Self-hosted AI memory server. Persistent memory on your hardware, not the cloud.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-agenerationforwordz-tech-strata": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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Self-hosted AI memory server. Persistent memory on your hardware, not the cloud.
No automated test available for this server. Check the GitHub README for setup instructions.
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Self-hosted AI memory server. Your thoughts, your hardware, your data.
Your AI forgets everything the moment the session ends. Strata fixes that. It gives any MCP-compatible AI a persistent memory that lives on YOUR hardware - not in the cloud, not on someone else's server. Search by meaning, attach real files, and run it all on a Raspberry Pi.



v2.0 taught Strata who's talking. v2.2 teaches it to scale, audit, and remember your past.
read / write / delete / admin / kill permissions. You stop sharing one key across every tool. Manage them from /admin/agents./api/*. Any agent with write or kill permission can pull the brake; only a human admin can flip it back on. Built for the moment a tool goes rogue./constellation. Sacred-geometry layout (Flower of Life background, dodecahedron clusters, Fibonacci sphere distribution), per-agent colors, live activity stream, and a kill-switch indicator that desaturates the whole scene when MCP is offline.strata system user owns the database with mode 600. SSH users can no longer bypass the API by editing the SQLite file directly.STRATA_DEMO_MODE=true and the dashboard accepts blank passwords (the login screen still renders so visitors can see the auth feature exists).New in v2.2:
STRATA_DB_BACKEND=postgresql for production. PostgreSQL handles concurrent multi-agent writes natively (no more write queue), and pgvector does similarity search IN the database with HNSW indexes. Scales to 1 million+ thoughts.data/audit/. Full replay tape: who searched what, which thoughts came back, how long it took. This is the transparency layer — trace exactly how an AI built its understanding of your data. View via GET /api/audit.capture_legacy. These get negative IDs (-1, -2, -3...) and live in the same constellation alongside your current thoughts. Your AI memory doesn't start at install day — it reaches back as far as you want. Click "THOUGHTS" in the constellation viewer to toggle between current and historical views.idea (brainstorms, not yet decided) and observation (patterns noticed, no conclusions drawn). The agent protocol now spells out type selection so every new user's constellation is balanced.strata_status now teaches agents about all 10 types, negative ID history, the audit log, and outcome loop tracking. No CLAUDE.md needed — the protocol IS the onboarding.Plus the v1 fe