STRATA v2.2

Self-hosted AI memory server. Your thoughts, your hardware, your data.

Why Strata?

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.

What's new in v2.2

v2.0 taught Strata who's talking. v2.2 teaches it to scale, audit, and remember your past.

• Per-agent API keys - every AI agent gets its own key with granular read / write / delete / admin / kill permissions. You stop sharing one key across every tool. Manage them from /admin/agents.
• Global MCP kill switch - one toggle that locks every agent out of MCP, REST, and /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.
• 3D Constellation viewer - watch your brain think in real time at /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.
• Per-agent identity colors - each agent gets a color from a curated palette, editable from the admin panel. Colors flow through the constellation viewer so you can tell at a glance which agent is doing what.
• Encryption at rest (optional) - SQLCipher AES-256 encryption with key in a root-only file. Dormant by default; flip on with one env var and a setup script when your threat model needs it.
• File-level hardening (optional) - dedicated strata system user owns the database with mode 600. SSH users can no longer bypass the API by editing the SQLite file directly.
• Demo mode - run a public demo with 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:

• PostgreSQL + pgvector backend — SQLite is still the default for quick demos, but set 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.
• CSV audit log — every agent action is logged to daily CSV files in 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.
• Pre-Strata history (negative IDs) — import your memories from BEFORE you installed Strata using 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.
• 10 thought types — expanded from 8 types with clear descriptions that teach AI agents WHEN to use each one. Added 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.
• Updated agent protocol — 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.
• Constellation camera fix — clicking a star flies the camera past it and looks back, keeping the origin star visible in the background as an anchor.
• Demo mode improvements — agent creation and MCP kill switch now work without an admin key in demo mode.

Plus the v1 features you already know: semantic search, file vault, dedup protection, password+seed-phrase dashboard auth, dark theme, runs on a Pi.

I built this because I got tired of my AI tools forgetting everything between sessions. STRATA gives any MCP-compatible AI (Claude Code, Codex CLI, whatever comes next) a persistent brain that lives on YOUR machine. Not in the cloud. Not on someone else's server. Yours.

It runs on a Raspberry Pi 4B. Seriously. The whole thing - semantic search, file storage, embeddings - runs on a $55 computer with 4GB of RAM.

What it does

• Search by meaning - ask for "money stuff" and it finds your notes about Bitcoin, investments, and budgets. Not keyword matching. Actual understanding.
• File vault - attach real files to your thoughts. Code, documents, project archives. The thought is your index, the vault holds the goods.
• Auto-tagging - write about Docker? It tags it. Mention a URL? Tagged. You don't have to organize anything manually.
• Dedup protection - tries to save something you already saved? It catches it and warns you.
• Access tracking - see which memories actually get used vs which ones just sit there.
• Admin-only deletion - AI can read and write memories, but it CANNOT delete anything without your explicit admin key. Your data, your control.

Why I built it this way

Regular databases search by keywords. If you stored "switching careers" but search for "new job", you get nothing.

STRATA converts every thought into a 768-dimensional vector that captures what it means. Similar ideas land near each other in that vector space. So "switching careers" and "new job" and "career change" all find each other.

The model runs locally through ONNX Runtime (not PyTorch - that thing eats 1.5GB just to import on ARM). Total RAM for the embedding model is about 100-150MB, and it unloads after 5 minutes of idle time.

The file vault

This is what makes STRATA more than a note-taking app.

You capture a thought about a project. Then you attach the actual source files to it. Later, when you or your AI searches for that topic, you get the thought AND a list of every file attached to it. The AI picks which files it needs and pulls just those - it doesn't load your whole drive into memory.

Files are organized on disk like this:

data/vault/
  my-laptop/
    2026-03/
      42/
        server.py
        config.py
  my-desktop/
    2026-03/
      55/
        training_data.csv

Organized by device and month. You can browse it manually if you want. Files up to 1GB, text files capped at 5MB when returned to AI (so it doesn't blow up the context window).

