Temporal knowledge-graph memory infrastructure for production AI agents
Advisor score
Documented editorial evaluation
The decision
Zep earns a shortlist for teams that need durable, time-aware agent context and can validate memory as a governed data system. Start with synthetic identities, define correction and deletion service levels, and forecast credits from real episode sizes.
Best for
Agents needing cross-session memory; Teams modeling changing relationships.
Choose something else if
High-stakes memory without correction workflows; Teams unable to govern behavioral data
Evidence
Editorial research pending · 8.0/10
Pricing checked
From $125 · 2026-09-01
Free access is available, with limits.
Yes. Prototype includes 10,000 monthly credits, two projects, one Memory MCP seat, and variable service limits.
Community choice
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Zep turns conversations and business events into time-aware agent memory, but extraction quality, stale facts, deletion, credit usage, and the deployment trust boundary need controlled evaluation.
Zep earns a shortlist for teams that need durable, time-aware agent context and can validate memory as a governed data system. Start with synthetic identities, define correction and deletion service levels, and forecast credits from real episode sizes.
Create 100 synthetic users with changing employers, preferences, aliases, contradictions, deletions, and access boundaries. Measure extraction precision, temporal ordering, corrections, forbidden cross-user retrieval, deletion, ingestion latency, retrieval usefulness, credits per accepted memory, and correction effort.
Personal Recommendation
Zep earns a shortlist for teams that need durable, time-aware agent context and can validate memory as a governed data system. Start with synthetic identities, define correction and deletion service levels, and forecast credits from real episode sizes.
Try the recommendation
Temporal memory model
Overall Score
Editorial Review Framework
Overall Score
8.0
Ease of Use
7.6
AI Quality
8.0
Features
8.4
Speed
8.0
Integrations
8.4
Value for Money
8.0
Customer Support
7.6
Learning Curve
7.4
Recommended Because…
Temporal memory model
Scores use a 0-10 editorial scale: 9–10 exceptional, 8–8.9 strong, 7–7.9 capable with material tradeoffs, 6–6.9 limited fit, and below 6 not recommended. Scores publish only when a documented evaluation supports them.
Reusable trial worksheet
Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.
Confirm the tool meets every must-have workflow and stakeholder requirement.
Review starting point: Agents needing cross-session memory; Teams modeling changing relationships; Enterprises comparing cloud and private deployment
Run the same representative work you would use in production; do not score a polished demo.
Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.
Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.
Review starting point: Zep includes 10,000 monthly prototype credits. Flex is $125 per month with 50,000 credits, and Flex Plus is $375 with 200,000. Extra credits, rate limits, projects, logs, Memory MCP seats, and features vary. Episode size determines ingestion credits; Enterprise is negotiated. Reviewed September 1, 2026.
Define an acceptance threshold, test known answers and edge cases, and record every correction.
Review starting point: Editorial quality signals: features 4.2/5; AI quality 4.0/5. Validate these signals in your own work.
Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.
Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.
Test the real handoffs, permissions, failure states, and export path your team depends on.
Review starting point: Python, TypeScript, MCP, LangGraph, OpenAI, Anthropic
Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.
Review starting point: Extraction errors become durable context; Episode credits complicate forecasting; Private deployment is enterprise-led
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Evaluation
Research-based
Price posture
From $125/month
Reviewed
2026-09-01
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Editorial freshness
Pricing and material product claims were checked September 1, 2026.
Community evidence
Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.
No approved community evidence yet. Be the first verified user to contribute.
Zep offers a limited prototype plan with 10,000 monthly credits; production self-serve and enterprise plans are paid.
Credits are based mainly on Episode size. Test representative payloads because larger Episodes consume multiple credits.
Zep builds a temporal graph of entities, relationships, and episodes, then combines graph and semantic retrieval.
Zep advertises bring-your-own-cloud enterprise deployment and customer-managed encryption-key options; verify architecture and contract terms.
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