Tune moflo's memory stack for speed, RAM, and index quality. Covers HNSW parameters (M, efConstruction, ef), vector quantization, batch operations, and common bottlenecks.
Use when deciding the lowest-cost context path for a mixed corpus, especially when choosing among direct reading, helper conversion, graph build, graph update, or graph query.
Analyze context management, memory systems, and state continuity in agent frameworks. Use when (1) understanding how prompts are assembled, (2) evaluating eviction policies for…
记忆编排器是面向 AI Agent 的智能记忆管理系统，针对分层体系不清、自动摘要质量不稳、 并发写入冲突、缺乏健康度指标四大痛点而设计。核心能力包括：四层记忆架构（工作/短期/长期/重要， 每层独立容量与清理策略）、三模式检索（关键词/语义/混合，混合模式算法加权打分）、 自动摘要生成与质量评估器（信息保留率/压缩比/可读性/准确性四维指标）、…
记忆编排器免费版提供基础记忆管理能力，支持短期与长期两层记忆架构. 核心能力包括：两层记忆存储（短期/长期）、关键词检索、基础摘要生成、本地持久化. 适用于简单的 Agent 记忆管理场景：当前会话上下文存储、基础偏好记录. 无需向量数据库，无需额外 API Key，开箱即用. 如需四层架构、混合检索、健康度仪表盘、并发冲突解决等高级能力，请升级到付费版.
记忆编排器是面向 AI Agent 的智能记忆管理系统，针对"分层体系不够清晰、自动摘要质量不稳定、并发写入冲突、缺乏记忆健康度指标"四大高频痛点而设计。它用四层记忆架构（工作/短期/长期/重要）与多模式检索，提供从存储到检索到摘要的全生命周期编排，让 Agent 记忆真正可控可观测。Use when…
Use when user says "reorganize memory", "clean up memory", "audit memory", or wants to maintain the structured memory system.
Hierarchical memory organization for multi-session context retention. Wings (projects) > Rooms (domains) > Drawers (decisions).
Persistent memory patterns for moflo agents — session memory, long-term knowledge, pattern learning, and cross-session context via moflo's sql.js + HNSW vector store.
Complete agent memory + performance system. Extracts structured facts, builds knowledge graphs, generates briefings, and enforces execution discipline via pre-game routines, tool…
Use when user says 'remember this', when deciding where to store learnings or context, when about to edit CLAUDE.md or create a skill, or when routing any persistent information.
Detect persistent instruction injection or long-term memory poisoning. Focus on writing/retaining hostile instructions for future tasks, not data leakage.
Go application memory profiling and analysis. Use when investigating memory leaks or high memory usage.
Use when when designing or optimizing backends that handle large MS datasets (mzML, mzXML, CDF files via MsBackendMzR), to verify that claimed memory advantages of on-disk or…
Use when when benchmarking or validating the scalability of single-cell algorithms that claim linear or sublinear space complexity, particularly when processing datasets with ≥10…
Persistent role-scoped memory across sessions. The agent that worked on your codebase yesterday knows things today.
Audit project memory files for stale entries — items where the cited PR is merged, the cited bug is fixed, the cited file/function no longer exists, or the gotcha was patched out…
Use when a graph already exists and the user needs retrieval, tracing, explanation, or gap detection from graph memory before reopening the full corpus.
面向AI Agent记忆文件的安全扫描系统，解决Prompt注入检测难、凭证泄漏被动发现、扫描误报高、跨文件威胁关联缺失四大痛点. 提供七大威胁类别检测、五级安全分级、本地+可选远程LLM分析、跨文件威胁关联、误报抑制、隔离与恢复、增量扫描七大核心能力.
Memoria RAG vectorial local. ChromaDB/Qdrant indexa todos tus archivos personales para búsqueda semántica.
Read Cody's temporal Neo4j memory graph. Use when drafting, briefing, or answering questions about current or historical contact/deal state.
Scan all memory files, documentation (**/docs/**/*.md), and README files (**/README.md) for drift, contradictions, and stale references.
Use when the user learns something worth remembering, makes a decision, discovers a preference, or uncovers a pattern. Auto-triggers to save to .claude/memory/ in the right file.
Sleep-time memory reflection: review recent conversations and daily notes, extract insights, and consolidate into long-term memory.