Pre-Strata history (negative IDs)

Your AI memory doesn't have to start at install day. Import your past:

# Via MCP tool
capture_legacy(
    content="Decided to self-host everything after the cloud bill hit $400/mo",
    thought_type="decision",
    tags=["infrastructure", "self-hosting"],
    original_date="2024-06-15",
    source="pre-strata"
)

Legacy thoughts get negative IDs (-1, -2, -3...) while live thoughts use positive IDs. Both are fully searchable — they live in the same vector space. The constellation viewer has a toggle: click "THOUGHTS" to dim current stars and highlight your history.

CSV audit log

Every agent interaction is logged to daily CSV files in data/audit/:

data/audit/
  audit_2026-04-19.csv
  audit_2026-04-20.csv
  ...

Each row records:

• timestamp — when the operation completed (UTC)
• agent_name — which agent made the call
• agent_key_hint — masked API key (enough to identify, not enough to use)
• action — what happened (capture_thought, semantic_search, etc.)
• detail — search query or content preview
• thought_ids — which thoughts were touched
• result_count — how many results came back
• response_ms — operation duration

Query today's log via REST: GET /api/audit?limit=50

Override the directory: STRATA_AUDIT_DIR=/your/path Disable entirely: STRATA_AUDIT_ENABLED=false

PostgreSQL backend (production)

SQLite works great for getting started and single-user setups. For production with multiple agents hitting Strata simultaneously, switch to PostgreSQL:

# Install PostgreSQL 17 + pgvector
sudo apt install postgresql-17 postgresql-17-pgvector

# Create the database and user
sudo -u postgres createuser strata
sudo -u postgres createdb strata_db -O strata
sudo -u postgres psql -c "ALTER USER strata PASSWORD 'your-password-here';"

# Run the schema (creates tables, indexes, triggers)
sudo -u postgres psql -d strata_db -f strata_pg_schema.sql

# Set the backend
export STRATA_DB_BACKEND=postgresql
export STRATA_PG_PASSWORD=your-password-here

# Start Strata — it auto-detects the backend
python server.py

Migrating from SQLite to PostgreSQL

If you already have thoughts in SQLite:

python migrate_to_pg.py

This migrates all thoughts, embeddings, history, agent keys, and profiles. Your SQLite database is preserved as a backup.

Why PostgreSQL?

Try the demo first (60 seconds, no setup)

The repo ships with a pre-populated demo database: 666 curated thoughts about Strata itself, 3 sample agents with palette colors, ready to explore. No mining, no seed data hunt, no thinking about what to capture first — just clone, drop the demo DB into place, and see the constellation populated.

git clone https://github.com/agenerationforwordz-tech/strata.git
cd strata

python -m venv venv
source venv/bin/activate     # Windows: venv\Scripts\activate
pip install -r requirements.txt

# Drop the curated demo dataset into place
mkdir -p data
cp demo/strata.db data/strata.db

# Run with demo mode so blank passwords work for visitors
STRATA_DEMO_MODE=true python server.py

⏱️ First install takes 5–15 minutes. pip install -r requirements.txt downloads about 700 MB of binary wheels for the embedding model runtime (fastembed, onnxruntime, numpy, transformers tokenizer support). Don't kill the install if it appears stuck — it's downloading binaries in the background. Subsequent installs reuse the venv and take seconds. Run with pip install -r requirements.txt --progress-bar on if you want to watch the byte count tick up.

Open these in your browser:

See demo/README.md for the full demo dataset details, including how to regenerate your own.

