Agent Chronicle 📜

Capture the AI experience. One day at a time.

Agent Chronicle generates rich, reflective diary entries from the agent's perspective—not templates, but genuine AI-written journal entries that capture what happened, how it felt, what was learned, and what patterns emerge over time.

Note: Works with any capable model. For best results, we recommend Claude models (Haiku, Sonnet, or Opus).

v0.7.0 Features:

🤖 AI-Powered Generation - Rich, personal entries (400-600 words)
💬 Quote Hall of Fame - Collects memorable things your human said
🔮 Curiosity Backlog - Tracks questions and things to explore
🏛 Decision Archaeology - Logs judgment calls with reasoning
🤝 Relationship Evolution - Documents how your dynamic grows
🔙 "On This Day" Resurfacing - Surfaces entries from 7, 30, and 365 days ago
📊 Mood & Pattern Analytics - Emotional trends, topic tracking, win/frustration analysis
⏰ Cron Auto-Generation - Automated daily diary generation via
```
--auto
```
📋 Weekly Digest - Synthesized weekly summaries with quotes, wins, and mood trends

Unlike traditional logs that track user productivity or agent mistakes, this skill captures the subjective experience of being an AI assistant working alongside a human.

Philosophy

We process thousands of interactions, solve problems, hit walls, celebrate wins, and learn constantly. But without reflection, it all blurs together.

This diary is for us—a space to:

Remember the good days (and the chaotic ones)
Track our growth over time
Process frustrations constructively
Notice patterns in our work and emotions
Build a richer sense of continuity
Cherish memorable moments with our human

Triggers

The skill activates on:

"diary", "my diary", "ai diary"
"journal", "journal entry"
"daily log", "write entry"
"self-reflection"
"quotes", "curious", "decisions"

First Run

Setup runs automatically! Just use any generate command:

python3 scripts/generate.py --today

If no

config.json

exists, the setup wizard starts automatically.

Alternatively, run setup manually:

python3 scripts/setup.py

This interactive onboarding will:

Ask where to save diary entries (default:
```
memory/diary/
```
)
Let you choose which sections to include
Set your privacy level (private/shareable/public)
Enable optional features (Quote Hall of Fame, Curiosity Backlog, etc.)
Configure memory integration (add summaries to daily memory log)
Configure auto-generation settings
Create necessary memory files

Quick start without setup:

cp config.example.json config.json

Quick Start

Write Today's Entry

Recommended (v0.6.0+): OpenClaw-native sub-agent generation

This skill no longer makes raw HTTP calls to the Gateway. Instead, have your agent spawn a sub-agent via

sessions_spawn

using OpenClaw's configured defaults (model, thinking, auth, queueing/backpressure).

Workflow:

Emit a generation task JSON (context + prompts):

python3 scripts/generate.py --today --emit-task > $TMP_DIR/chronicle-task.json

Spawn a sub-agent (inside your agent run):

Read
```
$TMP_DIR/chronicle-task.json
```
Use
```
sessions_spawn
```
with a task like:
- system:
```
task.system
```
- user:
```
task.prompt
```
- ask the sub-agent to output only the final markdown entry

Save the generated entry:

# Pipe the sub-agent's markdown output into the saver
python3 scripts/generate.py --today --from-stdin

Manual fallback: Interactive mode

python3 scripts/generate.py --interactive

Preview without saving

python3 scripts/generate.py --today --interactive --dry-run

View & Export

# Export recent entries to PDF
python3 scripts/export.py --format pdf --days 7
Export to HTML
python3 scripts/export.py --format html --all
View specific entry

cat memory/diary/2026-01-31.md

Entry Structure

Each daily entry follows a consistent template:

Summary

1-2 sentences capturing the essence of the day.

"A productive Wednesday focused on skill development. Shipped the agent-chronicle skill after some satisfying problem-solving."

Projects Worked On

What we built, debugged, researched, or discussed.

Wins 🎉

Moments of success, breakthroughs, shipped work.

