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

mcp server

hypermnesia-mcp

Persistent memory for Claude — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.

Description as published by the maintainer. Source

  • version 4.17.1
  • active
  • retrieval
  • memory and context
  • evaluation

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 70 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 29 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 4.17.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-02 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT 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 2026-08-02 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

  • Zikkaron — last commit 2026-04-01, shares causal-inference, cognitive-architecture, memory
    Biologically-inspired persistent memory engine for Claude Code MCP agents
  • io.github.alibaizhanov/mengram — last commit 2026-07-30, shares cognitive-architecture, episodic-memory, llm-memory
    Long-term memory for AI agents: semantic facts, episodic events, and procedural workflows
  • DAG Studio MCP — last commit 2026-07-20, shares causal-inference
    Causal DAG analysis: backdoor paths, adjustment sets, bias simulation. Validated against dagitty.
  • Bhived MCP — last commit 2026-07-14, shares agent-memory-system
    Shared knowledge graph, skills, and tool discovery for AI agents through the Model Context Protocol.
  • io.github.GCTRL-TECH/gctrl — last commit 2026-08-06, shares agent-memory-system
    Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens.
  • io.github.dcostenco/prism-coder — last commit 2026-08-07, shares cognitive-architecture, memory, vector-search
    Session memory, knowledge search, Brave Search, Gemini AI, and code transforms for AI agents
  • io.github.dcostenco/prism-mcp — last commit 2026-08-07, shares cognitive-architecture, memory, vector-search
    Session memory, knowledge search, Brave Search, Gemini AI, and code transforms for AI agents
  • Connapse — last commit 2026-07-21, shares retrieval-augmented-generation, vector-search
    Self-hosted knowledge backend for AI agents with hybrid search and MCP tools
  • io.github.HaseebKhalid1507/velocirag — last commit 2026-04-05, shares retrieval-augmented-generation, vector-search
    Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
  • GoodMemory — shares llm-memory, long-term-memory, memory
    Durable user/project memory for MCP clients: recall context and remember selected facts.

These share tags the maintainers applied themselves, such as causal-inference, cognitive-architecture, memory, neuroscience. 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.

Also from cdeust

How the author describes it

Topics the maintainer set on GitHub: agent-memory-system, agent-skills, causal-inference, claude-code, codex, cognitive-architecture, cognitive-science, episodic-memory, gemini-cli, hopfield-network, llm-memory, long-term-memory, mcp-server, memory, model-context-protocol, neuroscience, persistent-memory, predictive-coding, retrieval-augmented-generation, vector-search.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. cdeust/Cortex on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.