Windows install notes

A few Windows-specific gotchas worth knowing about:

• Git "dubious ownership" error on the D: drive. If you clone Strata to D:\ or any non-system drive, Git may refuse to operate on the repo with fatal: detected dubious ownership in repository. Fix:

  git config --global --add safe.directory 'D:/Claude Code Projects/strata'
  

  (Replace the path with wherever you cloned.)
• PowerShell env vars use $env:, not export. To set the demo-mode flag and run:

  $env:STRATA_DEMO_MODE = "true"
  python server.py
  

  For persistent env vars across sessions:

  [System.Environment]::SetEnvironmentVariable('STRATA_DEMO_MODE','true','User')
  

• Stale pip processes can hold file locks in the venv during a long install. If you cancel an install and re-run it and get permission errors, kill any leftover python.exe processes via Task Manager or Stop-Process -Name python -Force and try again.

Getting started (real install, no demo data)

git clone https://github.com/agenerationforwordz-tech/strata.git
cd strata

python -m venv venv
source venv/bin/activate  # Linux/macOS
# or: venv\Scripts\activate  # Windows

pip install -r requirements.txt

# Optional: legacy fallback admin key for delete operations.
# In v2, every agent has its own key issued from /admin/agents,
# but this admin key is required for destructive operations.
export STRATA_ADMIN_KEY="different-key-for-delete-ops"

python server.py

⏱️ Same first-install warning as above — pip install -r requirements.txt is downloading ~700 MB of binary wheels for the embedding model runtime. Plan for 5–15 minutes on first install.

After the server starts, open http://localhost:4320/admin/agents to register your first agent. Per-agent keys are how AI clients connect — see the "Connecting your AI" section below.

Server runs at http://0.0.0.0:4320.

Connecting your AI

First, register the agent at http://your-server:4320/admin/agents and copy its key. Each agent should have its own key — that's how the per-agent permissions, identity colors, and audit trail work.

Claude Code — one-command install (recommended)

Strata ships as a Claude Code plugin. Add the marketplace once, then install:

claude plugin marketplace add agenerationforwordz-tech/strata-plugins
claude plugin install strata@strata-plugins

During install you'll be prompted for two things:

• strata_url — e.g. http://localhost:4320/mcp for a local install
• strata_api_key — the agent key you copied from /admin/agents

Restart Claude Code and your AI has persistent memory across every session.

Claude Code — manual MCP config (older versions)

claude mcp add --transport http strata http://your-server-ip:4320/mcp \
  --header "X-API-Key: agent-your-key-here"

Or add to ~/.claude/settings.json:

{
  "mcpServers": {
    "strata": {
      "url": "http://your-server-ip:4320/mcp",
      "headers": {
        "X-API-Key": "agent-your-key-here"
      }
    }
  }
}

Codex CLI

Codex CLI's MCP config lives in ~/.codex/config.toml (Windows: C:\Users\<you>\.codex\config.toml). Add this block:

[mcp_servers.strata]
url = "http://your-server-ip:4320/mcp"
env_http_headers = { "X-API-Key" = "STRATA_CODEX_API_KEY" }
startup_timeout_sec = 15.0
tool_timeout_sec = 60

Then set the env var that the env_http_headers line references — Codex resolves it at startup, not at config-load time:

Linux/macOS:

export STRATA_CODEX_API_KEY="agent-your-codex-key-here"

Windows (persistent across sessions):

[System.Environment]::SetEnvironmentVariable('STRATA_CODEX_API_KEY','agent-your-codex-key-here','User')

Verify with:

codex mcp get strata

You should see the entry with enabled: true.

⚠️ Known Codex CLI issue (as of v0.120.0 on Windows): the streamable HTTP transport discovers Strata's tools correctly, but codex exec may cancel actual tool calls client-side with user cancelled MCP tool call. This appears to be a Codex CLI bug, not a Strata bug — Strata's server logs show 200 OK on the MCP requests. If you hit this, report it to the Codex CLI repo. The same Strata server works fine with Claude Code, the dashboard, and direct REST calls.

How your agent learns to use Strata

Every connected agent should call strata_status as its first tool call. That tool returns a natural-language protocol that teaches the agent when to capture, when to search, how to handle the 10 thought types, and how to interpret negative-ID legacy imports. No CLAUDE.md configuration required — the tool teaches itself.

