Independently verified against live vendor data on Jul 5, 2026.
Transparency
Partial
Contract
Monthly or Annual
Data training
Not Disclosed
Autonomy
Autonomous
Capabilities
data-analysisautonomousdeep-research
Pros & Limitations
Editorial assessmentPros
- ✓Temporal knowledge graph automatically tracks how facts change over time. When information is updated or contradicted, Zep invalidates outdated facts while preserving historical context, making it more accurate than vector-only memory systems for complex multi-session agent workflows.
- ✓Benchmark-leading retrieval with 80.32% accuracy at 189ms on LoCoMo and 63.8% on LongMemEval versus Mem0's 49%. Delivers measurably better temporal reasoning at lower latency using single-shot retrieval with no slow agentic tool-call loops.
- ✓Graphiti MCP server gives Claude Desktop, Cursor, and other MCP clients persistent knowledge graph memory across sessions. Python, TypeScript, and Go SDKs with webhook support and no agent framework lock-in, backed by Fortune 500 customers including AWS and Samsung.
Limitations
- ⚠Steep pricing jump from free tier (10,000 credits per month for prototyping) to Flex at $125 per month ($104 annual) with no intermediate tier. Early-stage teams that outgrow free credit limits face a significant cost increase with no middle-ground option.
- ⚠Credit-based pricing makes costs difficult to forecast at production scale. Episodes consume 1 credit per 350 bytes with auto-topup charges at 20% of monthly allocation, requiring careful per-request credit monitoring to avoid unexpected billing.
- ⚠Self-hosted Graphiti requires Docker, FalkorDB or Neo4j, and LLM API key management. Teams seeking a fully managed zero-infrastructure MCP memory solution face meaningful setup and operational overhead before reaching production.
Technical Details
Deployment
cloudself-hostedapi
Model architectureLLM-agnostic (works with OpenAI, Anthropic, Gemini, Groq)
Avg setup timeUnder 5 minutes (free tier with full API access, no credit card, three lines of code to production)
Autonomous rateAutomatically extracts entities, relationships, and facts from conversations and business data without manual management; invalidates outdated facts as information changes; retrieves and assembles relevant context for agents at under 200ms P95 latency.
MCP compatibleYes
Integrations
PythonTypeScriptGoLangChainLangGraphCrewAIClaudeOpenAIGeminiGroq
Security
SOC 2 Type IIHIPAA
Similar agents
Industries
SaaSEnterpriseB2BDevTools
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