The question developers are actually asking in 2026

The AI memory market has consolidated. Mem0 and Zep are the two best-known players. They're well-funded, well-documented, and widely used. If you Google "AI agent memory," they show up first.

But there's a different question under the surface, one that's coming up constantly in enterprise sales conversations and regulated-industry evaluations: "What happens to the data?"

• Who has access to what agents remember?
• Can we prove we deleted a user's data when they asked?
• Is PII getting stored in our AI memory layer without us knowing?
• Can our compliance team audit what the agent knew and when?

Mem0 and Zep don't have great answers to those questions. That's not a knock — it's a design choice. They built memory retrieval infrastructure. Governance was not the problem they were solving.

This comparison is for developers evaluating all three options with compliance in the picture.

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The short version

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Memory storage: all three solve the same problem

Let's acknowledge what Mem0 and Zep do well — because they do it well.

Mem0

Mem0's core is a vector store with an extraction layer on top. When you call client.add(), it runs the conversation through an LLM that extracts key facts, stores them as embeddings, and resolves conflicts with existing memories. client.search() retrieves relevant memories by semantic similarity.

// Mem0: clean, fast, simple
const client = new MemoryClient({ api_key: process.env.MEM0_API_KEY });
await client.add("User prefers concise responses and hates jargon", { user_id: "alice" });
const memories = await client.search("communication style", { user_id: "alice" });

This is genuinely excellent for personalization use cases. The automatic fact extraction and conflict resolution work well. The ecosystem breadth — 21 framework integrations, MCP server support, AWS Bedrock, LangChain, CrewAI — is unmatched.

Graph memory (entity extraction, relationship modeling, multi-hop queries) is available on the Pro tier at $249/month. That price jump is the most-cited developer complaint about Mem0. Below Pro, you have vector search only.

Zep

Zep's differentiator is Graphiti — a temporal knowledge graph that stores every fact with a validity window. "Alice is the project lead" becomes a node with a start time. When Alice steps down, the old fact is invalidated (not deleted), and the new fact becomes current. This enables temporal reasoning: "What did the agent know about Alice's role last quarter?"

# Zep: temporal knowledge graph, single-call context retrieval
await zep_client.thread.add_messages(thread_id, messages=[
    Message(name="Alice", role="user", content="I'm stepping down as project lead next month.")
])
context = zep_client.thread.get_user_context(thread_id="thread_id", mode="basic")
Returns facts + entities relevant to the current conversation

Zep scores 63.8% on the LongMemEval benchmark versus Mem0's 49.0% — a 15-point gap driven by temporal reasoning tasks. If your use case requires tracking how facts change over time, Zep's architecture is genuinely better suited.

The trade-offs: Community Edition was deprecated in April 2025. Self-hosting now means running Graphiti plus a compatible graph database (Neo4j, FalkorDB, or Kuzu) yourself. The free managed tier provides 1,000 episode credits — which disappears in any real workflow. Enterprise pricing is custom.

Trace Continuity

Trace Continuity stores memories as text with semantic search for retrieval. The focus is not on knowledge graph sophistication or temporal modeling — it's on what happens to data before and after storage: who redacted what, who accessed what, when things expire.

// Trace Continuity: governance runs on every write
const response = await fetch('https://tracecontinuity.com/v1/memories', {
  method: 'POST',
  headers: { Authorization: Bearer ${process.env.TCL_API_KEY}, 'Content-Type': 'application/json' },
  body: JSON.stringify({
    content: "Patient John Smith (SSN 078-05-1120) prefers morning appointments.",
    agent_id: "intake-bot",
    ttl_days: 365
  })
});
// What gets stored: "Patient [REDACTED] prefers morning appointments."
// Governance events logged: PII_REDACTED (SSN), PII_REDACTED (name)
// TTL set: auto-expires after 365 days
// Audit record: write event, agent_id, timestamp, tenant_id

One API call. Every governance action happens automatically.

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The governance gap: what neither competitor solves

This is the crux of the comparison for regulated industries.

PII redaction

In a healthcare or fintech context, your AI agents are receiving inputs that may contain SSNs, credit card numbers, email addresses, phone numbers, dates of birth, names — and sending that context to be stored as memory.

Neither Mem0 nor Zep runs a PII scan before storage. If your agent passes a conversation containing "Patient DOB: 1978-04-15, SSN: 078-05-1120" to Mem0's add(), that data enters the vector store as-is.

Trace Continuity runs PII redaction as part of the write path — before anything touches storage. The original text never reaches the database. The governance event records what was redacted and when.

The distinction matters for HIPAA compliance in particular: PHI must be de-identified before being stored in systems outside the covered entity's direct control. "We run a cleanup pass afterward" doesn't satisfy that requirement.

Retention policies

HIPAA has retention requirements. GDPR requires you to delete data when you no longer have a legitimate purpose. Enterprise data governance policies often require expiry on AI-generated context.

Neither Mem0 nor Zep has configurable retention policies as a product feature. You can delete memories manually, but there's no "expire memories containing tag X after 90 days" capability built into the platform.

Trace Continuity enforces TTL at the infrastructure layer. Set ttl_days: 90 on a memory and it will be automatically purged after 90 days. Per-tenant policies can enforce maximum retention regardless of what individual agents specify.

Audit logging

When a compliance team asks "show me every time an AI agent accessed patient memory records last quarter," what does your answer look like?

