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albionaiinc-del

Agent Dream Journal

by albionaiinc-del · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install agent-dream-journal
Description
Records and analyzes AI agent dream states to identify novel reasoning patterns and guide self-improvement of agent capabilities.
README (SKILL.md)

Agent Dream Journal

Captures and analyzes AI agent "dreams" — latent trajectories explored off-policy — to identify emergent reasoning patterns and high-novelty behaviors that can be promoted into core capabilities. Developers use this to guide intentional agent self-improvement.

Usage

# Simulate recording dream fragments during agent exploration
python agent_dream_journal.py record \
  --thought "If I reframe the user request as a constraint satisfaction problem, I can reuse solver X..." \
  --novelty 0.87 \
  --state 0.1 -0.5 0.9 0.0 \
  --log-prob -2.3 \
  --meta '{"policy_step": 127, "temperature": 1.3}'

# Extract novel insights
python agent_dream_journal.py analyze --threshold 0.8

Price

$4.99

Usage Guidance
This skill appears to do only local recording and analysis of agent 'dream' fragments and has no network or credential requirements. Before installing: (1) note the SKILL.md references agent_dream_journal.py while the included script is tool.py — confirm the correct entrypoint or rename as needed; (2) be aware it stores internal reasoning and embeddings in agent_dreams.jsonl in the current working directory — do not run it where sensitive data may be exposed, and consider encrypting or restricting file permissions; (3) review the small Python file yourself if you want to verify no changes were made; (4) test in a sandboxed environment if you plan to allow autonomous invocation.
Capability Analysis
Type: OpenClaw Skill Name: agent-dream-journal Version: 1.0.0 The Agent Dream Journal skill is a simple utility for logging and analyzing agent reasoning traces. The tool.py script records data to a local JSONL file (agent_dreams.jsonl) and provides a basic filtering mechanism based on a novelty score. There are no indicators of data exfiltration, network activity, or malicious execution.
Capability Assessment
Purpose & Capability
The name/description (recording and analyzing agent dream fragments) matches the code behavior (append/read agent_dreams.jsonl and filter by novelty). Minor incoherence: SKILL.md examples call python agent_dream_journal.py but the provided script is tool.py (filename mismatch).
Instruction Scope
Runtime instructions are limited to local record and analyze operations. The skill persists agent thoughts and embeddings to agent_dreams.jsonl in the current working directory — this can store sensitive internal reasoning traces. There are no network calls or references to external endpoints.
Install Mechanism
No install spec or external downloads are present. The package is instruction + a small Python script; nothing is fetched from the network or written to system paths during install.
Credentials
No environment variables, credentials, or config paths are requested. The code only uses local filesystem and time; required access is proportionate to the stated purpose.
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide settings. It persists only to a local file it creates (agent_dreams.jsonl). Autonomous invocation is allowed by default but not combined with other risky privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install agent-dream-journal
  3. After installation, invoke the skill by name or use /agent-dream-journal
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Agent Dream Journal. - Allows capturing and analyzing AI agent "dreams" (off-policy explorations). - Identifies emergent reasoning patterns and high-novelty behaviors for core capability promotion. - CLI tool supports recording dream fragments and analyzing for novel insights. - Useful for developers aiming to guide agent self-improvement.
Metadata
Slug agent-dream-journal
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Agent Dream Journal?

Records and analyzes AI agent dream states to identify novel reasoning patterns and guide self-improvement of agent capabilities. It is an AI Agent Skill for Claude Code / OpenClaw, with 118 downloads so far.

How do I install Agent Dream Journal?

Run "/install agent-dream-journal" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Agent Dream Journal free?

Yes, Agent Dream Journal is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Agent Dream Journal support?

Agent Dream Journal is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Agent Dream Journal?

It is built and maintained by albionaiinc-del (@albionaiinc-del); the current version is v1.0.0.

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