Claude Skill
gavdalf/total-recall
Total Recall is an autonomous agent memory system with five-layer observational memory for OpenClaw agents. Self-monitoring, low cost at ~$0.10/month.
Overview
Repository
Install this Skill
git clone https://github.com/gavdalf/total-recall.gitRegistry
Summary
Total Recall is an autonomous agent memory system designed for OpenClaw agents, featuring a five-layer observational memory architecture. It is the only memory system that watches on its own, with a low cost of approximately $0.10 per month.
全息记忆——自主智能体记忆系统。唯一具备自我监控能力的记忆系统。专为OpenClaw智能体打造的五层观测记忆架构。月费约0.10美元。
Key features
- Five-layer observational memory architecture
- Autonomous self-monitoring capability
- Designed specifically for OpenClaw agents
- Low cost at ~$0.10 per month
Use cases
- Enhancing agent memory persistence
- Autonomous task tracking and recall
- Long-running agent workflows
- Memory-efficient AI agent operations
README excerpt
# Total Recall > **Note (April 2026):** This project is currently on hold. I'm focusing on other work for the foreseeable future. The code works, the docs are accurate, and issues/PRs are welcome, but response times will be slower than usual. See [#22](https://github.com/gavdalf/total-recall/issues/22) for details. Autonomous memory for OpenClaw-style agents. Total Recall v2.0 keeps the existing v1.x stack intact: - Observer - Reflector - Session Recovery - Reactive Watcher - Dream Cycle It also adds the Ambient Intelligence Engine (AIE): a configurable sensor and rumination pipeline that can watch external systems, think about what changed, maintain a preconscious buffer, and surface urgent items. Prerequisites: `python3`, `jq`, `curl`, and `PyYAML`. Install PyYAML with: ```bash python3 -m pip install PyYAML # or on Debian/Ubuntu: sudo apt install python3-yaml ``` `setup.sh` will verify all dependencies are present before continuing. ## Architecture ### v1.x memory loop ```text Observer -> observations.md -> Reflector -> Dream Cycle -> session recovery / watcher ``` ### v2.0 Ambient Intelligence Engine ```text sensor-sweep -> enabled connectors emit events to memory/events/bus.jsonl -> rumination-engine reads new events and writes structured insights -> preconscious-select scores recent insights into memory/preconscious-buffer.md -> ambient-actions optionally enriches insights with read-only lookups -> emergency-surface pushes urgent alerts through configured channels -> buffer-inject sends the latest buffer back into the live session ``` The AIE flow is additive. None of the v1.x scripts are removed or replaced. ## Quick Start ### v1.x setup ```bash git clone https://github.com/gavdalf/total-recall.git cd total-recall bash scripts/setup.s
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