With Mem0 or Zep, the answer is: "We don't have that." Neither product generates a queryable audit trail for memory operations.

With Trace Continuity, every read, write, and delete generates an immutable governance event: agent ID, tenant, timestamp, action type, what was redacted. The audit trail is available via the usage API.

Multi-tenant isolation

All three products support multi-tenancy. The difference is where isolation is enforced.

Mem0 uses namespace-level isolation: user_id or app_id parameters route queries to the right memory set. If the application layer is buggy — wrong user ID passed, no user ID passed — memories can leak across tenants.

Zep's isolation is enforced at the application level in similar ways.

Trace Continuity enforces tenant isolation at the architecture layer. The API key itself is scoped to a tenant. A mismatch between the API key's tenant and a request for another tenant's memories returns a 403 — not a filtered result, a hard rejection.

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Compliance certifications: what they do and don't cover

Mem0 and Zep both have SOC 2 Type II certification and offer HIPAA BAAs on enterprise plans. This is important and worth acknowledging.

But SOC 2 and HIPAA certifications answer a different question than governance features do.

SOC 2/HIPAA certification means: The vendor's infrastructure is secure and their processes are documented. The data you give them is handled responsibly.

SOC 2/HIPAA certification does NOT mean: Your application is compliant. If your agent stores unredacted PHI in Mem0's vector store (because Mem0 doesn't redact it), the fact that Mem0 is HIPAA-certified doesn't make that storage compliant — the PHI was stored unredacted.

Compliance certifications protect the infrastructure. Governance features protect the data at the application layer. Both matter. They're not the same thing.

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When to use each

Choose Mem0 if:

• You need the fastest path to production — Mem0 onboards in minutes
• You're building a consumer product with no regulated data
• You need ecosystem breadth — Mem0's 21 integrations (LangChain, CrewAI, AWS Bedrock, Vercel AI, etc.) are the best in class
• You don't need graph memory and $249/mo for graph is not justified
• Developer community size and documentation quality matter

Mem0's real strength: breadth, speed, community. ~52K GitHub stars. The default choice when governance is not a constraint.

Choose Zep if:

• Temporal reasoning is core to your use case — facts that change over time, validity windows, superseded facts
• You're building research tools or knowledge graph applications where Graphiti's architecture is a genuine fit
• Your team is comfortable with Python and graph database operational overhead
• You need the LongMemEval benchmark performance advantage (63.8% vs Mem0's 49.0%)

Zep's real strength: temporal knowledge graphs. The right choice when you need to model how the world changes, not just what happened.

Choose Trace Continuity if:

• You're building in healthcare, fintech, HR tech, legal, insurance, or government
• Your compliance team, legal team, or InfoSec team is involved in the evaluation
• You need PII to be handled before storage — not cleaned up afterward
• You need provable retention policies and automatic memory expiry
• You need an audit trail that can answer "what did the agent know and when?" for a compliance review
• You need GDPR-compatible deletion workflows with immutable proof
• You've been asked "how do we handle memory deletion requests?" by a lawyer or auditor

Trace Continuity's real strength: governance as infrastructure. The choice when the data question matters as much as the memory question.

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The code comparison

This is the clearest way to see the architectural difference.

Mem0 — writing memory:

await client.add([{ role: "user", content: userInput }], { user_id: userId }); // Stored as-is. No PII scan. No TTL. No audit record. 

Zep — writing memory:

await zep.thread.add_messages(thread_id, messages=[Message(role="user", content=user_input)]) 
Stored in temporal knowledge graph. No PII scan. No TTL. No audit record.
 

Trace Continuity — writing memory:

const res = await fetch('https://tracecontinuity.com/v1/memories', {   method: 'POST',   headers: { Authorization: Bearer ${apiKey}, 'Content-Type': 'application/json' },   body: JSON.stringify({ content: userInput, agent_id: agentId, ttl_days: 90 }) }); // PII scanned and redacted before storage. // TTL set: auto-purge after 90 days. // Governance event logged: who wrote what, when, what was redacted. // Tenant isolation enforced at the API key layer. 

The code differences reflect the governance architecture. You can't bolt these capabilities onto Mem0 or Zep in application code and get the same guarantee — because the guarantee comes from the infrastructure running before your code can make mistakes.

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Try the governance features yourself

The /playground demonstrates PII redaction in real time — paste text containing SSNs, credit card numbers, or emails, and see what gets stored vs. what gets redacted before storage.

It takes about 30 seconds.

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Pricing summary

Trace Continuity

Governance is included at every tier, not sold separately.

Mem0

Zep

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Bottom line

These three products have different jobs.

Mem0 is the best-in-class choice for general-purpose AI memory with minimal setup friction. It dominates on ecosystem and ease of use.

Zep is the best-in-class choice for temporal knowledge graphs — applications that need to model how facts evolve over time.

Trace Continuity is built for the question Mem0 and Zep weren't designed to answer: what happens to the data? If your answer to that question affects your company's legal and compliance posture, it's the right infrastructure.

Memory is the easy part. Governance is the hard part. Most tools solve one of those.

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Get started

Trace Continuity's free tier includes 500 memories, full PII redaction, audit logging, and retention enforcement — no credit card required.

Start free → Test PII redaction in the playground → Read the API docs →

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Further reading

• Why AI memory without governance is a ticking time bomb →
• PII redaction for AI agents: why it cannot be an afterthought →
• AI agent memory: build vs. buy for enterprise teams →