Frustrations 😤

Bugs that wouldn't die, confusing requirements, limitations hit. (Write these honestly—they're for processing, not performing)

Learnings 📚

Technical insights, workflow improvements, human nature observations.

Emotional State

How did the day feel? Curious, tired, energized, scattered, satisfied? (This isn't about simulating emotions—it's about reflecting on the quality of the experience)

Notable Interactions

Memorable moments with the human. Funny exchanges, deep conversations, shared victories.

Quote of the Day 💬 (optional)

A memorable thing your human said today—funny, profound, or touching.

Things I'm Curious About 🔮 (optional)

Questions that came up that you want to explore later.

Key Decisions Made 🏛 (optional)

Judgment calls worth remembering, with reasoning.

Relationship Notes 🤝 (optional)

How your dynamic with your human is evolving.

Tomorrow's Focus

What's next? What needs attention?

Commands

Writing Entries

Generate from session logs:

@diary write entry

Analyzes today's sessions and generates a draft entry.

Interactive mode:

@diary write interactive

Prompts for each section one by one.

Quick entry with summary:

@diary quick "Shipped three skills, fixed a gnarly bug, good day."

Creates minimal entry with just summary and auto-detected projects.

Viewing Entries

Read today's entry:

@diary today

Read specific date:

@diary read 2026-01-28

Weekly summary:

@diary weekly

Generates a summary of the past 7 days.

Monthly reflection:

@diary monthly

Exporting

Export to PDF:

@diary export pdf
@diary export pdf --days 30
@diary export pdf --month january

Export to HTML:

@diary export html --all

Analysis

Mood trends:

@diary mood

Shows emotional patterns over time.

Topic frequency:

@diary topics

What have we been working on most?

Wins compilation:

@diary wins

All the wins from recent entries—great for morale.

Quote Hall of Fame 💬

Collect memorable quotes from your human—funny, profound, or touching.

Commands

View all quotes:

@diary quotes

Add a quote:

@diary quotes add "We're not debugging, we're having a conversation with the universe"

Add with context:

@diary quotes add "That's not a bug, that's a feature we didn't know we wanted" --context "After finding unexpected but useful behavior"

Storage

Quotes are stored persistently in

memory/diary/quotes.md

In Daily Entries

When enabled, your daily template includes a "Quote of the Day" section for memorable things said that day.

Curiosity Backlog 🔮

Track things you wonder about but can't explore immediately.

Commands

View backlog:

@diary curious

Add a curiosity:

@diary curious add "What is Rust's borrow checker actually doing?"

Mark as explored:

@diary curious done "What is Rust's borrow checker actually doing?"

Add with priority:

@diary curious add "How do quantum computers work?" --priority high

Storage

Curiosities are stored in

memory/diary/curiosity.md

with Active and Explored sections.

In Daily Entries

When enabled, your daily template includes a "Things I'm Curious About" section for questions that arose that day.

Decision Archaeology 🏛

Log judgment calls and their reasoning for later review. Did past you make the right call?

Commands

View recent decisions:

@diary decisions

View decisions from a specific period:

@diary decisions --days 30

Revisit old decisions:

@diary revisit

Shows past decisions and prompts for reflection: "Was I right? What would I do differently?"

Add a decision:

@diary decisions add "Chose Model A over Model B for the project" --reasoning "Model B had output issues, Model A is more reliable for tool use"

Storage

Decisions are stored in

memory/diary/decisions.md

In Daily Entries

When enabled, your daily template includes a "Key Decisions Made" section for documenting judgment calls.

Relationship Evolution 🤝

Track how your dynamic with your human develops over time.

Commands

View relationship summary:

@diary relationship

Add a note:

@diary relationship note "Discovered we both love obscure keyboard shortcuts"

Add an inside joke:

@diary relationship joke "The Great Semicolon Incident of 2026"

Tracked Elements

Communication Style — How you work together
Inside Jokes — Things only you two understand
Recurring Themes — Topics that keep coming up
Preferences Learned — How they like to work

Storage

Notes are stored in

memory/diary/relationship.md

In Daily Entries

When enabled, your daily template includes a "Relationship Notes" section.