Admins can customize the protocol per-instance by writing to the system_config['agent_protocol'] row via the dashboard or the REST endpoint:

curl -X PUT http://your-server:4320/admin/api/protocol \
  -H "X-API-Key: $STRATA_ADMIN_KEY" \
  -H "Content-Type: application/json" \
  -d '{"protocol": "...your custom instructions..."}'

Send an empty string to reset to the default.

Any HTTP client

# Save a thought
curl -X POST http://your-server:4320/api/capture \
 -H "Content-Type: application/json" \
 -H "X-API-Key: your-key" \
 -d '{"content": "STRATA is running on my Pi!", "tags": ["setup"]}'

# Search by meaning
curl -X POST http://your-server:4320/api/search \
 -H "Content-Type: application/json" \
 -H "X-API-Key: your-key" \
 -d '{"query": "server setup", "limit": 5}'

# Health check (no auth needed)
curl http://your-server:4320/health

Configuration

All in config.py. Override with environment variables:

The tools (21 core + extensions)

Memory

File vault

Web dashboard

STRATA includes a full web dashboard at http://your-server:4320/dashboard. No extra setup needed - first visit walks you through account creation.

Account system

• Password-protected - first visit creates your account with a password (PBKDF2-SHA256, 480K iterations)
• 12-word recovery phrase - generated during setup like a Bitcoin wallet. Write it down. It's the only way to reset a forgotten password. Stored as a hash, never in plaintext.
• Device sessions - each browser gets a named session ("my-laptop", "my-phone"). Names must be unique across devices. Sessions last 7-365 days (you pick).
• 10-day rename cooldown - device names can only be changed once every 10 days to prevent abuse
• Settings page - change password (requires current), view connected devices, rename your device

AI clients (Claude Code, Codex, etc.) still use the API key via X-API-Key header. The dashboard auth is a separate system - they don't interfere with each other.

Dashboard features

• Capture thoughts from the browser with tags, people, and type selection
• Semantic search - find by meaning, not keywords
• Tag search - click any tag to filter all thoughts with that tag. Type #tagname in the search bar for the same thing.
• Infinite scroll - loads 30 thoughts at a time, fetches more as you scroll
• Stats cards - total memories, tag count, people mentioned, database size
• Trending tags - rising/declining/new tags with clickable filters
• Device activity - animated bars showing which machines contribute the most
• Hottest memories - most-accessed thoughts ranked by hit count
• Dark theme - warm dark mode, responsive on mobile

Per-agent API keys

In v1, every AI tool shared one STRATA_API_KEY. That worked when "every AI tool" was just you and Claude Code. As soon as you have a Surface laptop, a Helios desktop, a few telegram bots, and a nightly cron job all hitting Strata, you want to know which agent did what — and you want to be able to revoke any one of them without taking the others down.

v2 ships per-agent keys. Open /admin/agents, click "Register New Agent", give it a name, and you get a unique key like agent-G8O1bK2kQiN3F0Haq03e_0kIh5D8YiFo. The agent uses that key in its X-API-Key header — server.py looks it up on every request and checks the granular permission flags.

The dedicated human admin key (STRATA_ADMIN_KEY) is always separate and never appears in the agent table. It's the master override for the operations no agent should be able to do on its own — re-enabling the kill switch, granting admin to other agents, raising the active-agent cap.

Global MCP kill switch

One toggle locks every agent out of MCP, REST, and /api/*. Hit it from /admin/agents (the big shield panel at the top) or via REST:

curl -X PUT http://your-server:4320/admin/api/mcp-toggle \
 -H "X-API-Key: your-agent-or-admin-key" \
 -H "Content-Type: application/json" \
 -d '{"enabled": false}'

The permission model is asymmetric on purpose:

• Disable — any human admin OR any agent with can_write=1 or can_kill=1. This is a safety valve. An agent that detects it's compromised must be able to pull the brake without begging the human for admin rights first.
• Re-enable — ONLY the human admin key. An agent that flipped the switch off cannot undo its own decision. The human walks over and flips it back on.

