Sponsored by

Find leads on Reddit on auto pilot

Agent skills
ai-memory

Topic: ai-memory

67 skills in this topic.

manage-schemas Create, view, edit, delete, and validate note schemas for the MCP Task Orchestrator in .taskorchestrator/config.yaml — the templates that define which notes agents must fill at each workflow phase. Use when user says "create schema", "show schemas", "edit schema", "delete schema", "validate config", "what schemas exist", "add a note to schema", "remove note from schema", or "configure gates".
jpicklyk/task-orchestrator 177
status-progression Navigate role transitions for MCP work items using advance_item. Shows current role, gate status, required notes, and the correct trigger to use. Use when a user says "advance this item", "move to work", "start this task", "complete this item", "what's the next status", "why can't I advance", "unblock this", "cancel this item", or "check gate status".
jpicklyk/task-orchestrator 177
work-summary
jpicklyk/task-orchestrator 177
hipocampus-compaction Build 5-level compaction tree (daily/weekly/monthly/root) with smart thresholds and fixed/tentative lifecycle. Run at session start when triggers are met, or via external scheduler.
kevin-hs-sohn/hipocampus 147
hipocampus-search Search memory using qmd (BM25 + optional vector) and compaction tree traversal. Use ROOT.md to decide whether to search memory or look externally. Always check memory before external lookups.
kevin-hs-sohn/hipocampus 147
hipocampus-recall Memory recall guide. Structured retrieval from hipocampus memory — ROOT.md triage, manifest-based LLM selection, qmd search fallback.
kevin-hs-sohn/hipocampus 147
hipocampus-flush Manual memory flush: dump current session context to daily raw log via subagent. Invoke with /hipocampus:flush. Run hipocampus:compaction afterwards for tree propagation and qmd reindex.
kevin-hs-sohn/hipocampus 147
hipocampus-core 3-tier agent memory system with 5-level compaction tree. Claude Code version. Defines session start protocol, end-of-task checkpoints, and memory file management. MUST be followed every session.
kevin-hs-sohn/hipocampus 147
hipocampus-core 3-tier agent memory system with 5-level compaction tree. OpenCode version. Defines session start protocol, end-of-task checkpoints, and memory file management. MUST be followed every session.
kevin-hs-sohn/hipocampus 147
hipocampus-core 3-tier agent memory system with 5-level compaction tree. OpenClaw version. Defines session start protocol, end-of-task checkpoints, and memory file management. MUST be followed every session.
kevin-hs-sohn/hipocampus 147
memory-engine Memory management system for Claude Code — Student Loop, Smart Context, Auto Learn, Session Handoff, Correction Cycle. Triggered by memory commands (/save, /reflect, /handoff, /check) or memory-related questions. Not for general programming tasks.
HelloRuru/claude-memory-engine 114
honcho-memory Gives AI agents persistent memory across conversations using Honcho. Automatically saves and retrieves user context so the AI remembers preferences, history, and facts between sessions. Use when you need the AI to remember past conversations, recall what a user has told it, inject relevant context into prompts, or manage separate memory spaces for different topics.
plastic-labs/honcho 2,088
migrate-honcho-ts Migrates Honcho TypeScript SDK code from v1.6.0 to v2.1.1. Use when upgrading @honcho-ai/sdk, fixing breaking changes after upgrade, or when errors mention removed APIs like .core, getConfig, observations, or snake_case properties.
plastic-labs/honcho 2,088
migrate-honcho Migrates Honcho Python SDK code from v1.6.0 to v2.1.1. Use when upgrading honcho package, fixing breaking changes after upgrade, or when errors mention AsyncHoncho, observations, Representation class, .core property, or get_config methods.
plastic-labs/honcho 2,088
honcho-integration Integrate Honcho memory and social cognition into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, implementing the dialectic chat endpoint for AI agents, or wiring Honcho into bot frameworks (nanobot, openclaw, picoclaw, etc).
plastic-labs/honcho 2,088
ori-memory Persistent agent memory with learning retrieval. Knowledge graph on markdown files — capture insights, decisions, research, and learnings during work, then retrieve them weeks or months later. Use when knowledge is too valuable to lose but too much to inject into every prompt.
aayoawoyemi/Ori-Mnemos 249
knowledge-agent Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
thedotmack/claude-mem 48,051
make-plan
thedotmack/claude-mem 48,051
do
thedotmack/claude-mem 48,051
openclaw
thedotmack/claude-mem 48,051
claude-code-plugin-release Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, and plugin.json, build verification, git tagging, GitHub releases, and changelog generation.
thedotmack/claude-mem 48,051
timeline-report Generate a "Journey Into [Project]" narrative report analyzing a project's entire development history from claude-mem's timeline. Use when asked for a timeline report, project history analysis, development journey, or full project report.
thedotmack/claude-mem 48,051
smart-explore Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.
thedotmack/claude-mem 48,051
do Execute a phased implementation plan using subagents. Use when asked to execute, run, or carry out a plan — especially one created by make-plan.
thedotmack/claude-mem 48,051