Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.
Graphiti
Promising OSS MCP tool for agent knowledge graphs with strong docs/interop but limited security as self-hosted early-stage project.
Viable option — review the tradeoffs
Your agents lose context across sessions because vector search can't capture evolving relationships or historical changes in dynamic conversations.
Excellent for dynamic agent memory with low-latency hybrid search; early-stage quirks like manual group_id setup for multi-tenancy.
Agents need to reason over multi-hop relationships and time-sensitive facts without full graph recomputes.
High adaptability for interactive apps; dashboard helps debugging but lacks enterprise SLAs.
Limited Security
Self-hosted OSS lacks built-in auth/encryption; expose only locally or add your own security layer.
Graphiti excels in dynamic, real-time updates vs GraphRAG's static batch processing.
Need continuous incremental updates and temporal queries for live agents.
Static document summarization with LLM-heavy retrieval.
Multi-Tenant Cross-Contamination
Graphs mix without explicit group_id namespacing; always set group_id per user/project to isolate contexts.
Trust Breakdown
What It Actually Does
Graphiti builds time-aware knowledge graphs from user chats and data, giving AI agents long-term memory to recall facts, relationships, and history accurately. It supports real-time updates and fast searches for interactive apps like chatbots.
Promising OSS MCP tool for agent knowledge graphs with strong docs/interop but limited security as self-hosted early-stage project.
Fit Assessment
Best for
- ✓memory-storage
- ✓knowledge-retrieval
- ✓database-query
Not ideal for
- ✗rate limit under burst load above 100 RPM
Known Failure Modes
- rate limit under burst load above 100 RPM
Score Breakdown
Protocol Support
Capabilities
Governance
- data-isolation-multi-tenant