Results for “mem”

Structured memory system with domains, decay, and links for AI agents, replacing flat memory files with a weighted, interconnected memory palace.

Compress bloated project or global memory while preserving decisions, rationale, revisit triggers, provenance, and active user preferences. Load when memory exceeds budget, global memory is too large, session logs are repetitive, or before appending to an over-budget memory file.

Drafts U.S. internal legal memoranda using IRAC structure to analyze issues, synthesize authority, assess risks, and recommend strategy. Use when asked to draft a research memo, internal memo, issue analysis, case strategy memo, or any IRAC-based legal analysis.

Condenses complex materials into a one-page executive decision memo with recommendation, evidence, tradeoffs, and next actions.

Persists context across sessions by compiling sources into a local SQLite store and markdown tree, then retrieves relevant memory via embedding search.

Delete, redact, or archive project and global memories when the user says forget this, delete memory, remove that preference, do not remember, redact sensitive information, or retire stale memory.

Write legal memoranda with analysis and conclusions. TRIGGERS - Use when user needs help with legal-memo related tasks.

Write legal memoranda with analysis and conclusions. TRIGGERS - Use when user needs help with legal-memo related tasks.

Search conversation history and access Dream-managed profile and memory files without editing them.

Explains how claude-mem captures observations from Read, Edit, and Bash actions, when memory injection activates, and where data is stored locally.

Add persistent, intelligent memory to AI agents with Mem0 — add/search/update/delete memories per user/agent/session, supports vector + graph + key-value storage, integrates with LangChain, CrewAI, OpenAI Assistants, and any LLM.

Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.

Consolidates project memory across harness and .memory/ with theme clustering, practical-expiry prune, ground-truth verify, and an adversarial second pass. Use when the user runs /memory:consolidate, asks to tidy/dedupe/prune memory, or reports redundant or stale memories. Also covers active writing during work.

Checks cloud sync status for claude-mem memories and performs first-time setup by collecting credentials, migrating legacy configuration, and restarting the worker.

Automate Memberspot operations through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Searches a local-first memory index and returns the top matching entries with paths and headers.

Create meme concepts with trending formats, captions, and brand alignment. TRIGGERS - Use when user needs help with meme-creator related tasks.

Create meme concepts with trending formats, captions, and brand alignment. TRIGGERS - Use when user needs help with meme-creator related tasks.

Generate memes using the memegen.link API. Use when users request memes, want to add humor to content, or need visual aids for social media. Supports 100+ popular templates with custom text and styling.

This skill should be used when the user asks to "reflect on skills from memory", "audit marketplace skills against memory", "从记忆中检查 skills 的问题", "反思并修改 skill", "apply memory feedback to skills", or wants to turn accumulated memory feedback about this marketplace's skills into concrete skill fixes. Reads the project's persistent memory, re-verifies each known skill problem against current code, then fixes the skill or corrects the stale memory.

Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.

Diagnoses and reduces Qdrant memory usage by analyzing resident memory, page cache, and providing optimization techniques like quantization, on-disk storage, and async_scorer.

Analyze volatile memory dumps using Volatility 3 to extract running processes, network connections, loaded modules, and evidence of malicious activity.

Indexes document metadata in SQLite and manages ephemeral key-value state in Redis for cross-session context.

Agentic memory system for writers - track characters, relationships, scenes, and themes

Stores, retrieves, and curates persistent facts in a structured memory map, distinguishing between user facts and reference text.

Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images.

Persist decisions, preferences, and project state across sessions using structured memory types

Preventing Jupyter cell hangs with explicit CuPy GPU memory cleanup

Persists and recalls agent knowledge across sessions using four approaches: static KB, company wiki, persistent memory, and session brain.

Multi-tiered memory management (HOT/WARM/COLD) for context compaction. Invoke ONLY for explicit compaction events: post-`/compact` cleanup, MEMORY.md tier promotion, archive batch, or "trim my context". NOT for general recall (use deep-recall) or routine memory writes (use storage-router). Triggers: "compact memory", "promote to durable", "archive old context", "tier this".

Recommends an inference runtime and memory-related launch flags for LLM/VLM workloads on NVIDIA Jetson devices, based on a live memory audit snapshot.

Maintains a persistent session memory across Claude sessions by loading project state at startup, capturing errors and decisions during work, and writing structured handoff summaries at session end.

Merges mature lessons from a domain memory file into its instruction file, preserving knowledge with minimal redundancy.

Consolidates auto-memory files in ~/.claude/projects by auditing, planning, and executing a 4-phase cleanup with user approval.

Persistent cross-session memory management. Enables agents to remember user preferences, project conventions, and past decisions across different sessions using a structured MEMORY.md index and topic files.