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d-o-hub

episodic-memory-testing

by d-o-hub

A modular Rust-based self-learning episodic memory system for AI agents, featuring hybrid storage with Turso (SQL) and redb (KV), async execution tracking, reward scoring, reflection, and pattern-based skill evolution. Designed for real-world applicability, maintainability, and scalable agent workflows.

3🍴 0📅 Jan 23, 2026

SKILL.md


name: episodic-memory-testing description: Domain-specific testing patterns for episodic memory operations. Use when testing episode lifecycle, pattern extraction, reward scoring, or memory retrieval.

Episodic Memory Testing Patterns

Specialized testing patterns for the episodic memory system.

Episode Lifecycle Testing

Complete Flow

#[tokio::test]
async fn test_complete_episode_lifecycle() {
    let memory = setup_memory().await;

    // 1. Start episode
    let id = memory.start_episode("Test task", ctx, TaskType::CodeGen).await;
    assert!(!id.is_empty());

    // 2. Log steps
    memory.log_execution_step(id.clone(), step1).await;
    memory.log_execution_step(id.clone(), step2).await;

    // 3. Complete episode
    memory.complete_episode(id.clone(), TaskOutcome::Success, None).await?;

    // 4. Verify
    let episode = memory.get_episode(&id).await?;
    assert_eq!(episode.outcome, TaskOutcome::Success);
    assert_eq!(episode.steps.len(), 2);
}

ID Uniqueness

#[tokio::test]
async fn test_episode_ids_unique() {
    let ids: HashSet<String> = (0..100)
        .map(|i| memory.start_episode(format!("Task {}", i), ctx, type_).await)
        .collect();
    assert_eq!(ids.len(), 100);
}

Pattern Extraction Testing

#[tokio::test]
async fn test_pattern_extraction() {
    let patterns = memory.extract_patterns(episode_id).await?;
    assert!(!patterns.is_empty());
    for pattern in &patterns {
        assert!(!pattern.name.is_empty());
        assert!(pattern.frequency > 0.0);
    }
}

Reward Scoring Testing

#[tokio::test]
async fn test_reward_score_bounds() {
    let perfect = calculate_reward_score(1.0, 1.0);
    assert!(perfect >= 0.9);

    let zero_efficiency = calculate_reward_score(0.0, 1.0);
    assert!(zero_efficiency < perfect);
}

Memory Retrieval Testing

#[tokio::test]
async fn test_retrieval_by_context() {
    let rust_memories = memory.retrieve_context("rust", Some(10)).await?;
    assert!(rust_memories.len() >= 1);
    assert!(rust_memories.iter().all(|m| m.context.language == "rust"));
}

Best Practices

  • Use setup functions for memory initialization
  • Clean up after tests
  • Test edge cases (empty episodes, failed operations)
  • Verify state transitions
  • Mock embedding providers for speed

Score

Total Score

75/100

Based on repository quality metrics

SKILL.md

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+10
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0/15
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+10
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0/5
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+5
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+5
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+5

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