12,529 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Persistent memory enhancement for AI agents. Store conversations, search memories with semantic retrieval, and recall context across sessions. Use this skill when you need to remember user preferences, past conversations, project context, or any information that should persist beyond the current session. Provides…
Use this skill for Memory Palace durable-memory work in this repository: saving facts for later, recalling cross-session memory, deciding create vs update, handling guardaction or guardtargeturi, or using readmemory("system://boot"), searchmemory, compactcontext, rebuildindex, or indexstatus. Also use it when the user…
Persistent, local-first shared memory for AI agents. Corrections, preferences, and conventions persist across sessions, tools, and machines — stored as plain YAML on your disk, with zero-cost local search.
★not rated 312▲
+1 yesterdayA
tokens not measured
originalApache-2.0
A Chinese-language guide to designing the supporting systems around AI coding agents, including memory, permissions, context, delegation, reusable skills, hooks, and startup behavior.
Decide which files a task actually needs, record that as a reusable llm-context rule, verify it against the codebase - including the files your selection references but leaves out - and pack it for your own context, a chat, or a sub-agent you dispatch. Load when choosing what code to put in front of a model, packing…
Production hardening for AI coding agents — quality gates, security guards, continuous QA, and session memory. From the LACP (Local Agent Control Plane) framework.
★not rated 307▲
+1 11d agoA
tokens not measured
originalMIT
Use this skill for multi-turn, phased, or noisy work: research/reading, debugging, plan-then-execute, retries/pivots, background or asynchronous work, handoffs, user decisions, task switching, repeated items, or repeated progress checks. It keeps the conversation as a clean working set with checkpoints, timeline…
After making a non-obvious architectural decision, solving a novel bug, agreeing on a coding standard, or reaching a conclusion worth remembering, index it back into the knowledge base so the next occurrence is one search away. Uses adddocument or addfromurl. Closes the feedback loop that makes a RAG-backed team…
Use when maintaining or optimizing OpenClaw workspace files — AGENTS.md, TOOLS.md, SOUL.md, USER.md, IDENTITY.md, HEARTBEAT.md, BOOT.md, MEMORY.md, and related checklists and memory files. Covers workspace auditing, token budget analysis, new agent workspace setup from scratch, memory distillation, and cross-file…
A self-maintaining codebase map: atomic docs Claude loads at the start of each session and keeps in sync as the code changes. Any stack; greenfield or existing.
★not rated 284
changed 1mo agoA
tokens not measured
originalMIT
PMB (Personal Memory Brain) - local-first persistent memory for AI coding agents (MCP server, fully offline, no API keys). Runs locally from the pmb-ai Python package.
★not rated 283▲
+5 1mo agoA
tokens not measured
originalApache-2.0
The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into prioritised notes, consolidates when they grow, and recovers anything missed. Five layers of redundancy, zero maintenance. $0.00/month (using free-tier models). While…
Persistent memory for Claude — Ebbinghaus forgetting curve, semantic deduplication, MCP-native. Runs locally from the yourmemory Python package. Needs 1 environment variable to run.
Persistent, consensus-validated memory for AI agents via SAGE MCP server. Gives you institutional memory that survives across conversations — memories go through consensus validation (a BFT quorum on a multi-validator network; a single signed validator on a personal install), carry confidence scores, and decay over…
Task management for AI agents across context windows. Use when agents need to track work, log progress, hand off state, and maintain context across sessions. Includes workflows for single-issue focus, multi-issue work sessions, and structured handoffs. Essential for AI-assisted development where context windows reset…
Retrieve shared local work memory: terminal activity, AI conversation history, prior decisions, validation evidence, debugging trails, recaps, and handoff context. Use before asking the user to repeat local work context.
Persistent memory for repeated browser work. Use when an agent revisits the same sites or flows and should load a few relevant notes up front, then save durable site knowledge after the task finishes.
Long-term memory layer for Claude Code that learns and recalls your project context automatically.
★not rated 253 7mo agoA
tokens not measured
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: