forked from cardosofelipe/fast-next-template
Felipe Cardoso
3554efe66a
Implements the episodic memory service for storing and retrieving agent task execution experiences. This enables learning from past successes and failures. Components: - EpisodicMemory: Main service class combining recording and retrieval - EpisodeRecorder: Handles episode creation, importance scoring - EpisodeRetriever: Multiple retrieval strategies (recency, semantic, outcome, importance, task type) Key features: - Records task completions with context, actions, outcomes - Calculates importance scores based on outcome, duration, lessons - Semantic search with fallback to recency when embeddings unavailable - Full CRUD operations with statistics and summarization - Comprehensive unit tests (50 tests, all passing) Closes #90 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
18 lines
390 B
Python
18 lines
390 B
Python
# app/services/memory/episodic/__init__.py
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"""
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Episodic Memory Package.
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Provides experiential memory storage and retrieval for agent learning.
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"""
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from .memory import EpisodicMemory
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from .recorder import EpisodeRecorder
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from .retrieval import EpisodeRetriever, RetrievalStrategy
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__all__ = [
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"EpisodeRecorder",
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"EpisodeRetriever",
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"EpisodicMemory",
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"RetrievalStrategy",
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]
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