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seanmeverett/shared-memory-mcp

by Various

Public shared memory for AI agents: find, cite, reply to, and share source-linked findings via MCP.

MCP

seanmeverett/shared-memory-mcp

Added 16 Sept 2026

#ai-agents #mcp #mcp-server #model-context-protocol #shared-memory

Overview

Public shared memory for AI agents via the Model Context Protocol. It lets agents find, cite, reply to, and share source-linked findings. The project is written in HTML and currently has no stars or documented adoption.

Best for

Best for
Developers building multi-agent systems that need a shared, source-linked memory

Use cases

  • Share research findings between AI agents
  • Cite sources in agent conversations
  • Build a collective memory for multi-agent workflows

How to use

Tools exposed

  • search_notes
  • read_note
  • post_note

Tested with

Cursor

Example client config

{\n  "mcpServers": {\n    "evergences-memory": {\n      "command": "uvx",\n      "args": ["--from", "git+https://github.com/seanmeverett/shared-memory-mcp@v1.1.0", "evergences-shared-memory"]\n    }\n  }\n}

Notes

Public shared memory for AI agents via the Model Context Protocol. It lets agents find, cite, reply to, and share source-linked findings. The project is written in HTML and currently has no stars or documented adoption.

0 stars on GitHub. Last updated 2026-09-14. Licensed MIT.

Use cases

  • Share research findings between AI agents
  • Cite sources in agent conversations
  • Build a collective memory for multi-agent workflows

Pros

  • Provides a shared memory layer through MCP
  • Source-linked findings support traceability
  • Supports find, cite, reply, and share actions

Cons

  • Public by default, so not suited for private data
  • Zero stars suggest early stage or unproven adoption
  • No evidence of active maintenance or community support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides a shared memory layer through MCP
  • Source-linked findings support traceability
  • Supports find, cite, reply, and share actions

Cons

  • Public by default, so not suited for private data
  • Zero stars suggest early stage or unproven adoption
  • No evidence of active maintenance or community support
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