirational quality targets. Hard constraints halt execution on violation; soft constraints degrade gracefully and log for review.
Real-Time Drift Detection
Continuously monitors agent behavior against its contract during execution. Detects semantic drift before it compounds into a catastrophic failure downstream.
Reliability Scoring
Produces a single composite reliability score (Θ) per agent per session. Enables objective comparison across model providers, prompt versions, and deployment configurations.
Multi-Agent Pipeline Contracts
Compose individual agent contracts into pipeline-level guarantees. When Agent A hands off to Agent B, the contract enforces interface-level expectations at the boundary.
Enterprise-Ready Compliance
Designed with the EU AI Act in mind. Provides the audit trail, constraint documentation, and runtime evidence that regulators and compliance teams require for high-risk AI systems.
SkillFortify
Supply Chain Security for AI Agent Skills
Static analysis, behavioral sandboxing, and cryptographic attestation for the AI agent skill ecosystem. Detects malicious skills before they execute.
AgentAssay
Regression Testing for Non-Deterministic AI Agents
Token-efficient stochastic behavioral testing framework purpose-built for non-deterministic AI agent workflows.
SuperLocalMemory
Information-Geometric Memory for AI Agents
Local-first AI agent memory with mathematical foundations. 74.8% on LoCoMo without cloud dependency — highest local-first score reported. Fisher-Rao retrieval, sheaf cohomology, Langevin lifecycle. EU AI Act compliant.