About Meko

The universal, self-learning context engine for agentic applications

Meko is a context engine: every agentic application is built from models, tools, governance and context. Models are interchangeable: you can pick, swap or mix them per task. Tools are being standardized by MCP. Context decides whether the rest pays off, and most teams still build it by hand, stitching together a database, a vector store, a RAG pipeline, a memory layer, and conversation and artifact stores.

Meko replaces that stack with one context engine. It stores, engineers, measures and governs context, the way a database does for data.

What Meko does

  • Engineered context: for each turn, Meko builds a small, high-quality context window from a large one, using semantic reranking across conversations, memory and knowledge.
  • One universal context: a datapack holds all the context for a project, team or tenant. Claude, Cursor, custom agents and people all work from the same datapack, so what one agent learns, every agent can use.
  • Self-learning: every search is scored for relevance. When recall is weak, Meko explains why and what information is missing, and closes the gap.
  • Governed and auditable: decision traces record where each piece of context came from, who added it, and why each action was taken. Learnings are promoted from private memory to shared knowledge only after approval.

What teams build on Meko

  • ADLC and software factories: shared context for software projects in flight, with development standards layered at the organization, business-unit and project level. Meko for ADLC
  • Agentic support: support communities where every answer adds to the shared context.
  • Agentic marketing: campaigns built with full customer context, in hours instead of months.
  • Agentic fraud detection: memory and context that help stop account takeover before it happens.

Built by Yugabyte

Meko is built by Yugabyte, the company behind YugabyteDB, the distributed PostgreSQL database for mission-critical applications. Meko runs on YugabyteDB, one Postgres-based engine for SQL, vector, graph and full-text search. It works with any MCP client and any LLM.

Yugabyte is headquartered in Sunnyvale, California, with offices in Tokyo, Singapore, Pune and Bangalore.

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