v1.0.1 — September 25, 2026

Release notes for Meko v1.0.1 — Labs, datapack Analytics, WorkbenchLM tool use, and Standard on AWS Marketplace.

This page covers the Meko portal, API, and platform. For Installer, MCP server, and agent skills updates, see the Installer release notes.

Labs — Open Labs in the sidebar and launch Review a PR with AgentK. You build context in a datapack, share it with AgentK, read the review, and choose which extracted memories to keep. You can promote one memory for the team. A datapack you create in the lab counts against your plan. Free accounts use the shared AgentK. A dedicated AgentK needs a paid plan.
WorkbenchLM tool use — WorkbenchLM chat can call Meko tools while it answers. A read runs immediately. Saving a memory does too. Deleting a memory, promoting a memory, or updating the datapack waits until you choose Allow. Deny leaves it unchanged.
Standard on AWS Marketplace — On Settings > Pricing, a Free account can upgrade to Standard ($25/month) through AWS Marketplace. After you subscribe, finish account setup in Meko. Until you do, the plan stays on Free. Stripe is marked coming soon.

Delete a knowledge-base file — knowledgebase_delete_document deletes one uploaded file. You can make the same delete with an API key.

Datapack Analytics — The Analytics tab now also shows context size, a memory breakdown, and recent search activity. It already showed token savings and match quality. Your datapacks no longer shows an account-wide efficiency tile, or a context badge of 0 on every card.

Knowledge-base upload limits — Storage rejects a file that is too large or the wrong type. A client that uploaded with a presigned PUT must use the presigned POST.

Long conversations — You can add or delete a message after a conversation's stored history exceeds its size limit. Reading or updating that conversation can still fail while the history is over the limit. Failures no longer interrupt other datapacks.
Search embeddings — Search embeds your query with the same model as the index it searches.
Promoted memories — memory_search returns memories you promoted, along with your private memories.
Conversation writes — If a write cannot resolve a datapack, the call fails instead of accepting the message and dropping it.