Generate images & videos with AIsa. Gemini 3 Pro Image (image) + Qwen Wan 2.6 (video) via one API key.

Generate images & videos with AIsa. Gemini 3 Pro Image (image) + Qwen Wan 2.6 (video) via one API key.

Agent memory with ALMA meta-learning, LLM fact extraction, and full-text search. Observer calls remote LLM APIs (OpenAI/Anthropic/Gemini). ALMA and Indexer work offline.

Agent memory with ALMA meta-learning, LLM fact extraction, and full-text search. Observer calls remote LLM APIs (OpenAI/Anthropic/Gemini). ALMA and Indexer work offline.

OpenClaw Memory System

OpenClaw plugin for personal memory: auto-capture with guardrails + local semantic-ish search with safe redaction.

Core utilities for OpenClaw memory plugins (redaction, local store, embeddings).

OpenClaw plugin for documentation-grade memory: explicit capture + local searchable store with safe redaction.

Edge-optimized RAG memory system for OpenClaw with semantic search. Automatically loads memory files, provides intelligent recall, and enhances conversations with relevant context. Perfect for Jetson and edge devices (<10MB memory).

OpenClaw记忆系统优化方案 - 四层架构 + 动态衰减 + 智能检索

OpenClaw plugin: auto-detect rate limits/quota/auth failures and switch sessions to fallback LLMs. Prevents 'API rate limit reached' loops by patching pinned session models.

Multi-LLM orchestration for OpenClaw with fan-out, pipeline, and consensus patterns. Dispatches tasks across 40+ models using AAHP v3 inspired handoffs.

Configure multi-agent TG group system with shared Workspace + MemOS memory. Use when user wants to set up multiple AI agents in a Telegram group, with specialized roles and collaborative workspace.

Standalone advanced network diagnostics for OpenClaw to continuously test end-to-end connectivity from OpenClaw agent to Telegram Bot API and approximate delivery to a personal Telegram client. Use when investigating latency spikes, packet loss, DPI/throttling/blocking suspicion, DNS instability, TLS/TCP issues, route changes, MTU shifts, retry/timeout behavior, or Telegram rate-limits with structured rotating JSON logs.

Production-ready Notion MCP wrapper with health monitoring, auto-reconnect & fallback. OpenClaw skill.

Use when diagnosing, repairing, or maintaining an OpenClaw Gateway on the same machine. Designed for rescue agents to fix a down gateway or check operational health. Supports Linux (systemd) and macOS (launchd).

Operational commands - dashboards, monitoring, and management for OpenClaw deployments.

Use the openclaw_paid_action tool to list actions, generate USDC invoices, and execute only after manual payment confirmation on Solana.

Use CallMyCall API to start, end, and check AI phone calls, and return results in chat. Use when the user asks to call someone, plan a future call, end a call, or fetch call results.

Transform your OpenClaw workspace into personalized AI-powered podcast briefings. Get daily audio updates on your work, priorities, and strategy in 8 compelling styles—from documentary narrator to strategic advisor. Connects directly to your agent's memory and files. Includes 3 free hours of podcast generation with your Superlore.ai API key. Schedule morning, midday, or evening briefings that keep you informed without reading screens.

OpenClaw onboarding guide for new users. Activate when a user asks how to get started with OpenClaw, says they are new, asks for a quickstart or tutorial, wants to learn OpenClaw basics, or mentions "new user tasks" / "onboarding" / "新手任务" / "快速入门". Guides users through 8 practical tasks with automatic progress detection and daily reminders until all tasks are complete.

OpenClaw 配置、CLI、排错、模型管理完整参考手册。修改 openclaw.json、执行 CLI 命令、排查问题时必须查阅此 Skill。

Self-improvement layer with evaluation separation, rollback, and tiered operator gates. Observes outcomes across sessions, detects recurring patterns, proposes improvements, validates proposals through a separate evaluator invocation, and applies changes safely with snapshot/rollback capability.

One-click remote OpenClaw deployment via SSH. Auto-detects OS and selects best method (Docker/Podman/npm). Use when: (1) Installing on VPS/cloud servers, (2) Automating multi-machine deployment, (3) Configuring models/channels/gateway post-install.