Pieces vs Zep (2026)

Pieces

by Pieces

Zep

by Zep AI

Pros

• ✓Captures context automatically from email, chat, meetings, browsers and developer tools, so standups, recaps and meeting prep come from what actually happened rather than manual notes.
• ✓One-click MCP connections carry the same memory to Claude, Cursor, GitHub Copilot, Codex and more than a dozen other clients, with unlimited MCP use on Pro.
• ✓Memories are stored on the device by default, capture can be limited by app and website, and the company states it never trains its models on customer content.

Limitations

• –There is no free plan: the 7-day trial requires a card, and continued use costs $18.99 per user per month on Pro or $169.99 per year.
• –Shared team memory is still on the roadmap, so Enterprise today adds governance and provider controls rather than pooled context across people.
• –Capture runs continuously from the focused app, the clipboard and meeting audio, so teams need to set app and website exclusions before a wider rollout.

Pros

• ✓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 When information is updated or contradicted, Zep invalidates outdated facts while preserving historical context, making it more accurate than vector-only memory systems for complex multi-session agent workflows.
• ✓Zep publishes retrieval accuracy of 94.7% at 155ms on LoCoMo and 90.2% at 162ms on LongMemEval, its own measurements on two industry benchmarks. Single-shot retrieval avoids the slower agentic tool-call loops used by some memory systems.
• ✓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 named enterprise customers including Samsung, Zscaler and HoneyBook.

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, and paid plans auto-purchase more credits whenever the balance falls below 20% - Flex adds 10,000 credits at $25, Flex Plus 40,000 at $75 - so monthly spend is not capped.
• –Self-hosted Graphiti requires Docker, FalkorDB or Neo4j, and LLM API key management. The managed Memory MCP Server removes that setup but is metered in per-account MCP seats that vary by plan, and custom OIDC and UserGroup ABAC require the Enterprise plan.