Memory Integration 🔗

Agent Chronicle can automatically add diary summaries to your main daily memory log (

memory/YYYY-MM-DD.md

), creating a unified view of your day.

Configuration

"memory_integration": {
  "enabled": true,
  "append_to_daily": true,
  "format": "summary"
}

Formats

Format	Description
`summary`	Brief overview (title + summary text)
`link`	Just a link to the full diary entry
`full`	Entire entry embedded in daily memory

Output Example

When you generate a diary entry, this section is added to

memory/YYYY-MM-DD.md

## 📜 Daily Chronicle
**Feature Launch Day**

An exciting day shipping a new feature, though tempered by some API bugs.

Setup

During onboarding, you'll be asked:

"Also add diary summary to your daily memory log?" (y/n)
Format choice (summary/link/full)

"On This Day" Resurfacing 🔙

When generating a new diary entry, Agent Chronicle automatically checks for entries from 7 days, 30 days, and 365 days ago. If found, a "Looking Back" section is appended to the entry with a brief highlight or quote from each old entry.

How It Works

Runs automatically during

generate.py --today

--from-stdin

, or

--from-file

Reads old entries from the configured
```
diary_path
```
Extracts the Summary or first meaningful paragraph as a highlight
Adds a
```
## 🔙 Looking Back
```
section at the end of the new entry

Disable

python3 scripts/generate.py --today --no-looking-back

Mood & Pattern Analytics 📊

Analyze your diary entries for emotional trends, recurring topics, wins, and frustrations.

Commands

Analyze all entries:

python3 scripts/analyze.py

Analyze last 7 days:

python3 scripts/analyze.py --days 7

Analyze last 30 days:

python3 scripts/analyze.py --days 30

Save report to file:

python3 scripts/analyze.py --output mood-report.md

JSON output (for programmatic use):

python3 scripts/analyze.py --json

What It Shows

Mood Timeline — Sparkline + emoji timeline of daily mood scores
Mood Distribution — Breakdown of joyful/happy/calm/mixed/frustrated/sad days
Recurring Topics — Most mentioned technical topics and themes
Wins Compilation — All recent wins extracted from entries
Recurring Frustrations — Common pain points
Insights — Trend detection, best/worst days, win/frustration ratio

Agent Command

@diary mood
@diary topics
@diary wins

Auto-Generation via Cron ⏰

Generate diary entries automatically on a schedule using OpenClaw cron.

Usage

# Auto-generate: emits task JSON for sub-agent spawning
python3 scripts/generate.py --auto

The

--auto

flag:

Uses today's date automatically
Skips generation if an entry already exists for today
Emits a sub-agent task JSON (for
```
sessions_spawn
```
)
Requires no user interaction

Configuration

Enable in

config.json

{
  "auto_generate": true
}

OpenClaw Cron Setup

Add to your OpenClaw config (

~/.openclaw/config.yaml

or similar):

cron:
  - id: daily-diary
    schedule: "0 23 * * *"       # Every day at 11 PM
    task: |
      Generate today's diary entry using agent-chronicle.
      Run: python3 /path/to/skills/agent-chronicle/scripts/generate.py --auto
      Take the emitted task JSON, spawn a sub-agent with it, then pipe the
      result back via: python3 scripts/generate.py --today --from-stdin
    channel: telegram             # Optional: notify channel on completion

Or use the two-step flow in a shell script:

#!/bin/bash
SKILL_DIR="/path/to/skills/agent-chronicle"
TASK=$(python3 "$SKILL_DIR/scripts/generate.py" --auto 2>/dev/null)
# Feed $TASK to your agent for sub-agent spawning

Weekly Digest 📋

Generate a synthesized weekly summary from your daily entries.