When the kill switch is off, every /mcp, /sse, and /api/* request returns 503 Service Unavailable. The audit log records who flipped it ([KILL SWITCH] Global MCP access DISABLED by claude-on-surface). The constellation viewer reflects the state in real time — see below.

Constellation viewer

Open http://your-server:4320/constellation and watch your brain think. It's a 3D visualization of every thought in your database, distributed across the surface of a Fibonacci sphere with each cluster snapping to the vertices of a dodecahedron. Behind it sits a Flower of Life canvas — barely visible by default, slider-adjustable. Sacred geometry, all the way down.

When an agent searches or captures, the constellation lights up in that agent's color and beams flow from the agent badge to each matching thought. Per-agent colors are stored in the database (editable from the admin panel) so the viewer always reflects current identity.

When the MCP kill switch flips off, the whole scene desaturates to silver-grey, the auto-rotation slows to ~15%, and a centered "MCP DISCONNECTED" overlay appears with the actor name in their identity color. The visual is impossible to miss across the room.

Use it as a wallpaper: http://your-server:4320/constellation?mode=wallpaper strips the UI and runs the constellation full-screen.

Encryption at rest (optional)

By default Strata stores its SQLite database as a plain file. That's fine for personal installs on a NAS you control, but if your threat model includes "someone walks off with the drive" or "a backup leaks", you want the data encrypted at rest.

sudo ./setup_encryption.sh

The script:

1. Installs sqlcipher and the pysqlcipher3 Python binding
2. Generates a 256-bit AES key, saves it to /etc/strata/db.key (mode 400, root-only)
3. Migrates your existing database in place via sqlcipher_export()
4. Sets STRATA_DB_ENCRYPT=true and STRATA_DB_KEY_FILE=/etc/strata/db.key in the systemd service

After restart, db.py opens the database via pysqlcipher3 instead of sqlite3, and every query runs against AES-encrypted pages. The key never lives in code or environment variables — only in the root-owned file.

If you lose the key, the database is unrecoverable. Back it up somewhere safe.

To run unencrypted (the default), do nothing. The encryption code path is dormant unless STRATA_DB_ENCRYPT=true is set.

File-level access hardening (optional)

Even with the API key system, anyone with SSH access to the host could open strata.db directly with sqlite3 and bypass all your auth, rate limits, and audit trails. setup_secure.sh closes that hole:

sudo ./setup_secure.sh

The script:

1. Creates a dedicated strata system user (no login, no home dir)
2. Sets the data directory ownership to strata:strata mode 700
3. Sets every DB file to mode 600 (owner read/write only)
4. Updates the systemd service to run as the strata user

After restart, the Strata process can read and write the database, but no other user (including nacho or root without explicit elevation) can touch the file directly. All access has to go through the API — which means rate limits, auth checks, and audit logs apply uniformly.

Demo mode

For public demos at conferences, on a tablet at the booth, or on a public-facing URL, you don't want the auth screen to lock visitors out. Set STRATA_DEMO_MODE=true in the server environment and:

• The login screen still renders (visitors see that auth exists)
• Blank passwords are accepted on both /api/auth/setup and /api/auth/login
• The server substitutes a fixed internal placeholder password so the hashing / session / device-name plumbing keeps working

This is for demos only. NEVER set it on a real deployment — it removes the authentication barrier entirely.

