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Local-first shared memory for AI coding agents: one searchable store, served over MCP. MIT.
Cross-Agent Memory is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 56/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding Cross-Agent Memory to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
See source docsReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-25T08:29:02.117659Z",
"publishedAt": "2026-10-25T08:29:02.117659Z",
"statusChangedAt": "2026-10-25T08:29:02.117659Z"
}
},
"server": {
"name": "io.github.indamices/cross-agent-memory",
"title": "Cross-Agent Memory",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.0",
"repository": {
"url": "https://github.com/indamices/cross-agent-memory",
"source": "github"
},
"websiteUrl": "https://github.com/indamices/cross-agent-memory#readme",
"description": "Local-first shared memory for AI coding agents: one searchable store, served over MCP. MIT."
}
}