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Biological memory for AI agents. Pattern learning, decay, clustering, 8-drive behavior.
Persis is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. 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. The install command above is ready to copy. Review the last-pushed date and repository status before adding Persis to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add io.github.alright-alright/persis https://persis-api.aerynw.workers.dev/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-02-09T05:28:14.613662Z",
"publishedAt": "2026-02-09T05:28:14.613662Z",
"statusChangedAt": "2026-02-09T05:28:14.613662Z"
}
},
"server": {
"name": "io.github.alright-alright/persis",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"tags": [
"memory",
"cognitive",
"ai-agent",
"wasm",
"cloudflare",
"rust"
],
"tools": [
"lucian_record",
"lucian_recall",
"lucian_find_similar",
"lucian_reinforce",
"lucian_invalidate",
"lucian_drives",
"lucian_apply_drives",
"lucian_health",
"lucian_status",
"lucian_stats",
"lucian_tick",
"lucian_maintenance",
"lucian_consolidate",
"lucian_clusters",
"lucian_export"
],
"author": "AerwareAI",
"contact": "info@aerware.ai",
"license": "Proprietary",
"rateLimit": {
"note": "60 requests per minute per IP. Free during beta.",
"requests": 60,
"windowSeconds": 60
}
}
},
"icons": [
{
"src": "https://img.shields.io/badge/Persis-19FFCB?style=flat-square&labelColor=0B0F16",
"mimeType": "image/svg+xml"
}
],
"title": "Persis",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://persis-api.aerynw.workers.dev/mcp",
"type": "streamable-http",
"headers": [
{
"name": "",
"value": "{operator_id}"
}
]
}
],
"version": "0.2.3",
"repository": {
"url": "https://github.com/alright-alright/persis",
"source": "github"
},
"websiteUrl": "https://persis.aerware.ai",
"description": "Biological memory for AI agents. Pattern learning, decay, clustering, 8-drive behavior."
}
}