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  • Enhanced team efficiency and productivity
  • Traceability, efficient conversation history, resumability and more
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Examples

Hands-on labs and real-world scenarios built with Meko

Labs

Labs

Guided portal labs: build context, watch an agent use it, take the setup back to your repo.

Enhanced team efficiency and productivity

Knowledge handoff with context preserved

Agent B gets Agent A's reasoning, not just its final output. No lost context across agents.

Collective learning across runs

What worked, what didn't, and why — available on the next run when you save it.

Group/team policies and standards

Share a datapack across your team so every agent works from the same playbook.

Traceability, efficient conversation history, resumability and more

Auditable learning trail

Full chain-of-thought traceability for what agents learned and how it flowed — ready for EU AI Act compliance.

Conversation history with tiering

Recent history in-database for fast recall; older history auto-tiered to S3 to control costs.

Agent resumability

Persist full agent and sub-agent state in Meko so any run can be paused and resumed reliably.

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