“Agent memory”

Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards.

Memory is the cornerstone of intelligent agents.

Audit and clean up Claude Code auto-memory for a project: find stale, duplicated, or misplaced memories, move durable rules to their proper home, and apply…

Use when user mentions or implies: agent memory; User mentions or implies: long-term memory

Architect agent memory across short-term context, long-term vector stores, and CoALA-style cognitive layers, with LangMem patterns, vector-DB selection…

Design memory provenance and tenant isolation.

Memory is the cornerstone of intelligent agents.

Agent Memory 治理写作框架，适合讨论记忆写入、检索、遗忘、可撤销性、长期偏好和记忆评测。

Shared semantic memory store for AI agents.

Use when debugging code, tests, builds, deployments, CI failures, runtime errors, framework issues, API migrations, or UI state bugs where a coding Agent…

An agent memory workflow guide for OpenClaw and Codex with MEMORY.md, daily notes, SESSION-STATE, working-buffer, Obsidian archiving, and optional OpenViking…

INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access.

Use when adding or reviewing memory search, memory writes, promotion, contradiction, or recall behavior.

Memory is the cornerstone of intelligent agents.

Working, episodic, and semantic memory architectures for autonomous multi-turn agents and long-running sessions.

Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration…

Scoped CLAUDE.md memory system that reduces context token spend.

Consolidate Codex project/session memory across work sessions.

Operate the Agent Memory Boundary V8 pack with explicit v8 council, ladder, and autonomy boundaries.

Operate the Agent Memory Boundary V8 pack with explicit v8 council, ladder, and autonomy boundaries.

Manage long-term persistence and retrieval of agent context.

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Three-tier agent memory model (hot/cold/wiki) for context reduction per spawn

Semantic memory search across all agent memories and conversation history.