swarmclaw

elizaOS combines a personal-assistant app with an agent runtime that can operate on desktop, mobile, web, a Linux desktop, or as an Android system assistant. It supports chat, voice, messaging, browser automation, on-device models, and persistent plugin-based apps while keeping the agent, data, and models local. Its optional cloud service adds hosted inference, cross-device sync, deployment, and metering rather than being required for local use.

Use SkillPack to combine skills from GitHub, URLs, or local folders with prompts, policies, personas, and optional scheduled jobs. It produces a lightweight archive that teammates can unpack and launch into a local browser interface, with optional Slack or Telegram access. The runtime keeps team data on the host machine but requires Node.js 22.19.0 or newer and an LLM API key.

OpenSail lets teams build reusable agents, applications, and automations inside workspaces connected to systems such as Slack, email, issue trackers, repositories, internal APIs, and MCP servers. Jobs can start from schedules, buttons, webhooks, messages, or app events, with approvals, budgets, permissions, logs, and run history added as needed. Its desktop and web interfaces can run projects through local processes, Docker Compose, or Kubernetes for teams that want control over both agent behavior and deployment.

SkVM profiles a model-and-agent-runtime combination, compiles a skill against those capabilities, and then evaluates and improves it through precompilation and runtime-optimization workflows. It is aimed at teams that need the same skill to behave across heterogeneous agents rather than tuning prompts by hand for each runtime. Provider configuration is required, and the bundled benchmark suite lives in a separate data submodule.