Agent runtimeAI and agent development

eliza

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

Stars: 18,723
Forks: 5,580
Updated: Updated Jul 10, 2026

Agent runtimeAI and agent development

eliza

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

Stars: 18,723
Forks: 5,580
Updated: Updated Jul 10, 2026

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 developmentOpenClaw

swarmclaw

@swarmclawaiTypeScript

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

Project overview

SwarmClaw is a self-hosted runtime and dashboard for operating individual agents, swarms, and orchestrators. It provides durable memory, schedules and heartbeats, delegation, background jobs, MCP tools, and connections to many model APIs and coding-agent CLIs. It is aimed at long-running workflows that need observation and operator control, rather than an agent library embedded in another application.

Stars: 611
Forks: 130
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

eliza

eliza

Project overview

Repository facts

Related projects

skillpack

swarmclaw

OpenSail

SkVM