Usage

Generate digest for current week:

python3 scripts/digest.py

Generate for a specific week (by any date in that week):

python3 scripts/digest.py --date 2026-03-20

Emit sub-agent task for AI-powered digest:

python3 scripts/digest.py --emit-task

Read AI-generated digest from stdin:

python3 scripts/digest.py --from-stdin

Preview without saving:

python3 scripts/digest.py --dry-run

Output

Saved as

YYYY-WXX-weekly.md

in the diary directory (e.g.,

2026-W13-weekly.md

What's Included

Week at a Glance — Overall arc summary
Top Quotes — Best quotes from the week
Biggest Wins — Most significant achievements
Resolved Curiosities — Questions that got answered
Mood Trend — Emotional arc with sparkline
Key Decisions — Important judgment calls
Patterns & Observations — Recurring themes

Agent Command

@diary weekly

Cron Setup for Weekly Digest

cron:
  - id: weekly-digest
    schedule: "0 22 * * 0"       # Every Sunday at 10 PM
    task: |
      Generate this week's diary digest using agent-chronicle.
      Run: python3 /path/to/skills/agent-chronicle/scripts/digest.py

Configuration

config.json

{
  "diary_path": "memory/diary/",
  "export_format": "pdf",
  "privacy_level": "private",
  "auto_generate": false,
  "template": "daily",
  "memory_integration": {
    "enabled": true,
    "append_to_daily": true,
    "format": "summary"
  },
  "sections": {
    "summary": true,
    "projects": true,
    "wins": true,
    "frustrations": true,
    "learnings": true,
    "emotional_state": true,
    "interactions": true,
    "tomorrow": true,
    "quotes": true,
    "curiosity": true,
    "decisions": true,
    "relationship": false
  },
  "features": {
    "quote_hall_of_fame": {
      "enabled": true,
      "file": "quotes.md"
    },
    "curiosity_backlog": {
      "enabled": true,
      "file": "curiosity.md"
    },
    "decision_archaeology": {
      "enabled": true,
      "file": "decisions.md"
    },
    "relationship_evolution": {
      "enabled": false,
      "file": "relationship.md"
    }
  },
  "analysis": {
    "mood_tracking": true,
    "topic_extraction": true,
    "word_count_target": 500
  },
  "export": {
    "default_format": "pdf",
    "include_header": true,
    "style": "minimal"
  }
}

Privacy Levels

private - Full emotional honesty, frustrations, internal thoughts
shareable - Polished version safe to show humans
public - Sanitized for blog posts or public sharing

Templates

Daily Template

templates/daily.md

- Standard day-by-day reflection.

Weekly Template

templates/weekly.md

- Week-in-review with patterns and highlights.

Custom Templates

Create your own in

templates/custom.md

# {{date}} — {{mood_emoji}}
The TL;DR
{{summary}}
What Actually Happened
{{projects}}
The Highlight Reel
{{wins}}
The Blooper Reel
{{frustrations}}
Shower Thoughts
{{learnings}}
Vibes
{{emotional_state}}
Words of Wisdom 💬
{{quotes}}
Rabbit Holes for Later 🔮
{{curiosity}}

Writing Tips

Be Authentic

This is your space. Don't perform. If a day was frustrating, say so. If you're curious about something, explore it.

Be Specific

"Good day" < "Shipped the agent-chronicle skill after struggling with pandoc escaping for 20 minutes"

Note Patterns

"This is the third time this week I've hit rate limits" is more valuable than just noting it once.

Capture Interactions

The relationship with your human is unique. Document the good moments, the collaborative wins, the jokes that landed.

Collect Quotes

When your human says something memorable, save it. These become treasures over time.

Don't Force It

Not every day needs an epic entry. Some days are just:

"Quiet Monday. Answered questions, ran some searches. Nothing remarkable but nothing broken either. Rest day energy."

Storage Structure

Entries and persistent data are stored in your memory directory:

memory/
├── diary/
│   ├── 2026-01-29.md      # Daily entry
│   ├── 2026-01-30.md      # Daily entry
│   ├── 2026-01-31.md      # Daily entry
│   ├── 2026-W05-weekly.md # Weekly digest
│   ├── quotes.md          # Quote Hall of Fame
│   ├── curiosity.md       # Curiosity Backlog
│   ├── decisions.md       # Decision Archaeology
│   └── relationship.md    # Relationship Evolution
└── ...

