zeroclaw

able capabilities - Examples can be from physical ones like separate Mac Minis to docker-agent, agent-sandbox, localsandbox, ... This then takes us to *Agents*: ## Agents - AI Systems capable of exercising some agency, i.e. non-zero amounts of autonomous behaviour without a human-in-the-loop. - These usually combine the following components: - **LLM**: to provide the intelligence/reasoning/decision making - **Harness**: to steer the behaviour and enable long-term coherence of actions beyond the limits of current context windows - **Gateway**: to interact with humans and/or other agents - **Sandbox**: that aims to limit the capabilities of the Agent to a sanctioned set of safe operations for the agent to execute autonomously. My issue is that when I look at the available options, it's generally not clear to me which components I am getting: - https://github.com/openclaw/openclaw: Typescript, The OG, one-stop solution, easiest to install but apparently a bit of a Frankenmonster and complex - https://github.com/qwibitai/nanoclaw: Typescript, gaining popularity, minimalist, implementation seems reliant on Claude Code to handle install and configuration - https://github.com/sipeed/picoclaw: Golang - https://github.com/zeroclaw-labs/zeroclaw: Rust - https://github.com/nullclaw/nullclaw: Zig - https://nemoclaw.bot/: By Nvidia, claims to be open source "based", but I couldn't find a repo What I would really like is to be able to assemble my own stack of Sandbox + Gateway + Harness + LLM. Thoughts/recommendations?