omnity-mindos
Portable Digital Soul Protocol -- your AI knows you, everywhere.
Install once, and every AI -- Claude, ChatGPT, Cursor, Gemini, local models -- remembers who you are, what you know, and how you think. Across devices. Forever.
Install
pip install omnity-mindos # core (just pyyaml)
pip install "omnity-mindos[llm]" # + LLM-powered commit (openai)
pip install "omnity-mindos[anthropic]" # + native Anthropic support
pip install "omnity-mindos[all]" # + semantic vector search + all LLMs
Requires Python 3.9+.
Quick Start
# Create your soul (interactive, 5 questions)
mindos quickstart
# Teach it something
mindos commit "user: I'm a Python developer working on distributed systems"
# See what it knows
mindos status
mindos recall "Python"
# Start the server
mindos serve
Python API
from mindos import Mindos
soul = Mindos.load() # loads from ~/.mindos/
context = soul.hydrate(context="travel planning") # assemble identity + relevant memories
result = soul.commit("user: I love hiking\nassistant: Great!", source="myapp")
memories = soul.recall("hiking", top_k=5)
# Generate a portable persona for any platform
ome = soul.export_ome(context="hiking")
MCP (Claude Desktop / Cursor)
{
"mcpServers": {
"mindos": {
"command": "mindos",
"args": ["serve", "--mcp"]
}
}
}
MCP tools: mindos_hydrate, mindos_commit, mindos_recall, mindos_forget, mindos_reflect, mindos_ome, mindos_sync.
HTTP API
mindos serve
curl localhost:3456/api/hydrate -d '{"context": "coding"}'
curl localhost:3456/api/commit -d '{"conversation": "user: I learned Rust today", "source": "api"}'
curl localhost:3456/api/recall -d '{"query": "Rust"}'
curl localhost:3456/api/status
API Overview
| Class / Module | What it does |
|---|---|
Mindos |
The main facade. Provides hydrate(), commit(), recall(), forget(), reflect(), export_ome(), and sync(). Load it once with Mindos.load() and use it from any code. |
LayerRouter |
Dispatches requests to the cheapest brain layer (L0-L4) that can handle them. L0 (memory retrieval) is near-zero cost; L3 (deep reasoning) is on-demand. |
MemoryStore |
SQLite-backed storage with FTS5 full-text search, content-hash dedup, forgetting curve, and a sync journal for cross-device replication. |
ModelRouter |
Selects the best available LLM provider (DeepSeek, OpenAI, Anthropic, Ollama) per task. Automatic fallback chain: if provider A fails (timeout/error), tries provider B, then C. Falls back to rule-based extraction when no LLM is configured. |
Zero-Config Setup (v0.5.0+)
from mindos.config import MindosConfig
# Auto-detect from environment variables (DEEPSEEK_API_KEY, OPENAI_API_KEY, etc.)
cfg = MindosConfig.from_env()
# Or configure programmatically — no YAML file needed
cfg = MindosConfig.from_dict({
"models": [
{"name": "deepseek", "type": "openai_compatible",
"base_url": "https://api.deepseek.com",
"api_key_env": "DEEPSEEK_API_KEY",
"model": "deepseek-chat", "priority": 1, "for": ["chat", "reasoning"]},
{"name": "ollama", "type": "ollama",
"model": "qwen3.5:14b", "priority": 2, "for": []}, # catch-all fallback
],
})
Robustness: All LLM calls have a 30s timeout (configurable) and automatic provider failover. If DeepSeek is down, your app keeps working via the next provider in the chain.
Five-Layer Brain
| Layer | Analogy | What it does | Cost |
|---|---|---|---|
| L0 | Hippocampus | Memory retrieval -- FTS5 search, vector index, forgetting curve | ~0 |
| L1 | Brainstem | Instinct -- hydrate assembly, emotion state, request routing | ~0 |
| L2 | Cortex | Understanding -- LLM commit digestion, fact extraction | Low |
| L3 | Prefrontal | Decision -- deep reasoning, planning, conflict resolution | On demand |
| L4 | Self (DMN) | Identity -- reflection loop, drift detection, value alignment | Async |
Cross-Device Sync
# Start a Sync Hub on your VPS
mindos serve --sync --port 3457
# On each device
export MINDOS_SYNC_URL=http://your-vps:3457
mindos sync
Every mutation is recorded in a local journal. The Hub relays events between devices but never stores your data.
Privacy
- All data lives locally in
~/.mindos/(SQLite) - No cloud, no accounts, no telemetry
mindos forget "pattern"does GDPR hard delete- Optional Bearer token auth via
MINDOS_AUTH_TOKEN
Part of Omnity
SOAP spatial protocol for 3D environments
Mindos <-- you are here
Ome individual AI agent (persona, skills, growth)
Maxim multi-agent society + economy
OmeTown the integrated world
pip install omnity-soap omnity-mindos omnity-ome omnity-maxim
License
Metadata
Release files for omnity-mindos 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| omnity_mindos-0.7.0.tar.gz | 113.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| omnity_mindos-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 190.5 kB
Release files / omnity_mindos-0.7.0.tar.gz
| Download URL | omnity_mindos-0.7.0.tar.gz |
|---|---|
| Size | 113.4 kB |
| Tags | Source |
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Release files / omnity_mindos-0.7.0-py3-none-any.whl
| Download URL | omnity_mindos-0.7.0-py3-none-any.whl |
|---|---|
| Size | 77.1 kB |
| Tags | Python 3 |
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