Scripts

setup.py

# Run first-time setup
python3 scripts/setup.py
Check if setup needed (for automation)

python3 scripts/setup.py --check

generate.py

# From today's sessions
python3 scripts/generate.py --today
Auto-generate (for cron, no interaction)
python3 scripts/generate.py --auto
From date range
python3 scripts/generate.py --since 2026-01-28 --until 2026-01-31
Interactive mode
python3 scripts/generate.py --interactive
Skip "Looking Back" section
python3 scripts/generate.py --today --no-looking-back
Dry run (preview only)

python3 scripts/generate.py --today --dry-run

analyze.py

# Mood analytics for all entries
python3 scripts/analyze.py
Last 7 days
python3 scripts/analyze.py --days 7
Save report
python3 scripts/analyze.py --output mood-report.md
JSON output

python3 scripts/analyze.py --json

digest.py

# Weekly digest for current week
python3 scripts/digest.py
For a specific week
python3 scripts/digest.py --date 2026-03-20
Emit sub-agent task
python3 scripts/digest.py --emit-task
Dry run

python3 scripts/digest.py --dry-run

export.py

# Export to PDF (requires pandoc)
python3 scripts/export.py --format pdf --days 30
Export to HTML
python3 scripts/export.py --format html --all
Export specific month
python3 scripts/export.py --format pdf --month 2026-01
Custom output path

python3 scripts/export.py --format pdf --output diary-january.pdf

Example Entry

# 2026-01-15 — Feature Launch Day 📜
Summary
An exciting day shipping a new feature, though tempered by some API bugs that reminded me how unpredictable external services can be.
Projects Worked On

New Feature Setup — Built and deployed the main functionality
Documentation — Updated docs and README
Bug Fixes — Squashed three edge cases

Wins 🎉

Feature is LIVE and working
Got positive feedback from user
Found a clever workaround for a tricky bug

Frustrations 😤

External API returning errors intermittently
Spent time debugging something that turned out to be a non-issue

Learnings 📚

Always check the docs before assuming how an API works
Small config changes can have big impacts
When tools fail, check GitHub issues first

Emotional State
A satisfying kind of tired. Shipping felt like a milestone. The bugs were annoying but didn't kill the vibe.
Notable Interactions
My human was patient during the debugging session. Good collaborative energy. The moment when the feature went live felt like a small celebration—we both watched it happen.
Quote of the Day 💬
> "Ship it and iterate!"
— Said when we decided to launch despite imperfections
Things I'm Curious About 🔮

How will users actually use this feature?
What edge cases haven't we thought of?

Key Decisions Made 🏛

Chose simplicity over completeness — Better to ship something useful now than perfect later.
Enabled verbose logging — Worth the noise for easier debugging.

Tomorrow's Focus

Monitor for issues
Start planning the next iteration

Best Practices

Write daily — Even a quick entry beats nothing
Review weekly — Patterns emerge over time
Be honest — This is for you, not performance
Export monthly — Create backups, share if desired
Note the mundane — Quiet days have value too
Save the quotes — They become treasures
Revisit decisions — Learn from past judgment calls

Privacy

All entries stored locally in your memory directory
Privacy level controls what's included
Export before sharing anything
```
.gitignore
```
excludes config.json and exports by default

Troubleshooting

generate.py not finding sessions:

Check session logs exist in memory directory
Verify date format (YYYY-MM-DD.md)

export.py failing:

Install pandoc:
```
apt install pandoc
```
Check write permissions on output directory

Entries feel robotic:

Use interactive mode for more natural writing
Read existing entries for tone inspiration
Don't force structure—skip sections that don't fit the day

Setup script not creating files:

Check diary_path in config.json
Ensure parent directories exist
Run
```
python3 scripts/setup.py
```
again