Periodic memory maintenance — archive session files, convert recurring knowledge into summaries, update the memory index.
Save what was learned to Hindsight long-term memory. Use when a task finishes, when the user states a fact, decision or preference, and when you discover something a later run or…
Use when long-term knowledge retention is needed (weeks to months), studying for exams or certifications, learning new job skills or technology, mastering substantial material…
Load only the minimum relevant memory for a task using 3-level progressive disclosure. Activate before context-building — never load full memory dumps.
Memory hygiene audit -- checks for stale, contradictory, low-confidence, and consolidation-candidate memories, then offers cleanup actions with user confirmation.
Reviews stored memory quality by detecting duplicates, contradictions, and stale entries with actionable recommendations.
Cross-language patterns for memory-safe programming including RAII, ownership, smart pointers, and resource management.
Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C.
Scores and filters retrieved memory against trust and poisoning risk. Use for: sanitize memory, trust score retrieval, clean knowledge graph, `semantic-memory-manager`.
Save current session context and generate a handoff prompt for continuing in a new session. Use when the user says "memory-save", "세션 저장", "정리해줘", "context 저장", or when context…
Scans OpenClaw agent memory files and workspace configs for malicious content, credential leaks, 。Use when 需要生成营销文案、写作内容、标题优化、内容创作时使用。不适用于纯技术文档撰写。适用于独立开发者、企业团队和自动化工作流场景。
Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift.
Capture a conversation's essence into the active host's memory directory. Supports Codex with a Workbench project-memory convention and Claude Code project memory without assuming…
Semantic search across Ruflo AgentDB with HNSW vector indexing
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their…
Memory health dashboard showing line counts, topic files, capacity, stale entries, and recommendations.
Store a memory in ourmem. Use when user says remember, save, store, or don't forget something.
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events.
Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform not...
记忆体系瘦身与管道去重。MUST trigger when the user says: "瘦身", "清理记忆", "/thin", "记忆瘦身", "memory瘦身", "记忆减肥", "索引瘦身".
Use when adding Memory Events, Memory Tickets, memory-map.json, vault-references.json, PM Soul memory ownership, or Memory Curator routing to an agent repo.
Turn workflows from your MemSearch memory into reusable skills. Use when the user asks to make/create/extract/distill a skill from what they just did or from past work, review…
Agent-controlled memory plugin for OpenClaw with confidence scoring, decay, and semantic search. The agent decides WHEN to store/retrieve memories — no auto-capture noise.
Persistent long-term memory protocol powered by mem0. Evaluate conversations for durable facts worth storing via memory_add.
Diagnoses and reduces Qdrant memory usage. Use when someone reports 'memory too high', 'RAM keeps growing', 'node crashed', 'out of memory', 'memory leak', or asks 'why is memory…
Store and retrieve durable facts from the Mem0 vector-memory MCP. Use at session start to recall task-relevant memories, and whenever you learn a durable user- or domain- — from…
Open the agd-memory project memory in a local browser viewer. Spins up a small http server on localhost and prints the URL.
Use when capturing, recalling, reviewing, or consolidating durable project memory across sessions, especially prior decisions, constraints, procedures, and episodes that must…
Write a temporal fact into Cody's Neo4j memory graph. Use when the user explicitly corrects Cody, updates a deal, changes a recipient preference, or confirms a high-stakes fact.
Memorystore Config - Auto-activating skill for GCP Skills. Triggers on: memorystore config, memorystore config Part of the GCP Skills skill category.
Generate an AI practice test for the Memory Techniques app (VŠE FPH přijímačky — matematika nebo angličtina) locally, bez volání Anthropic API.
Enable AI agents to interact with Memos, an open-source self-hosted note-taking tool with REST and gRPC APIs.
MemPalace — mine projects and conversations into a searchable memory palace. Use when asked about mempalace, memory palace, mining memories, searching memories, or palace setup.
Local-first AI memory system — 96.6% R@5 trên LongMemEval, verbatim storage (không lossy summary), MCP server 29 tools, ChromaDB/Qdrant/pgvector backends. Zero API calls.
Recall protocol for MemPalace — search the palace before answering about past work, people, projects, or prior decisions.
Integrate Memphis local-first brain as long-term memory for OpenClaw agents. Use when: (1) Agent needs persistent memory across sessions, (2) Journaling insights/decisions, (3)…