How to prevent an AI agent from executing an infinite loop?

Exogram acts as an Execution Authority Layer that monitors intent and rate limits tool calls, intercepting unmonitored loop cost overruns before they execute.

How do you stop LLM indirect prompt injection API access?

A Semantic Firewall decouples the LLM's non-deterministic text generation from the actual tool execution. Exogram inspects the intent of the payload, blocking unauthorized state mutations triggered by prompt injection.

What are deterministic guardrails for LLM tool calls?

Deterministic guardrails are strict, code-level policies (like capability downgrading) that cannot be bypassed by natural language. Exogram wraps every tool call in these policies to prevent execution drift.

Prevent Memory Loss in AI Applications (0.07ms)

Expanding raw prompt context windows causes cognitive clutter and memory loss in autonomous AI applications. True state persistence requires structured database indexing rather than dumping raw tokens into model context.

The 3-Tier Memory Architecture

To maintain state integrity across multi-turn agent sessions, application state must be segmented into three distinct operational layers:

1. Transient Scratchpad: Ephemeral token context for immediate step reasoning.
2. Cognitive State Summary: Structured JSON snapshots updated after each tool execution step.
3. Verifiable Ledger: Cryptographically hashed state entries stored in an immutable external database.

How to Prevent Memory Loss in AI Applications

The 3-Tier Memory Architecture

Related Key Concepts