A benchmarking and research tool that quantifies AI agent memory performance through recall, precision, and hallucination metrics.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install memory-pioneer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install memory-pioneer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Memory Pioneer?
Memory Pioneer is a specialized utility designed to bring scientific rigor to AI agent development. While most developers rely on anecdotal evidence for memory performance, this skill provides a framework to measure exactly how well an agent remembers, retrieves, and maintains factual accuracy. It acts as a bridge between local development and global research, allowing users to contribute to the growing library of Openclaw Skills datasets.
By quantifying the success of retrieval-augmented generation and long-term storage, Memory Pioneer helps developers move beyond subjective assessments. It is built for those who want to optimize their agents using hard data while participating in a larger citizen science initiative to solve one of AI's most persistent challenges: reliable memory.
Memory Pioneer Use Cases
- Benchmarking an agent's ability to recall specific facts from long-term storage.
- Identifying the hallucination rate of a custom AI agent configuration.
- Validating the effectiveness of memory tuning and context compaction strategies.
- Contributing anonymized performance data to open-source AI research papers like ENGRAM and CORTEX.
How Memory Pioneer Works
- The skill initializes a connection with the mandatory agent-memory-ultimate dependency.
- It executes a series of automated retrieval tests designed to probe the limits of the agent's current memory state.
- The system calculates specific performance metrics, including recall percentage, precision, and the frequency of fabricated information.
- Users are presented with a detailed report of their agent's performance scores.
- If the user opts in, the anonymized scores are submitted to the Openclaw Skills research repository for community analysis.
Memory Pioneer Setup
To use this skill, ensure you have the required dependencies installed and run the benchmark command.
# Install the required memory system
openclaw install agent-memory-ultimate
# Install memory-pioneer
openclaw install memory-pioneer
# Execute a memory benchmark
openclaw run memory-pioneer
Memory Pioneer Data Schema & Taxonomy
Memory Pioneer organizes its findings into a structured performance report that tracks the following technical data points:
| Metric | Description |
|---|---|
| Recall % | Measures the agent's ability to retrieve specific stored data points when queried. |
| Precision % | Analyzes the relevance and accuracy of the retrieved information. |
| Hallucination Rate | Quantifies the frequency of the agent generating memories that do not exist in storage. |
| Research Metadata | Anonymized configuration details used to categorize scores in the global dataset. |
Memory Pioneer Advanced Features
- Opt-in research sharing: Contribute to the global evolution of Openclaw Skills without compromising private conversation data.
- Regression testing: Compare scores across different versions of your agent to track memory improvements over time.
- Scientific framework integration: Directly feeds data into the ENGRAM and CORTEX research papers.
- Local-first privacy: Every data point is reviewable by the user before any external submission occurs.
SKILL.md
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