STRATA_DEMO_MODE=true python server.py

Running as a service

Create /etc/systemd/system/strata.service:

[Unit]
Description=STRATA Memory Server
After=network.target

[Service]
Type=simple
User=your-user
WorkingDirectory=/path/to/strata
ExecStart=/path/to/strata/venv/bin/python server.py
Environment=STRATA_API_KEY=your-secret-key
Environment=STRATA_ADMIN_KEY=your-admin-key
Environment=STRATA_DATA_DIR=/path/to/your/data
Restart=always
RestartSec=5

[Install]
WantedBy=multi-user.target

sudo systemctl daemon-reload
sudo systemctl enable strata
sudo systemctl start strata

How it's built

AI Clients (Claude Code, Codex, bots)          Humans (browser/tablet)
        |                    |                       |
   MCP (/mcp)          REST (/api/*)          Dashboard (/dashboard)
        |                    |                  Constellation (/constellation)
        |                    |                  Admin (/admin/agents)
        |                    |                       |
        +---- MCPKillSwitchMiddleware (rejects all when off) -----+
        |                    |                       |
        +-------- server.py - rate limiting, sanitization --------+
        |                    |                       |
   Per-agent keys      Per-agent keys        Password + session auth
   (X-API-Key)         (X-API-Key)           (auth.py - PBKDF2, seeds)
   agent_keys.py       agent_keys.py         users + sessions tables
        |                    |                       |
   embedder.py          vault.py            activity_stream (SSE)
   ONNX model         file storage          per-agent broadcasts
   on-demand          by device/month                |
        |                    |                       |
              db.py - SQLite (or SQLCipher) + FTS5 + numpy
              thoughts + attachments + users + sessions + agent_keys

Hardware

Built to run on a Raspberry Pi 4B (4GB). Here's what it actually uses:

Model loads when you need it, unloads after 5 min idle.

Storage

A fresh install needs roughly 1GB of disk space. A 16GB SD card is plenty. The database and file vault grow with usage, so if you plan to attach a lot of files, point the vault at external storage.

Minimum specs: any machine with 2GB RAM, 2GB free disk, and Python 3.10+.

Security

• Per-agent keys - every AI agent gets its own key with granular read / write / delete / admin / kill flags. Revoke or disable any one without taking the others down.
• MCP global kill switch - one toggle locks every agent out. Asymmetric: agents can disable, only humans can re-enable.
• Dashboard auth - PBKDF2-SHA256 with 480K iterations, random 32-byte salt, constant-time comparison
• 12-word seed phrase recovery - hashed and stored permanently, never in plaintext
• Session tokens - 256-bit random, stored in SQLite, auto-expire, per-device
• Audit log - every kill switch flip recorded with the actor's agent name
• Encryption at rest (optional) - SQLCipher AES-256, key in root-only file (setup_encryption.sh)
• File-level hardening (optional) - dedicated strata system user owns the DB at mode 600 (setup_secure.sh)
• Separate admin key for destructive operations (delete/detach)
• Rate limiting - 30 req/min per IP
• Input size limits - 50KB per thought, 1GB per vault file
• Prompt injection defense - content wrapped as data markers for AI clients
• XSS prevention - all user content escaped before rendering
• Atomic file writes - temp file + rename, no partial files on power loss
• Path traversal protection on all vault operations
• No eval/exec anywhere in the codebase
• Zero additional runtime dependencies for the core - auth uses only Python standard library; SQLCipher and setup_*.sh scripts are opt-in

Extensions

STRATA supports an optional extensions.py file that registers additional MCP tools and REST endpoints. This is how you add custom functionality to your deployment without modifying the core server.

If extensions.py is present in the project directory, the server automatically loads it at startup. If it's missing, the server runs perfectly fine with the 16 core tools.

Tools marked (extension) in the table above are available through extensions. They're documented so you know what's possible, but the implementation isn't included in this repo. Create your own extensions.py with a register_extensions() function to add custom tools.

License

PolyForm Noncommercial License 1.0.0. Copyright (c) 2026 A Generation Forwordz Foundation.

STRATA is source-available software. Use it, improve it, share it, learn from it. Just keep it free and give credit. Do not sell it.

For commercial licensing inquiries, contact A Generation Forwordz Foundation.

See LICENSE for details.

Built by Christian Mitchell. If you use this, keep the attribution.