Zaxy vs Zep: Which is Better in 2026?
A comprehensive comparison of Zaxy and Zep covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Zaxy if:
- →You need a broader feature set (8 features vs 6)
- →You need append-only, hash-chained event log as the single source of truth or every recall is a cited memory checkout linking back to the source event
Choose Zep if:
- →You want more affordable paid plans (from $125/mo)
- →You need temporal context graph tracks facts as they change over time or ingests chat history, business data and user behaviour
ChatGPT already recommends Zaxy or Zep. Does it recommend yours?
If you're building an AI tool, run a free AI-visibility scan on your own product — we ask ChatGPT across 5 prompt angles and score how often you get named. ~30 seconds, no signup, no card.
Zaxy vs Zep: At a Glance
Pricing Comparison: Zaxy vs Zep
Understanding the pricing differences between Zaxy and Zep is crucial for making the right choice. Here's how their plans compare side by side.
Zep Pricing
💡 Pricing takeaway: Both Zaxy and Zep offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Zaxy and Zep stacks up.
What Makes Each Tool Unique
🔵 Unique to Zaxy
Features available in Zaxy but not in Zep:
- ✓Append-only, hash-chained event log as the single source of truth
- ✓Every recall is a cited Memory Checkout linking back to the source event
- ✓Governed evolution gate with auto, propose, or review modes
- ✓Outcome loop turns agent successes and failures into cited preventive rules
- ✓Idle-time crystallization merges near-duplicates without runtime cost
- ✓Fleet memory plane with trust tiers and visibility scopes
- ✓Reversible human edits and rollbacks; verified forgetting via crypto-erasure
- ✓49 MCP tools; auto-wires every detected agent harness on install
🟣 Unique to Zep
Features available in Zep but not in Zaxy:
- ✓Temporal context graph tracks facts as they change over time
- ✓Ingests chat history, business data and user behaviour
- ✓Sub-200ms retrieval latency
- ✓Open-source Graphiti core with 20k+ GitHub stars
- ✓Published LoCoMo and LongMemEval benchmark results
- ✓SOC 2 Type II, HIPAA BAA and VPC deployment
Use Case Recommendations
Best for: Zaxy
Zaxy is an MIT-licensed memory substrate for fleets of AI agents, built around an append-only, hash-chained event log it calls Eventloom. Everything the system exposes — recall, rules, consolidated knowledge — is a projection of that log, so deleting a projection is safe: replay rebuilds it, and nothing authoritative lives anywhere else. Each recall is a Memory Checkout that returns cited results with a citation URI pointing back to the exact event, and each change is itself a hash-sealed event, which makes the whole memory replayable, rollback-able, and auditable. The governance model is the distinguishing feature. Memory only changes through an evolution gate configurable as auto, propose, or review, so an agent cannot silently rewrite what the fleet believes. An outcome loop lets agents report success or failure and turns lessons into cited preventive rules; idle-time crystallization merges near-duplicates without runtime cost; a fleet memory plane propagates rules across agents with trust tiers and visibility scopes; human edits and rollbacks are reversible cited events that leave originals intact; and verified forgetting uses crypto-erasure to destroy a payload key while the chain still verifies. It installs via a shell script that wires up every agent harness it detects, or via uvx, pip, or MCP config, and ships 49 MCP tools. The vendor publishes benchmark numbers with unusual candour, reporting LongMemEval-S at 0.90 with a gpt-5 reader on the full 500 and explicitly retracting prior oracle-mode claims.
Ideal use cases:
- •Teams or individuals who need append-only, hash-chained event log as the single source of truth
- •Teams or individuals who need every recall is a cited memory checkout linking back to the source event
- •Teams or individuals who need governed evolution gate with auto, propose, or review modes
- •Teams or individuals who need outcome loop turns agent successes and failures into cited preventive rules
- •Anyone focused on open-source workflows
- •Anyone focused on mcp workflows
Best for: Zep
Zep is a managed memory layer for AI agents built on temporal context graphs rather than a vector store with a similarity search bolted on. The distinction matters for the failure it addresses: an agent that retrieves the most semantically similar past message will happily surface a fact that was true six months ago and has since been superseded. Zep's graph tracks facts across time, so a superseded fact is recorded as superseded rather than silently competing with the current one, and it ingests chat history, business data and user behaviour into the same structure. The open-source foundation, Graphiti, crossed 20,000 GitHub stars in under twelve months, which gives the approach a public implementation to inspect rather than only a marketing claim. Around the graph sit the Context Lake and the Context Graph Engine, with sub-200ms retrieval quoted as the latency budget — the number that decides whether a memory layer can sit in the request path of a conversational agent at all. The company publishes benchmark results on LoCoMo and LongMemEval, the two standard long-running-agent memory benchmarks, rather than asserting quality. Compliance is SOC 2 Type II with a HIPAA BAA available, and deployment can be Zep's cloud or your own VPC. Self-serve plans are credit-metered with 30-day rollover and auto top-up, and the company offers enterprise terms at emerging-company pricing for funded startups.
Ideal use cases:
- •Teams or individuals who need temporal context graph tracks facts as they change over time
- •Teams or individuals who need ingests chat history, business data and user behaviour
- •Teams or individuals who need sub-200ms retrieval latency
- •Teams or individuals who need open-source graphiti core with 20k+ github stars
- •Anyone focused on agent-memory workflows
- •Anyone focused on knowledge-graph workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Zaxy and Zep aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
This page ranks for "Zaxy vs Zep" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing for $19 one-time — no subscription, nothing to cancel — and get a Featured badge, top placement in your category, and a permanent dofollow backlink. Prefer it ongoing? Monthly is one click away on the next page.
Frequently Asked Questions
Is Zaxy better than Zep?
It depends on your needs. Zaxy offers 8 key features including Append-only, hash-chained event log as the single source of truth and Every recall is a cited Memory Checkout linking back to the source event, while Zep provides 6 features including Temporal context graph tracks facts as they change over time and Ingests chat history, business data and user behaviour. Zaxy uses a free model with a free tier, while Zep is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is Zaxy cheaper than Zep?
Zaxy doesn't have standard paid plans, while Zep starts at $125/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Zaxy and Zep together?
Yes, many users combine Zaxy and Zep in their workflow. Zaxy excels at append-only, hash-chained event log as the single source of truth, while Zep shines with temporal context graph tracks facts as they change over time. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Zaxy and Zep?
While both are ai agent infrastructure tools, Zaxy emphasizes append-only, hash-chained event log as the single source of truth, whereas Zep is known for temporal context graph tracks facts as they change over time. The best choice depends on your specific workflow and feature priorities.
Learn More
📬 Get the best new AI tools delivered weekly
One concise email with fresh launches, trending picks, and featured standouts.