ZBS Index What actually exists in applied AI, with the source next to it

mcp server

io.github.Beever-AI/beever-atlas

Open-source LLM knowledge base: team chat into a typed knowledge graph and auto-generated wiki.

Description as published by the maintainer. Source

  • version 0.3.0
  • active
  • memory and context

active — Most recent push to the repository was 2026-08-06. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 437 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-06 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 52 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.3.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-13 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License Apache-2.0 Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-06-13 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

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These share tags the maintainers applied themselves, such as agent-memory, google-adk, microsoft-teams, agents. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: agent-memory, agents, discord-bot, fastapi, gemini, google-adk, knowledge-base, large-language-models, llm, mattermost, mcp, mcp-server, microsoft-teams, neo4j, open-source, python, rag, react, slack-bot, wiki.

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Sources

  1. Beever-AI/beever-atlas on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.