OpenClaw alternatives in 2026: an honest shortlist

In this guide

1. At a glance
2. Why people look for an alternative and how we compared
3. NanoClaw, Hermes Agent, ZeroClaw, IronClaw, nanobot, PicoClaw and Olano
4. When to stay with OpenClaw
5. Cost, what to move and how to choose
6. Verdict and FAQ

Why do people look for an OpenClaw alternative?

Mostly for three reasons: the security model, the size of the codebase, and the work of operating it. None makes OpenClaw a bad project; together they make it one built for a single trusted operator.

OpenClaw is the largest open agent gateway: about 392,000 stars on its GitHub repository on 16 October 2026, an MIT licence, and WhatsApp, Telegram, Slack, Discord, iMessage and more than twenty other channels. Its creator, Peter Steinberger, joined OpenAI in February 2026, and an independent OpenClaw Foundation now stewards the project.

The security model is yours to configure. The README says tools "run on the host for the main session unless you configure sandboxing", and the project's security guide assumes "one trusted boundary per gateway: a single operator, or a team whose members trust each other". Sensible for a personal assistant; a poor fit for an agent shared by people who should not see each other's data.

Incidents made the risk concrete. In January 2026 OpenClaw patched a high-severity flaw (CVSS 8.8) in which a crafted link could make its Control UI send the gateway token to an attacker (advisory, fixed in v2026.1.29). On 1 February 2026 Koi Security reported 341 malicious skills on ClawHub, OpenClaw's skills marketplace, most of them installing a macOS credential stealer. Any open skills directory faces that exposure, but both events pushed people towards more isolated designs.

There is a lot of it, and someone has to run it. NanoClaw's author describes OpenClaw as "nearly half a million lines of code, 53 config files, and 70+ dependencies", a rival's characterisation but a fair point. And updates, reconnections and expiring tokens are the owner's job, which for a business is a role nobody agreed to take (Olano vs OpenClaw).

How we compared

We read each project's own repository on 16 October 2026 and compared isolation by default, how much code you have to trust, channels, model choice, who operates it, and how hard the move is. We did not run benchmarks; self-reported figures are labelled. We make Olano, so it is last and judged on the same terms. ZeroClaw and PicoClaw both warn about look-alike sites, so install only from the repositories we link.

1. NanoClaw: best for container isolation you can read

NanoClaw is "an AI assistant that runs agents securely in their own containers" (repository), MIT-licensed with about 31,000 stars. Each agent gets a Docker container that sees only the folders mounted into it, and agents never hold raw API keys: outbound requests pass through a credential gateway. It is built on Anthropic's Claude Agent SDK; other providers, including local models through Ollama, and channels such as WhatsApp, Telegram, Slack, iMessage and WeChat are added as skills.

Where it beats OpenClaw: operating-system isolation by default, and a codebase meant to be read end to end.

Where OpenClaw stays simpler: everything is built in. With NanoClaw you add channels and providers to your own copy, Docker is required, and the design is Claude-first.

Choose it if you want every agent boxed in and would rather own a smaller thing you understand. More in Olano vs NanoClaw.

2. Hermes Agent: best for an agent that learns from its own work

Hermes Agent, from Nous Research, is MIT-licensed and, at about 254,000 stars, the most popular alternative here (repository). It curates its own memory, creates skills after complex tasks and improves them in use, and searches its past sessions. Skills follow the open Agent Skills format. One gateway serves Telegram, Discord, Slack, WhatsApp, Signal and email, and it runs on anything from "a $5 VPS" to serverless infrastructure, with models from Nous Portal, OpenRouter, OpenAI or any custom endpoint.

Where it beats OpenClaw: it improves without you editing prompts, and hermes claw migrate imports an OpenClaw persona, memories, skills, allowlists, messaging settings and selected API keys, with a dry run first.

Where OpenClaw stays simpler: its behaviour changes only when you change it. A system that rewrites its own skills acts differently without a release (Olano Cortex vs Hermes covers that trade).

Choose it if re-explaining things is your main frustration and you want the shortest migration.

3. ZeroClaw: best for approvals on by default in one binary

ZeroClaw is a single Rust binary, licensed MIT or Apache-2.0, with about 33,000 stars (repository). Its default autonomy level is "supervised": medium-risk operations need approval and high-risk ones are blocked. Workspace boundaries, a command policy and OS sandboxes (Landlock, Bubblewrap, Seatbelt or Docker) are built in, and each action leaves a cryptographic receipt. The README claims 30+ channels and about twenty model providers, including Ollama and any OpenAI-compatible endpoint.

Where it beats OpenClaw: safer defaults. You switch the gates off, in what it calls "YOLO mode", rather than remembering to switch them on.

Where OpenClaw stays simpler: a much larger community and more guides.

Choose it if you want a small, fast runtime that asks before it acts.

4. IronClaw: best for sandboxed tools and protected secrets

IronClaw, from the NEAR AI organisation on GitHub, is a Rust reimplementation "inspired by" OpenClaw, licensed Apache-2.0 or MIT, with about 12,700 stars (repository). Untrusted tools run in WebAssembly sandboxes with capability-based permissions and endpoint allowlists; secrets are injected at the host boundary and never exposed to tool code; traffic is scanned for leaks and prompt-injection patterns. It keeps state in PostgreSQL.

