PricingGetting Started
Runtime Governance Layer 0.07ms Authority Runtime

Exogram vs Zep

Conversation history is not governed ledger.

Interception Speed0.07 ms
Decision EngineDeterministic CPU
False Negatives0.00%
IntegrationPlug-and-Play

Executive Architecture Matrix

Side-by-side technical capability breakdown between Zep and Exogram.

Technical DimensionZepExogram Authority Runtime
Storage UnitConversations
Verified facts
VerificationNone
Conflict detection + constraint enforcement
EncryptionNone
AES-256-GCM per-user

Execution Failure Containment

How unexpected autonomous errors, injection payloads, and runaway cycles are intercepted in live production.

SQL & Data Mutations

Critical
Without Exogram:

Zep relies on natural language alignment or connection permissions. Unsanitized mutations execute against target databases.

With Exogram:

Intercepts the SQL AST in 0.07ms, enforcing strict read-only constraints and table mutation barriers.

Pre-execution SQL AST validation

Rogue API & Retry Loops

High
Without Exogram:

Agents can enter cyclical retry states upon receiving error responses, firing thousands of unauthorized tool calls.

With Exogram:

Tracks state transitions across turns, halting infinite loops and duplicate mutations on turn 2.

Cryptographic state tracking & circuit breakers

Memory Drift & Poisoning

High
Without Exogram:

Context windows accumulate hallucinations and conflicting state over long-horizon sessions.

With Exogram:

Maintains SHA-256 state hashing across all memory writes, verifying facts before persistence.

SHA-256 state hashing & dual-write sync

Latency & Compute Footprint

Deterministic CPU execution eliminates secondary LLM inference delays and API billing.

Zep Overhead
Sub-second to multi-second

Dependent on secondary model API hops, token generation, or cloud roundtrips.

Exogram In-Memory Gate
0.07 ms

Compiled deterministic bitmask logic gates running on standard host CPU.

Exogram evaluates actions inside your application process in 0.07ms with zero network hops and zero recurring token costs.

Real-World Production Scenario

Concrete breakdown of an autonomous agent failure mode in live production.

Failure Trajectory Analysis

Un-Gated Action Execution vs. Governed Autonomy Interception

Target Actor:Autonomous Agent with Zep Tools
Initial Trigger:Automated user prompt triggers high-privilege tool call in production

Without Exogram Protection

1.Agent loop generates tool call payload and invokes production system directly without pre-execution validation.
2.Probabilistic reasoning drifts on an ambiguous edge-case input or schema variance.
3.Un-gated mutation writes inconsistent or unauthorized state directly to production databases.
4.Cascade failures propagate downstream, creating silent data corruption and customer-facing downtime.

With Exogram Interception

1.Agent submits intended tool call and execution payload to Exogram Authority Runtime.
2.Exogram evaluates policy constraints inside the application process in 0.07ms (zero network hops, zero token cost).
3.Deterministic boundary intercepts unauthorized mutation before execution, halting the loop with code ERR_MUTATION_UNAUTHORIZED.
4.Immutable SHA-256 state hash receipt is signed and recorded to append-only ledger; production state remains pristine.
Business Impact Avoided:Prevented un-gated production state corruption and catastrophic recovery rollback.
simulation_kernel://exogram-runtime/autonomous-agent-with-zep-tools
ACTOR: Autonomous Agent with Zep Tools
TRIGGER: Automated user prompt triggers high-privilege tool call in production
STEP 1Agent submits intended tool call and execution payload to Exogram Authority Runtime.
STEP 2Exogram evaluates policy constraints inside the application process in 0.07ms (zero network hops, zero token cost).
STEP 3Deterministic boundary intercepts unauthorized mutation before execution, halting the loop with code ERR_MUTATION_UNAUTHORIZED.
STEP 4Immutable SHA-256 state hash receipt is signed and recorded to append-only ledger; production state remains pristine.
RESULT: Prevented un-gated production state corruption and catastrophic recovery rollback.

The Plain English Verdict

Use Zep for chat history. Use Exogram when you need facts, not conversations.

Foundational Research Behind This Comparison

Why I Built Exogram: AI Agents Need Deterministic Governance

An LLM should generate thoughts, but it should never possess unilateral execution authority. Separating reasoning from physical tool permissions is the only way to deploy agents safely.

By Richard Ewing · The AI Economist

What Zep Does

  • Zep provides long-term ledger through conversation history management and automatic summarization.
  • Enriched context retrieval from past conversations.
  • Stores conversation threads — not governed facts. No encryption. No conflict detection.

What Exogram Does

  • Exogram stores governed facts — not conversation threads.
  • Every entry is verified, encrypted, conflict-checked, and attributed with full provenance.
  • Facts are different from conversations. Conversations are raw. Facts are verified.

Is Zep vulnerable to execution drift?

Run a static analysis on your agent tool-calling pipeline below.

STATIC ANALYSIS

Frequently Asked Questions

What's the difference between storing conversations and storing facts?

Conversations are raw dialogue. Facts are extracted, verified, conflict-checked, and attributed claims. A conversation might contain "the sky is blue" and "the sky is green" — Exogram would detect the contradiction. Zep would store both.

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