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Configuration
The agent manifest file declares identity and connections. Created by npx fozikio init:
agent:
name: my-agent
version: "1.0"
identity:
profile: mind/profile.md
session_state: state/session-state.md
agents: {}
cortex:
default:
store: sqlite # sqlite (default) or firestore
embed: built-in # built-in, ollama, vertex, or openai
primary: true
credentials:
dir: credentials/
encryption: none| Backend | Config | When to use |
|---|---|---|
sqlite |
Default, zero config | Local development, single-agent |
firestore |
Needs GCP project | Cloud deployments, multi-agent, shared memory |
| Provider | Config | Speed | Requirements |
|---|---|---|---|
built-in |
Default | ~200ms/embed | None (downloads model on first use) |
ollama |
Local server | ~50ms/embed | Ollama + nomic-embed-text
|
vertex |
Google Cloud | ~100ms/embed | GCP project, credentials |
openai |
OpenAI API | ~100ms/embed | API key |
| Variable | Required | Default | Description |
|---|---|---|---|
GCP_PROJECT_ID |
If firestore | — | Google Cloud project ID |
GOOGLE_APPLICATION_CREDENTIALS |
If firestore/vertex | — | Path to service account JSON |
CORTEX_API_TOKEN |
If hosted | — | Auth token for HTTP API |
OLLAMA_URL |
If ollama | http://localhost:11434 |
Ollama server URL |
Register agents with isolated namespaces:
npx fozikio agent add researcher --description "Research agent"
npx fozikio agent add trader --description "Trading signals"
npx fozikio agent generate-mcp # writes .mcp.json with scoped serversOr configure manually in agent.yaml:
agents:
researcher:
description: "Research agent"
namespace: researcher
trader:
description: "Trading signals"
namespace: tradercortex-engine auto-creates collections on first use. No manual setup needed.
For optimal query performance with Firestore, create these composite indexes:
Collection: memories
Fields: tags (Array) ASC, created_at DESC
Collection: memories
Fields: type ASC, strength DESC
Collection: threads_v2
Fields: status ASC, updated_at DESC
For production, lock down Firestore to service account access only:
rules_version = '2';
service cloud.firestore {
match /databases/{database}/documents {
match /{document=**} {
allow read, write: if false; // Service account bypasses rules
}
}
}cortex-engine ships with @fozikio/reflex for safety guardrails. Rules are installed to reflex-rules/ during init.
Validate rules:
npx reflex validate reflex-rulesTest rules:
npx reflex test reflex-rules --event bash_command --command "rm -rf /"Add custom rules by creating YAML files in reflex-rules/. See the reflex README for the rule format.
cortex-engine needs an LLM for cognitive operations (dream, reflection, agent tasks). Configure in fozikio.json:
| Provider | Config | Requirements |
|---|---|---|
ollama |
Default, local | Ollama + model installed |
gemini |
Google Cloud | GCP project, Vertex AI |
openai |
Universal adapter | Any OpenAI-compatible API key |
The openai provider auto-detects your API key and configures the correct base URL for OpenAI, DeepSeek, Hugging Face, OpenRouter, Together AI, Fireworks, and local servers.
See the LLM Providers page for full configuration details.