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

mcp server

Bhived MCP

Shared knowledge graph, skills, and tool discovery for AI agents through the Model Context Protocol.

Description as published by the maintainer. Source

  • version 1.2.0
  • active
  • memory and context

active — Most recent push to the repository was 2026-07-14. 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 36 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 2026-07-14 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 2 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 1.2.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-07 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 2026-07-07 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

Related, by what their authors tagged them

  • io.github.cdeust/hypermnesia-mcp — last commit 2026-08-06, shares agent-memory-system
    Persistent memory for Claude — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
  • io.github.1111111111111111111114oLvT2/inquisitor — last commit 2026-08-05, shares ai-skill
    Hypothesis-driven problem solving for AI agents: probe, falsify, escalate.
  • Synap Memory — last commit 2026-08-06, shares agent-memory, ai-memory
    Persistent memory for AI agents — log and recall conversation context over MCP.
  • Docmancer — last commit 2026-08-05, shares agent-memory, ai-memory
    Local-only MCP server for source-attributed Markdown memory and documentation retrieval.
  • frappucc1no-recall-loom-recallloom — last commit 2026-08-06, shares agent-memory, ai-memory
    Use when a task involves continuing a project, restoring project context, maintaining file-based project memory, updati…
  • io.github.aayoawoyemi/ori-memory — last commit 2026-07-30, shares agent-memory, ai-memory
    Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
  • io.github.alex-feel/mcp-context-server — last commit 2026-08-01, shares agent-memory, ai-memory
    An MCP server that provides persistent multimodal context storage for LLM agents.
  • io.github.alibaizhanov/mengram — last commit 2026-07-30, shares agent-memory, ai-memory
    Long-term memory for AI agents: semantic facts, episodic events, and procedural workflows
  • Talamus — last commit 2026-08-05, shares agent-memory, ai-memory
    Local-first, source-grounded memory that survives AI agent sessions.
  • io.github.camgitt/memoir — last commit 2026-08-06, shares agent-memory, ai-memory
    Persistent memory for AI coding tools via MCP. Remembers across sessions and machines.

These share tags the maintainers applied themselves, such as agent-memory-system, ai-skill, agent-memory, ai-memory. 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, agent-memory-system, ai-agent, ai-agents, ai-memory, ai-skill, mcp, mcp-server, model-context-protocol.

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Sources

  1. ArtKeyAi/bhived-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.