Question 1

What is Klio?

Accepted Answer

Klio is a memory layer for AI agents. It captures what your agents learn, stores it, and serves it back through MCP so your agents remember across sessions and share context across tools — which is what keeps them reliable. Self-hosted, that memory is encrypted at rest under a key you own.

Question 2

Does my data leave my machine?

Accepted Answer

No. Klio is local-first: self-hosted, memory is stored on your machine and encrypted at rest under a key you own. Nothing leaves unless you explicitly opt into Klio Cloud, where memory lives on our infrastructure under keys we manage.

Question 3

How is Klio different from mem0, Zep, or observability tools?

Accepted Answer

Memory tools like mem0 and Zep recall for a single agent. Observability tools watch output after the agent acts. Klio gives multiple agents a shared, persistent memory — preventing drift at the source instead of recalling for just one agent or flagging problems after the fact.

Question 4

How long does it take to set up?

Accepted Answer

One command: `npx @klio-tech/klio init`. It wires Klio into Claude Code, Cursor, or Codex and starts remembering from the next session.

Question 5

Which agents does Klio work with?

Accepted Answer

Klio is MCP-native, so it works with Claude Code, Cursor, Codex, and any MCP client out of the box.

Question 6

Can I change the embedding model?

Accepted Answer

Yes. Embeddings are pluggable per space — nomic-embed-text by default, with snowflake-arctic-embed2, OpenAI text-embedding-3-small, and others supported. Pick the model that fits each store.

Question 7

Does Klio run on Windows?

Accepted Answer

The self-hosted engine runs anywhere Docker does, including Windows via WSL2. If you’d rather not run anything locally, Klio Cloud works from any OS with zero install.

Question 8

Is it really encrypted?

Accepted Answer

It depends where you run it, so here is the honest split. Self-hosted: memory is encrypted at rest under a key you own, and every write is chained with SHA-256, so the history is tamper-evident and inspectable. Klio Cloud: memory is encrypted in transit over TLS and at rest at the infrastructure level, secrets and PII are redacted before storage, and every org is isolated — but the keys are ours, not yours, and Cloud writes are not hash-chained today.

Feature	Vex	Guardrails AI
Schema validation	—	✓
Structural output enforcement	—	✓
Custom validators	✓	✓
Production monitoring	✓	—
Behavioral drift detection	✓	—
Auto-correction	✓	—
Hallucination blocking	✓	—
Framework agnostic	✓	✓
Zero-latency async mode	✓	—

Vex vs Guardrails AI

Key Differences

Vex

Guardrails AI

The Verdict