Rui CarmoOpenClaw is a self-hosted personal AI assistant you run on your own devices, with a gateway control plane that connects to the chat channels you already use (WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, iMessage, Teams, WebChat, plus optional BlueBubbles, Matrix, and Zalo) and adds voice on macOS/iOS/Android alongside a live, controllable canvas. It ships with a CLI onboarding wizard (openclaw onboard) for macOS, Linux, and WSL2, with installs via npm/pnpm/bun. See the OpenClaw site and docs for the canonical reference.
OpenClaw was created by Peter Steinberger. In his February 2026 post “OpenClaw, OpenAI and the future,” he described OpenClaw as a playground project that “created such waves,” and announced he is joining OpenAI to work on bringing agents to everyone while OpenClaw moves to a foundation and stays open and independent.1
This page tracks the core project and the variants that build on or integrate with its workflows within the wider Agentic Systems space.
Ecosystem
| Field | Category | Date | Link | Notes |
|---|---|---|---|---|
| Assistants | Autonomous | 2026 | HermitClaw | an autonomous AI creature that lives in a folder, continuously generating research reports, scripts, and notes with personality genome, memory system, and dreaming cycle |
| Containerized | NanoClaw | lightweight Claude assistant running in containers with security-first design, minimal codebase, WhatsApp integration, scheduled tasks, and agent swarms support |
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| Core | OpenClaw | a personal, always-on assistant framework with a strong community and ecosystem around personal agent deployment |
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| Embedded/IoT | PycoClaw | MicroPython-based OpenClaw-for-embedded platform targeting ESP32-class boards, with multi-provider LLM routing, chat channels, tool calling, OTA updates, and extension support on sub-$5 hardware. |
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| zclaw | smallest possible AI personal assistant for ESP32 in C, targeting <=888KB firmware, with schedules, GPIO control, persistent memory, and Telegram/web relay chat |
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| Local-first | LocalGPT | a local device-focused AI assistant in Rust with persistent memory, autonomous tasks, and OpenClaw-compatible workflows |
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| Low-resource | SeaClaw | OpenClaw rewritten in C with 709KB binary, <50ms cold start, ~2-5MB memory footprint, includes Telegram bot and tool execution |
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| PicoClaw | an ultra-lightweight personal AI assistant in Go designed for low-cost hardware and very low RAM usage |
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| ZeroClaw | ultra-lightweight Rust-based AI assistant infrastructure with <5MB memory footprint, <10ms startup, runs on $10 hardware with 22+ provider support |
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| Minimal | nanoclaw | a minimalist agent that runs inside Apple’s container framework |
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| NullClaw | 678 KB static Zig assistant with ~1 MB RAM, <2 ms startup, 22+ providers, 18 channels, sandboxing, and OpenClaw migration tools for ultra-lean autonomous deployments and hardware control. |
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| Device Control | Android | DroidClaw | AI agent that controls Android phones via ADB using vision models and accessibility trees, supports workflows and multiple LLM providers |
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| Interfaces | Chat UI | OpenClaw Deck | multi-column chat interface for OpenClaw agents with side-by-side conversations, theming, and keyboard navigation |
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| openclaw-ui | Adaptive Cards extension for OpenClaw that adds rich interactive cards, forms, buttons, and inline GUI-style chat elements by patching the server plugin and chat UI. |
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| Orchestration | Platform | NemoClaw | an OpenShell plugin for running OpenClaw agents in secure sandboxes with declarative policy, network controls, and managed inference routing through NVIDIA cloud models. |
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| Clawe | multi-agent coordination system powered by OpenClaw with kanban task management, cron-based heartbeats, and a web dashboard |
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| LogClaw | Kubernetes Helm monorepo for an OpenClaw-adjacent AI log intelligence stack with OTLP ingestion, anomaly detection, trace-correlated incident ticketing, and GitOps-style multi-tenant deployment. |
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| Sandboxing | Docker | piclaw | minimal Docker sandbox for running pi-mono with optional WhatsApp integration (piclaw), my own take on the OpenClaw craze |
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| Training | Reinforcement Learning | OpenClaw-RL | a fully asynchronous reinforcement learning framework that trains personalized OpenClaw agents from conversation feedback |
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https://steipete.me/posts/2026/openclaw ↩︎