Memory Layer
Exogram vs Letta (formerly MemGPT)
“Infinite context needs strict governance.”
What Letta (formerly MemGPT) Does
- •Letta (MemGPT) creates stateful AI agents that manage their own hierarchical memory.
- •Treats LLMs like operating systems, dynamically paging context in and out to simulate infinite memory.
- •Massively increases agent autonomy, allowing them to formulate plans based on deep historical context.
- •Does not provide an execution firewall to ensure those hyper-autonomous plans are safe.
What Exogram Does
- ▸Exogram acts as the enforcement boundary for Letta agents.
- ▸As Letta scales autonomy, the risk of semantic drift and compounded hallucination scales with it. Exogram mathematically halts execution errors.
- ▸Ensures that an agent with "infinite memory" doesn't execute an infinitely damaging action.
Key Differences
| Dimension | Letta | Exogram |
|---|---|---|
| Function | OS-level Memory Paging | Execution Gating & Admissibility |
| Autonomy Vector | Increases Autonomy | Governs Autonomy |
The Verdict
Use Letta to build brilliant, long-running contextual agents. Use Exogram so you can actually trust them in production.
Is Letta (formerly MemGPT) vulnerable to execution drift?
Run a static analysis on your LLM pipeline below.
STATIC ANALYSIS
Frequently Asked Questions
Is infinite memory dangerous for AI?
Memory itself isn't dangerous, but high-context autonomy increases the surface area for latent hallucinations to trigger destructive actions. A governance layer is mandatory.