feat(memory): #62-4 Episodic Memory Implementation #90

New Issue

cardosofelipe · 2026-01-05T00:16:25Z

cardosofelipe commented

2026-01-05 00:16:25 +00:00

Part of Issue #62 - Agent Memory System

Phase: 2 (Memory Types)
Priority: P1
Complexity: High

Overview

Implement episodic memory - experiential memories that store past task completions, failures, and learnings for agent learning.

Components

backend/app/services/memory/episodic/memory.py - EpisodicMemory class
backend/app/services/memory/episodic/recorder.py - Episode recording
backend/app/services/memory/episodic/retrieval.py - Retrieval strategies

Features

Episode recording during agent execution
Store task completions with context
Store failures with error context
Retrieval by semantic similarity (vector search)
Retrieval by recency
Retrieval by outcome (success/failure)
Importance scoring based on outcome significance
Episode summarization for long-term storage

API

class EpisodicMemory:
    async def record_episode(self, episode: EpisodeCreate) -> Episode
    async def search_similar(self, query: str, limit: int = 10) -> list[Episode]
    async def get_recent(self, limit: int = 10, since: datetime | None = None) -> list[Episode]
    async def get_by_outcome(self, outcome: Outcome, limit: int = 10) -> list[Episode]
    async def get_by_task_type(self, task_type: str, limit: int = 10) -> list[Episode]
    async def update_importance(self, episode_id: UUID, score: float) -> None
    async def summarize_episodes(self, episode_ids: list[UUID]) -> str

Performance Target

Episodic memory retrieval: <100ms P95

Acceptance Criteria

All features implemented
>90% test coverage
make validate-all passes
Multi-agent review completed

## Part of Issue #62 - Agent Memory System **Phase:** 2 (Memory Types) **Priority:** P1 **Complexity:** High ## Overview Implement episodic memory - experiential memories that store past task completions, failures, and learnings for agent learning. ## Components - `backend/app/services/memory/episodic/memory.py` - EpisodicMemory class - `backend/app/services/memory/episodic/recorder.py` - Episode recording - `backend/app/services/memory/episodic/retrieval.py` - Retrieval strategies ## Features - [ ] Episode recording during agent execution - [ ] Store task completions with context - [ ] Store failures with error context - [ ] Retrieval by semantic similarity (vector search) - [ ] Retrieval by recency - [ ] Retrieval by outcome (success/failure) - [ ] Importance scoring based on outcome significance - [ ] Episode summarization for long-term storage ## API ```python class EpisodicMemory: async def record_episode(self, episode: EpisodeCreate) -> Episode async def search_similar(self, query: str, limit: int = 10) -> list[Episode] async def get_recent(self, limit: int = 10, since: datetime | None = None) -> list[Episode] async def get_by_outcome(self, outcome: Outcome, limit: int = 10) -> list[Episode] async def get_by_task_type(self, task_type: str, limit: int = 10) -> list[Episode] async def update_importance(self, episode_id: UUID, score: float) -> None async def summarize_episodes(self, episode_ids: list[UUID]) -> str ``` ## Performance Target - Episodic memory retrieval: <100ms P95 ## Acceptance Criteria - [ ] All features implemented - [ ] >90% test coverage - [ ] `make validate-all` passes - [ ] Multi-agent review completed

cardosofelipe closed this issue

2026-01-05 03:26:49 +00:00

cardosofelipe referenced this issue

2026-01-05 10:04:59 +00:00

feat(mcp): Agent Memory System #62

cardosofelipe referenced this issue from a commit

2026-01-06 00:56:28 +00:00

feat(memory): #87 project setup & core architecture

cardosofelipe referenced this issue from a commit

2026-01-06 00:56:28 +00:00

feat(memory): add episodic memory implementation (Issue #90)

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