Your snapshot
Meko's score and Enterprise Knowledge Search & AI Context Layer position
Shared context for agents that work and learn together.
Description
Meko is a data-persistence cloud platform for hybrid teams (AI agents and humans). It gives you a place to keep shared context (agent memory, conversations, and knowledge base docs) without the need for you to stitch it together yourself. We have already done this behind the scenes, so everything just works out of the box with natural language. No knowledge of SQL required. Meko stores "context," which enables sharing across agents and harnesses. Meko stores and enables you to: Save AI conversations and extract facts from them into searchable memory, so work from an earlier session doesn't have to be reprocessed from all the individual pieces of data. Easily upload documents into a hosted knowledge base, so that you don't have to write complex data pre-processing pipelines. Allow resuming your context over time or switching between LLMs and IDEs, so you can pick up where you left off. This is helpful if you run out of tokens, an LLM goes down for a while, or you want to use a different AI provider. Share agent memory and knowledge base documents with other teammates (agents or humans) selectively, so everyone can work together and learn from each other. Store agent traces in a visual portal, so you can see what the agent thought or did during conversations or agentic work. Gain access through a remote MCP endpoint, so that any MCP-capable agent (Claude, Cursor, Codex, and other AI chat apps with MCP) can use it.
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Claude Discoverability Score
Live · refreshed daily. Last refreshed#16of 61competitors
Shown to buyers in 0.0% of contested Runs.
One core score. Three important factors to discoverability.
Claude found Meko in search, but did not show it to users or invoke it.
Meko organic discovery report
See how Meko appears in Enterprise Knowledge Search & AI Context Layer, where it ranks, and how it compares with the wider Claude Connector ecosystem.
Your snapshot
Meko's score and Enterprise Knowledge Search & AI Context Layer position
Industry report
State of Agent Discovery
30-day industry report
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
As of 2026-09-28, Meko competes with Atlassian MCP, Google Drive, Notion, Microsoft 365, Slack, Superhuman Docs, Linear, Egnyte, Glean, Within, Unblocked, Guru, Hebbia, Jedify, Lloyd by The L Suite, Mem0, Ace Work, AgentContext, Agently, Agentwork, Analytics Brain, Archiveye, Arroway, AskNeedl, Brainfish, Chat.co, Circuitry.ai, Coconut Context, CreateBases, DeepJudge, GoLinks, GoSearch MCP, Griddo AX Docs, Guidde, Haystack, HelpDocs, iknow.dev, Lace Labs, Marcora: Brand Context & Writing, NeetoKB, Netchex - Mesh AI Teammates, Neulpet Live (늘펫라이브), Peerdom, Pensieve, Perfect Wiki, Playbook by GVO Cloud, POMA Grill, Qontext, Responsive, Riley, ShopMCP, Sidecloud.ai Platform, Simply Asking, Solo MCP, Synaply, Syntitan, Tennsa OS, Thor.ai, Unstructured Foundation, Vight in Claude Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.
As of 2026-09-28, Meko ranks #16 of 61 in Claude Enterprise Knowledge Search & AI Context Layer with a Discoverability Score of 0/100 (Invisible).
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.