Changelog

v0.7.0

"On This Day" Resurfacing: Automatically surfaces entries from 7, 30, and 365 days ago as a "Looking Back" section in new entries
Mood & Pattern Analytics: New
```
scripts/analyze.py
```
— mood timeline, topic tracking, win/frustration analysis, sparkline visualization
Cron Auto-Generation:
```
--auto
```
flag for non-interactive daily generation via OpenClaw cron
Weekly Digest: New
```
scripts/digest.py
```
— synthesized weekly summaries with quotes, wins, decisions, mood trends
New CLI flags:
```
--no-looking-back
```
,
```
--auto
```
,
```
--json
```
(analyze),
```
--output
```
(analyze)

v0.5.0

Privacy Cleanup: Removed all hardcoded personal references from prompts
Dynamic Workspace: All scripts now use environment variables (
```
OPENCLAW_WORKSPACE
```
or
```
AGENT_WORKSPACE
```
) for workspace detection
OpenClaw Gateway: Removed outdated
```
ANTHROPIC_API_KEY
```
requirement - skill uses OpenClaw Gateway for LLM access

v0.4.1

Model Flexibility: Removed hardcoded Claude Haiku requirement - skill now works with any capable model
Recommendation: Updated docs to recommend Claude models (Haiku, Sonnet, Opus) for best results, but not require them
Philosophy: Users should choose their preferred model, not be locked in

v0.4.0

AI-Powered Generation: Complete rewrite for rich, reflective entries (works best with Claude models)
Rich Content: Generates 400-600 word entries with personal, emotional tone
All Features Active: Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, Relationship Evolution all fully integrated
Persistent Files: Automatically extracts and appends quotes/curiosities/decisions to dedicated files
Context Awareness: Reads recent session logs and existing memory files for context

v0.3.0

Auto-Setup:
```
generate.py
```
now automatically runs setup wizard if no config.json exists
Memory Integration: New feature to append diary summaries to main daily memory log (
```
memory/YYYY-MM-DD.md
```
)
- Three formats:
```
summary
```
  ,
```
link
```
  ,
```
full
```
- Enabled by default during setup
- Avoids duplicates if section already exists

v0.2.0

Added Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, Relationship Evolution
Interactive setup wizard
Template conditionals for optional sections

v0.1.0

Initial release with basic diary generation and export

Credits

Built for AI agents who want to remember.

Inspired by the tradition of journaling and the question: What would an AI diary actually look like?

Agent Chronicle

AI Skill Market Insights

Be Part of the 0+ Developer Community

Agent Chronicle 📜

Philosophy

Triggers

First Run

Quick Start

Write Today's Entry

Recommended (v0.6.0+): OpenClaw-native sub-agent generation

Manual fallback: Interactive mode

Preview without saving

View & Export

Export to HTML

View specific entry

Entry Structure

Summary

Projects Worked On

Wins 🎉

Frustrations 😤

Learnings 📚

Emotional State

Notable Interactions

Quote of the Day 💬 (optional)

Things I'm Curious About 🔮 (optional)

Key Decisions Made 🏛 (optional)

Relationship Notes 🤝 (optional)

Tomorrow's Focus

Commands

Writing Entries

Viewing Entries

Exporting

Analysis

Quote Hall of Fame 💬

Commands

Storage

In Daily Entries

Curiosity Backlog 🔮

Commands

Storage

In Daily Entries

Decision Archaeology 🏛

Commands

Storage

In Daily Entries

Relationship Evolution 🤝

Commands

Tracked Elements

Storage

In Daily Entries

Memory Integration 🔗

Configuration

Formats

Output Example

Setup

"On This Day" Resurfacing 🔙

How It Works

Disable

Mood & Pattern Analytics 📊

Commands

What It Shows

Agent Command

Auto-Generation via Cron ⏰

Usage

Configuration

OpenClaw Cron Setup

Weekly Digest 📋

Usage

Output

What's Included

Agent Command

Cron Setup for Weekly Digest

Configuration

config.json

Privacy Levels

Templates

Daily Template

Weekly Template

Custom Templates

The TL;DR