Where it beats OpenClaw: the clearest separation here between what a tool can touch and the credentials it uses.

Where OpenClaw stays simpler: far more channels (IronClaw lists a terminal, webhooks, Telegram, Slack and a web gateway) and no database to run.

Choose it if tool and credential security is why you are leaving and fewer channels is acceptable.

5. nanobot: best for a small Python agent you can extend

nanobot, from the HKUDS group, is "an ultra-lightweight, open-source, self-hosted personal AI agent framework written in Python" (repository), MIT-licensed with about 49,000 stars. It offers a WebUI, a terminal client and chat apps including Telegram, Feishu, Slack, Discord, email and WeChat, and works with OpenAI-compatible APIs and local Ollama or vLLM servers.

Where it beats OpenClaw: a small core in a language most teams already read, so it is a good base to fork.

Where OpenClaw stays simpler: more is built in. nanobot is pre-1.0 (v0.3.5 when we checked).

Choose it if you work in Python and want an agent you can reshape.

6. PicoClaw: best for very small hardware

PicoClaw, from Sipeed, is a single Go binary for RISC-V, ARM, MIPS and x86, MIT-licensed with about 30,000 stars (repository). Its README reports core memory use under 10 MB (10 to 20 MB on recent builds), targets ten-dollar hardware, and lists 19 channels, among them Telegram, WhatsApp, WeChat, DingTalk, Feishu/Lark and WeCom, plus 30+ model providers including Google Gemini and local servers.

Where it beats OpenClaw: footprint. It runs on boards where OpenClaw would not fit.

Where OpenClaw stays simpler: maturity. The README says PicoClaw may have unresolved security issues and advises against production use before v1.0.

Choose it if you are building on a single-board computer and accept early-stage software.

7. Olano: best for a business that wants agents run for it (our product)

Disclosure: Olano is our product. It is a different kind of answer: not a lighter harness to run yourself, but a platform for persistent business agents, delivered as a managed deployment with an isolated environment per customer, or self-hosted from our public GitHub repository with Docker Compose.

Agents reach people on 15+ messaging channels, including Telegram, WhatsApp, Slack, Email, SMS and Signal. Approvals run on trust levels 0-4 with per-category rules, so outbound sends and payments can wait for a person. One agent can serve many people with memory isolated per sender, colleagues get their own logins, and credentials sit per agent in an encrypted vault. You create agents in the dashboard or by asking AgentFather in chat, with no command line to learn, starting from 180+ specialist agents and 19 starter teams. Olano Cloud plans run from US$25 to US$250 a month, 10% off yearly, with your own model keys (BYOK) on every plan.

Where it beats OpenClaw: on the managed plans nobody on your side is the operator, approvals and team access are product features rather than configuration, and each customer runs in its own environment (how isolation works).

Where OpenClaw stays simpler, and cheaper: for one technical person it is free software on a machine they already own. Olano is not a personal computer-use agent on your laptop, the managed plans cost money, and our community is far smaller than OpenClaw's.

Choose it if the agent answers customers or serves several colleagues and nobody wants to be on call. The wider category map is our alternatives guide.

When should you stay with OpenClaw?

Stay if it is your own assistant, it works, and you are happy to operate it. It still has the largest community, the broadest provider list we saw (including local Ollama, llama.cpp, LM Studio and vLLM servers, per its provider docs), native apps and a foundation behind it.

• Harden it before you replace it: keep direct-message pairing on, configure sandboxing for tools, read every skill before installing it, and use a strong model for any bot with tools.
• If uptime is the only problem, move it to a server or buy managed OpenClaw hosting. That fixes uptime, not who is on call; our self-hosted AI agents guide covers the rest.

What does each option cost to run?

Every open project here is free software; you pay for the machine, the model and your own hours. The model bill is similar whichever harness you pick, because it is the same work.

Your hours decide it for most businesses, and nobody quotes them; see what self-hosting an agent really costs.

What should you move before you switch?

Move what took longest to write: instructions, memory and skills. Credentials and channel pairings do not move.

• Persona, instructions and memory. OpenClaw keeps them in Markdown files such as SOUL.md and AGENTS.md, so any tool can take the text. Read the memory before copying it.
• Skills. A SKILL.md folder travels to any agent that reads the format, Hermes and Olano included; the tools it names and their credentials do not (are agent skills portable).
• Credentials and channels. Never copy a keys file: rotate each key and enter it fresh. Pair channels on the new tool, then switch the old gateway off so two agents never answer one chat.

Verdict

There is no single best OpenClaw alternative, because these projects fix different things. Leaving over security, NanoClaw is the closest like-for-like move and IronClaw the most locked down. Hermes Agent is the easiest migration, ZeroClaw has the safest defaults, nanobot is the one to fork and PicoClaw fits hardware nothing else does. If OpenClaw works and you are only worried, harden it first. And if the agent belongs to a business, the question becomes who runs it rather than which harness.

How Olano helps

For agents that now serve customers or colleagues, Olano Cloud gives you your own deployment with channels, approvals, a credential vault and the rest of the platform running from US$25 a month. SKILL.md skills copy across, MCP tools reconnect, and Olano Studio can rebuild workflows with you. Credentials, channel pairings and OpenClaw-only tools still have to be set up again.