Semantic Kernel vs Zep
Detailed side-by-side comparison to help you choose the right tool
Semantic Kernel
Agent Frameworks
SDK for building AI agents with planners, memory, and connectors.
Starting Price
Custom
Zep
Memory & State
Temporal knowledge graph and memory store for assistants.
Starting Price
Custom
Feature Comparison
| Feature | Semantic Kernel | Zep |
|---|---|---|
| Category | Agent Frameworks | Memory & State |
| Pricing Plans | 11 tiers | 19 tiers |
| Starting Price | ||
| Key Features |
|
|
Semantic Kernel - Pros & Cons
Pros
- ✓First-class support for C# and .NET alongside Python
- ✓Backed by Microsoft with enterprise-grade stability
- ✓Plugin architecture makes it easy to extend with custom skills
- ✓Strong integration with Azure AI services and OpenAI
- ✓Well-suited for enterprise environments already using Microsoft stack
Cons
- ✗Smaller community compared to Python-first frameworks
- ✗Documentation can be fragmented across C# and Python versions
- ✗Less mature agent orchestration compared to dedicated agent frameworks
- ✗Azure-centric patterns may not suit multi-cloud strategies
Zep - Pros & Cons
Pros
- ✓Specialized long-term memory for AI assistants and chatbots
- ✓Automatic summarization of conversation history
- ✓Entity extraction for structured knowledge retention
- ✓Open-source with self-hosting option
- ✓Purpose-built for conversational AI memory management
Cons
- ✗Narrowly focused on conversational memory use cases
- ✗Self-hosting requires additional infrastructure
- ✗Cloud service pricing for production workloads
- ✗Integration requires adapting your application's session management