# OpenClaw Local-first, self-hosted personal AI assistant that connects to messaging apps and runs proactively ## About OpenClaw OpenClaw is a popular open-source personal AI assistant created by Peter Steinberger and first published in November 2025 as Warelay, becoming Clawdbot, then Moltbot, then OpenClaw over January 2026. It runs on hardware you own and connects to a long list of messaging apps (WhatsApp, Telegram, Discord, iMessage, Slack, Signal, Microsoft Teams, Matrix, and more), with native iOS and Android apps as well. It pairs with an external LLM you pick (Claude, GPT, DeepSeek, or local models). OpenClaw's defining traits are its computer access (it can read and write files, run shell commands, and browse the web), its local context and skills, its heartbeat (the agent can wake itself up to act, not only respond), and its ability to run several isolated agents inside one Gateway process, each with its own workspace and state, plus sub-agents and opt-in agent-to-agent messaging. The ideal OpenClaw user is a developer or technically comfortable person who wants complete control over their AI assistant, picks the LLM, owns the data on their own machine, and is comfortable with terminal setup, server maintenance, and updates from a fast-moving open-source project. Sistava is the opposite trade. It is a managed cloud platform; you sign up, hire an AI employee, and start delegating without infrastructure. The same employee scales into a Sales Team, Support Team, or Ops Team that shares one persistent memory layer. The choice between them is mostly: do you want to run an assistant on your machine, or hire a workforce in the cloud? ## Platform details - Pricing: Open source (MIT). Self-hosted users pay LLM API costs plus their own hosting (Mac Mini, VPS, or local machine). - Founded: November 2025 as Warelay, renamed Clawdbot on 2 January 2026, Moltbot on 27 January 2026 after an Anthropic trademark complaint, and OpenClaw on 30 January 2026 - Funding: Open source under MIT, stewarded since 8 July 2026 by the OpenClaw Foundation, a 501(c)(3) with a paid team and corporate partners including OpenAI, GitHub, NVIDIA, and Vercel. Created by Peter Steinberger, who joined OpenAI in February 2026. - Last reviewed: 2026-08-13 ## Official website - [Visit OpenClaw](https://openclaw.ai) ## What Is OpenClaw and Who Is It For? OpenClaw is an open-source AI assistant first published in November 2025 by Peter Steinberger. It shipped as Warelay, became Clawdbot on 2 January 2026, Moltbot on 27 January after an Anthropic trademark complaint, and OpenClaw on 30 January. Since 8 July 2026 it has been stewarded by the OpenClaw Foundation, a 501(c)(3) with a paid team and corporate partners including OpenAI, GitHub, NVIDIA, and Vercel, with the licence staying MIT. It runs on hardware you own, has native iOS and Android apps, and connects to the messaging apps you already use. You talk to it like a person, and it does things for you: sends emails, schedules meetings, researches topics, monitors websites, and runs shell commands. The ideal OpenClaw user is a developer or technically comfortable person who wants complete control over their AI assistant. You choose the LLM (Claude, GPT, DeepSeek, or local models), you own your data on your machine, and you can extend it with custom skills. The community is active, with new skills and integrations contributed regularly. If you enjoy configuring tools, managing servers, and tinkering with AI pipelines, OpenClaw is a genuinely fun and powerful project. If you want something that works out of the box without touching a terminal, it is not the right fit. ## The Setup Experience: What to Expect Setting up OpenClaw requires the runtime, an LLM API key, and per-channel auth for the messaging platforms you want it on. You clone the repo, configure it, connect your messaging platform (each has its own auth flow), and start the service. The official documentation is solid, but a complete setup takes meaningful time and is comfortable for developers, not for non-technical users. Ongoing maintenance includes keeping the server running (VPS or always-on Mac Mini), applying updates from the GitHub repo, monitoring API costs, and restarting the service after crashes. If your VPS provider has downtime, your assistant goes offline with it. Sistava requires no setup at all. You sign up, create your AI employee, and start talking. The platform handles infrastructure, updates, monitoring, and scaling. Your assistant is available from any device, any browser, anywhere. ## Local-First vs Managed Cloud OpenClaw is local-first: your data, your machine, your code path. That is its biggest selling point for users who want sovereignty over their AI assistant. The trade is operational: you run the upgrades, you patch the dependencies, you watch the cost meter on whichever LLM provider you connected. Sistava is managed cloud: data is encrypted in transit and at rest, isolated per tenant, and updates are deployed centrally. The trade is symmetric: less control over the runtime, much less effort to keep it alive. Both are valid models. Pick the one that matches how much infrastructure you want to own. ## Memory and Intelligence: Searchable Files vs Layered Memory OpenClaw stores memory as Markdown files, which sounds basic until you look at how it reads them. The built-in SQLite engine does keyword, vector, and hybrid search, with LanceDB and Honcho as alternative backends, so semantic recall works even when you phrase a question differently from how the note was written. Straight recall ("what is my dentist appointment?") is solid. What files plus search do not give you is a model of how entities relate to each other across many conversations. Sistava uses layered persistent memory: short-term context for the current conversation, long-term memory that persists across sessions, episodic memory that recalls specific interactions, procedural memory that learns your workflows, and a graph layer that maps relationships between people, projects, and concepts. The result is an assistant that connects facts rather than just recalling keywords. ## Many Agents vs a Managed Team OpenClaw is not a one-agent system. A single Gateway process can run many isolated agents, each with its own workspace and state directory, and the project showcases a 15+ agent army spread across three machines. Agents can spawn sub-agents, and they can message each other once you enable and allowlist that. If what you want is several independent assistants with clean separation between them, OpenClaw already does it, and it does it on your own hardware. What it does not ship is management. There is no leader that assigns a piece of work to a named specialist, checks the result, and reports back. There are no sprints with an agreed goal and a written review at the end. Coordination is routing and configuration, and it stays your job. Sistava puts that layer in the product. Hire AI employees for specific roles: a sales rep, a marketing coordinator, a support agent, an operations manager. Group them under a leader who delegates and reviews. Run sprints toward a goal you agree with them. Track performance, costs, and output per employee. ## When to Choose OpenClaw vs Sistava Choose OpenClaw if you are a developer who enjoys self-hosting, wants data on your own hardware, plans to extend the agent with custom skills, primarily communicates via WhatsApp/Telegram/iMessage, and does not mind spending time on setup and ongoing maintenance. Choose Sistava if you want your AI assistant working today (not this weekend), want a leader that delegates to named specialists and reviews their work rather than agents you route yourself, want thousands of app integrations without configuring each one manually, or simply do not want to manage servers. You talk to your AI employee in plain language, and it handles the rest. ## Comparison - [Compare OpenClaw with Sistava](/en/compare/ai-personal-assistant/openclaw) — See the two platforms side by side when you are ready to evaluate them.