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AI Tool Comparison
Hatz AI vs Letta
A side-by-side breakdown to help you pick the right tool for your workflow.
Hatz AI
Build and deploy AI agents for research, file analysis, HR, and RFP responses via natural language, with multi-LLM access in one SOC 2-compliant interface for SMBs and MSPs.
Agents
paid
Letta
Build agents that actually remember — facts, preferences, and past interactions persist across every session without manual context management.
Agents
freemium
Bottom Line
Letta edges ahead on rating (4.4 vs 4.3), but the right pick still comes down to which workflow you're running.
Choose Hatz AI if…
Agents
Choose Letta if…
Coding
| Attribute | Hatz AI | Letta |
|---|---|---|
| Category | Agents | Agents |
| Pricing | paid | freemium |
| Pricing Detail | Credit-based plans, tailored to company size | Open source / Free (Letta Cloud from $0.02/step) |
| Rating |
Key Features
Hatz AI
- White-label AI assistants
- Custom agent apps
- Client management
- Secure data handling
Letta
- Three-tier memory architecture: working, recall, and archival
- Self-directed memory management — agents decide what to store
- Cross-session persistence with no manual prompt engineering
- REST API and Python SDK for embedding agents in applications
- Agent builder UI for configuring memory and persona
- Open-source core with managed Letta Cloud option
Pros
Hatz AI
- •Great for resellers
- •White-label control
- •Security focus
Letta
- •Solves long-term memory without external memory databases or prompting tricks
- •Open-source core means full control over data and deployment
- •Framework-level memory is more reliable than ad-hoc RAG approaches
Cons
Hatz AI
- Agency-focused (not consumer)
- Pricing for businesses
Letta
- Memory management adds latency compared to stateless agents
- Cloud pricing is per-step — complex agents with many memory reads get expensive
- Steeper learning curve than simpler stateless frameworks