Question 1

What is Exogram?

Accepted Answer

Exogram is the execution control plane for autonomous AI. It provides Identity and Access Management (IAM) for non-human entities, enforcing truth, detecting contradictions, and cryptographically gating every agent action before execution.

Question 2

How is Exogram different from LangChain or CrewAI?

Accepted Answer

LangChain, CrewAI, and AutoGen are orchestration frameworks — they route agent actions. Exogram governs whether those actions are admissible. Orchestration says what to do. Exogram says whether it's allowed.

Question 3

How is Exogram different from Mem0 or Zep?

Accepted Answer

Mem0 and Zep are memory layers — they store context. Exogram stores verified, encrypted, conflict-checked facts with SHA-256 integrity hashes and deterministic PII scrubbing. It's a governance control plane, not just a memory store.

Question 4

What is the EAAP protocol?

Accepted Answer

EAAP (Exogram Action Admissibility Protocol) is a four-layer deterministic control plane: Ledger Governance, Meaning Engine, Judgment Engine, and Action Admissibility. It uses deterministic Python logic gates, not LLM inference, to evaluate every proposed action.

Question 5

Does Exogram train on user data?

Accepted Answer

No. Exogram does not train models on user data. All ingestion is user-initiated, encrypted at rest with AES-256-GCM, and fully auditable via the immutable ledger.

Question 6

What is AI IAM (Identity and Access Management for AI)?

Accepted Answer

AI IAM extends identity and access management to non-human entities — autonomous AI agents. Just as Auth0 and Okta govern human access, Exogram governs what AI agents are allowed to do in production systems.

Question 7

Does Exogram work with ChatGPT, Claude, and other AI models?

Accepted Answer

Yes. Exogram is model-agnostic. It integrates via ChatGPT Custom GPT, Claude Desktop (MCP), REST API (for LangChain, CrewAI, AutoGen, LlamaIndex), and a Chrome extension. It governs actions regardless of which model generates them.

Question 8

How is Exogram different from NVIDIA NemoClaw?

Accepted Answer

NemoClaw is an agentic AI framework from NVIDIA for building GPU-accelerated AI agents. It focuses on agent execution and hardware optimization. Exogram is the governance layer that sits between any agent framework (including NemoClaw) and execution. NemoClaw builds agents. Exogram governs them.

Question 9

How is Exogram different from OpenClaw?

Accepted Answer

OpenClaw is an open-source agent framework for autonomous AI systems. Like LangChain and NemoClaw, it routes agent actions. Exogram provides the governance control plane that determines whether those actions are admissible — with deterministic logic gates, SHA-256 state integrity, and immutable audit trails.

Question 10

Why do autonomous AI agents need governance?

Accepted Answer

AI agents in production can modify billing records, delete regulated data, and trigger operational workflows. Without governance, agents operate on probabilistic inference alone. Exogram ensures every action passes through deterministic verification gates before execution — the agent cannot act as its own security guard.

Question 11

Why do AI agents forget context and lose memory?

Accepted Answer

AI agents operate within limited context windows and have no native persistent memory. Every new session starts from zero. Exogram solves this with a semantic ledger — a verified, encrypted, conflict-checked memory vault that persists across every session, every model, and every framework. The more Exogram is used, the more ledger entries are stored, and the richer the context becomes.

Question 12

How do you prevent AI agents from going rogue?

Accepted Answer

AI agents go rogue when they operate without governance — no guardrails, no execution control, no truth verification. Exogram prevents this with deterministic execution gating: every proposed action must pass through four layers of verification (EAAP protocol) before execution is permitted. The agent cannot bypass the control plane. No action reaches production without cryptographic approval.

Question 13

How does Exogram improve AI context and inference over time?

Accepted Answer

Every fact stored in Exogram's semantic ledger enriches the context available to future evaluations. The more Exogram is used, the more verified knowledge accumulates — improving contradiction detection, relevance scoring, and contextual understanding. Unlike static memory layers, Exogram's growing ledger creates compounding intelligence: better context leads to better meaning extraction, which leads to better inference and judgment.

Question 14

What happens when AI agents hallucinate or contradict known facts?

Accepted Answer

When an AI agent proposes an action that contradicts verified facts in the Exogram ledger, the action is blocked with a 409 Conflict response. Exogram's conflict detection is deterministic — it compares every proposed claim against the existing truth ledger before execution. Hallucinations are caught before they cause damage, not after.

Question 15

How is Exogram different from Mem0 or Zep memory layers?

Accepted Answer

Mem0 and Zep are memory layers — they store and retrieve context for AI agents. Exogram is a governance control plane. It doesn't just store context — it verifies facts, detects contradictions, scrubs PII, enforces constraints, and cryptographically gates execution. Mem0 remembers. Exogram governs. The difference is the difference between a filing cabinet and a security checkpoint.

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