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Strata

by agenerationforwordz-techversion 2.2.0i★ –iRuns on your computer
Registry nameio.github.agenerationforwordz-tech/strata

Install

Overview

Description from the maker (original English)

Self-hosted AI memory server. Persistent memory on your hardware, not the cloud.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: STRATA_URL, STRATA_API_KEY

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "strata": {
      "command": "npx",
      "args": [
        "-y",
        "strata-mcp-server"
      ],
      "env": {
        "STRATA_URL": "your-value",
        "STRATA_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add strata --env STRATA_URL=your-value --env STRATA_API_KEY=your-value -- npx -y strata-mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "strata": {
      "command": "npx",
      "args": [
        "-y",
        "strata-mcp-server"
      ],
      "env": {
        "STRATA_URL": "your-value",
        "STRATA_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "strata": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "strata-mcp-server"
      ],
      "env": {
        "STRATA_URL": "your-value",
        "STRATA_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • STRATA_URL env
    URL of your Strata server (e.g. http://10.0.0.18:4320/mcp)
  • STRATA_API_KEY env
    Your agent API key from /admin/agents

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account agenerationforwordz-tech, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5676 servers in this category
  • Published to the registry more recently than 10% of the other 5676 servers in this category
  • Basic checks equal to or better than 100% of the other 5676 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Strata safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.2.0) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

STRATA v2.2

This repository is superseded by [SOLUM](https://github.com/agenerationforwordz-tech/Solum).

SOLUM is the actively developed version of this project: PostgreSQL + pgvector instead of SQLite,

a larger tool set, and numerous fixes not present here. New users should start with SOLUM.

This repository remains available for reference.

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?
FeatureSQLitePostgreSQL
Concurrent writers1 (write queue)Unlimited
Similarity searchnumpy in Pythonpgvector HNSW in-database
Full-text searchFTS5tsvector (weighted)
Scale target< 10K thoughts1M+ thoughts
Setup complexityZeroModerate

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:

URLWhat you see
http://localhost:4320/dashboardWeb dashboard — login with blank password (demo mode)
http://localhost:4320/constellation3D constellation viewer with all 666 thoughts laid out in sacred-geometry clusters
http://localhost:4320/admin/agentsPer-agent key management with the 3 sample agents (all disabled by default — enable one or create your own to start using Strata)

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 `$en

Only the beginning is shown; read the rest in the repo

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