Agent runtimeAI and agent development

swarmclaw

Run self-hosted agents and long-lived multi-agent workflows.

Stars: 611
Forks: 130
Updated: Updated Jul 13, 2026

Agent runtimeAI and agent development

swarmclaw

Run self-hosted agents and long-lived multi-agent workflows.

Stars: 611
Forks: 130
Updated: Updated Jul 13, 2026

Agent runtimeAI and agent development

eliza

@elizaOSTypeScript

Run an extensible personal agent and persistent apps on your own devices.

Project overview

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.

Stars: 18,723
Forks: 5,580
License: MIT

Agent runtimeAI and agent development

skillpack

@CreminiAITypeScript

Package AI skills into local agents your team can use from chat.

Stars: 943
Forks: 88
License: MIT

Agent runtimeAI and agent development

OpenSail

@TesslateAIPython

Build and govern agent workflows that connect to real business systems.

Project overview

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.

Stars: 596
Forks: 101
License: Apache-2.0

Agent runtimeAI and agent developmentLinux

SkVM

@SJTU-IPADSTypeScript

Compile, benchmark, and optimize agent skills across different models and runtimes.

Project overview

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.

Stars: 531
Forks: 52
License: MIT

swarmclaw

swarmclaw

Project overview

Repository facts

Related projects

eliza

skillpack

OpenSail

SkVM