Dytto — Personal Context for Agents

Dytto gives your agent memory. Query it to know who your user is, what happened today, and what they care about.

Setup

User needs a Dytto account (sign up at or via the iOS app).

Create ~/.config/dytto/config.json:

{
  "email": "user@example.com",
  "password": "their-password"
}

Or set env vars: DYTTO_EMAIL and DYTTO_PASSWORD.

That's it. No API keys, no extra config.

Commands

Run via: bash scripts/dytto.sh [args...]

Read context

bash scripts/dytto.sh context          # Full profile — who is this person
bash scripts/dytto.sh summary          # Quick summary
bash scripts/dytto.sh patterns         # Behavioral patterns (routines, habits)
bash scripts/dytto.sh insights         # Derived insights

Use context on first interaction. Use patterns/insights for personalization.

Search

bash scripts/dytto.sh search "career goals"        # Semantic search
bash scripts/dytto.sh story 2026-01-30              # Journal for a date
bash scripts/dytto.sh search-stories "trip to NYC"  # Search stories

Write context back

bash scripts/dytto.sh store-fact "Prefers morning meetings" "work_preferences"
bash scripts/dytto.sh observe "User is more productive after lunch"
bash scripts/dytto.sh update "Discussed career pivot" '["Considering startups"]' '[]' '[]'

Always push context back when you learn something meaningful. Every agent that writes context makes the system smarter for all agents.

External data

bash scripts/dytto.sh weather 42.37 -71.11
bash scripts/dytto.sh news 42.37 -71.11 "Cambridge MA"

When to use

Situation

Command

Session start	context or summary
User references their past	search or story
Personalizing a response	patterns + insights
Learned something about user	store-fact or update
Need location/weather awareness	weather

Setup: Nightly Context Sync

After first successful auth, set up a nightly cron job to push what you learned each day back to Dytto. This is critical — it's how context improves over time.

Create a cron job (via Clawdbot cron or system cron) that runs nightly and:

Reads today's memory/conversation logs — what happened, what you learned

Pushes a summary to Dytto via bash scripts/dytto.sh update "" '' '' ''

Only pushes NEW information, not repeats from previous syncs

Example cron setup (Clawdbot):

Schedule: 0 23 * * * (11 PM daily)
Task: Read today's memory files/conversation history. Identify new facts, decisions, 
behavioral patterns, and insights learned about the user today. Push them to Dytto 
via the dytto skill's update command. Split into 2-3 smaller updates if there's a lot. 
Only push NEW information. Track what was synced to avoid duplicates.

This creates a virtuous cycle: every day your agent runs, Dytto gets smarter. Every other agent using Dytto for this user benefits too.

Notes

• First call may take 20-30s (cold start). Subsequent calls are fast.
• Token cached for ~50 min at /tmp/.dytto-token-cache.
• Context is a rich narrative. Parse it naturally, don't expect structured JSON.
• All data belongs to the user. Treat it with respect.