AgentsKit vs agent-native

TypeScript agent frameworks compared

AgentsKit and agent-native are TypeScript projects for building applications with AI agents. AgentsKit centers on modular packages for agents, providers, tools, memory, retrieval, and interfaces, while agent-native focuses on sharing actions and application data between agents and people.

AgentsKitagent-native
LanguageTypeScriptTypeScript
LicenseMITMIT
Stars367.5k
Forks3688
Last analyzedOct 20, 2026Oct 25, 2026

Key differences

  • AgentsKit offers a modular toolkit that can start with a lightweight core and add optional capabilities; agent-native is organized around shared actions that both agents and application code can use.
  • AgentsKit supports several UI frameworks, including React, Vue, Svelte, Solid, Angular, React Native, and terminal interfaces; agent-native focuses on an application UI that shares data and state with agents.
  • AgentsKit lists adapters for multiple providers, including OpenAI, Anthropic, Gemini, Ollama, DeepSeek, and Grok; agent-native does not specify a single required model provider.
  • AgentsKit identifies its license as MIT; agent-native's README states that it is MIT licensed.
  • AgentsKit marks its core package stable and other listed packages beta, and specifies Node.js 20 or later; agent-native describes PostgreSQL for production and PGlite for local development.
  • AgentsKit reports 36 stars and 3 forks; agent-native reports 7k stars and 637 forks.

Choose AgentsKit if you…

  • need a modular JavaScript agent toolkit that can grow from a small core into a broader stack.
  • want provider adapters, retrieval, memory, or autonomous execution alongside multiple UI options.
  • are building a terminal-based agent or want to expose tools through MCP-compatible clients.
Read the AgentsKit analysis →

Choose agent-native if you…

  • need agents and application code to use the same actions and work with shared data.
  • want people to inspect, edit, or approve agent work through an interactive application UI.
  • are building workflows that combine chat, permissions, persistent data, and scheduled or event-based automation.
Read the agent-native analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.