Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on AWS Marketplace.
AI agents generate and consume dynamic data such as conversation histories, contextual knowledge, operational traces, and long-term memory and today that data is scattered across relational databases, vector stores, document stores, and caches that IT teams must wire together themselves. Meko replaces that stack with a single, purpose-built data layer for agentic applications. It exposes agent-native actions like "add knowledge" and "promote memory" through standard MCP interfaces, while Meko automatically manages how data is stored, indexed, and optimized underneath.
Every project lives in a Datapack: a portable, multi tenant store containing conversations, per-agent memories, uploaded knowledge files, and a traceable record of every action an agent took. Memories are private by default and shareable by choice, you promote the learnings worth keeping to Collective Memory, so when one agent picks up where another left off, it inherits not just the output but the reasoning that shaped it. Because Meko works over MCP, the same context follows you whether you're working in Claude, Cursor, Codex, or any other MCP-connected client.
Show the rest of the publisher’s description (1 more line)
Meko is architected for the bursty, unpredictable economics of agentic workloads: costs stay near zero when agents are idle and scale seamlessly when they're active, with older data automatically tiered to object storage and warmed back up on demand. Every memory read and write routes through a single MCP endpoint backed by a unified, PostgreSQL-compatible distributed database (YugabyteDB), giving regulated enterprises a complete, auditable trail of what agents learned, how they shared it, and what operations produced it - turning compliance with regulations like the EU AI Act into a property of the architecture rather than an afterthought.
Highlights
Highlighted by the publisher on AWS Marketplace.
Compounding, shareable memory: Datapacks give every agent persistent memory plus a Collective Memory layer, so what one agent learns, and why, benefits the whole team, human or AI.
Full decision traceability: Every conversation, extracted memory, and tool call is captured end to end, providing regulated enterprises with an audit ready trail for frameworks such as the EU AI Act.
Built for agentic economics: A serverless, multi tenant architecture on a real PostgreSQL compatible distributed database (YugabyteDB) keeps costs near zero when agents are idle and scales seamlessly when they are active.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
Meko subscriptions can be canceled at any time from the AWS Marketplace console. Cancellations take effect at the end of the current billing period. Meko does not offer prorated refunds for partial months. For questions contact support@mekodata.ai.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.