“Agent memory”

Persistent memory system for AI agents — remember facts, learn from experience, and track entities across sessions.

TypeDB-backed ontological memory with schema-driven retrieval.

Use this skill when you need evidence-bounded memory write/read/update/delete, retention, contamination, isolation, provenance, and forgetting behavior…

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…

Shared semantic memory store for AI agents.

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

Consolidate Codex project/session memory across work sessions.

Audit the project's persistent agent memories for backfire-risk, stale/superseded state, contradictions, redundancy, and bloat.

Creates scheduled tar.gz backups of agent memory or chat history, lists existing backup snapshots, and restores from a previous backup point with automatic…

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource…

AI agent memory with mathematical foundations.

This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or…

用于在 OpenClaw 环境中安装、配置并验证 @tencentdb-agent-memory/memory-tencentdb 插件。当用户提到"安装记忆插件""配置 memory-tencentdb""开启长期记忆/召回"或出现相关报错时应触发。

Knowledge and governance closeout: reconcile project docs, rule files (CLAUDE.md/AGENTS.md), authorized agent memory, and workspace residue with what the code…

This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or…

Design and implement memory architectures for agent systems.

Typed knowledge graph for structured agent memory and composable skills.

Gives AI agents persistent memory across conversations using Honcho.

Periodic evidence-based self-audit of the whole agent system — the orchestrator, its docs/SSOTs, rules, memory, subagents, tools, infra and the work it claims…

Review every conversation Rami has ever had with his agents - Claude Code transcripts across all projects, agent memory, voice note transcriptions, journals -…

Agent-agnostic long-term project memory through `.memory-bank/` + RULES (TDD/SOLID/Clean Architecture/FSD/Mobile) + dev-toolkit commands.

Message an agent's parent, siblings, or direct children through the daemon.

This skill should be used when the user asks to "offload context to files", "implement dynamic context discovery", "use filesystem for agent memory", "reduce…

Create and operate a project-scoped research wiki that turns a human seed into an evidence-grounded writing guideline or software implementation plan.