AgentsKit vs deepagents
JavaScript and Python agent-building projects compared
agentskit is a modular TypeScript toolkit for composing model adapters, runtimes, tools, memory, retrieval, and interfaces. deepagents is a Python harness with planning, delegation, file operations, and context management built in, on LangGraph.
AgentsKit: Build Modular AI Agents in JavaScript
AgentsKit is a TypeScript toolkit for building AI agents in JavaScript, from chat interfaces to autonomous runtimes. Its small core and shared contracts connect provider adapters, tools, memory, retrieval, and UI packages.
deepagents: Build Agents with Planning and Tooling Built In
Deep Agents is a Python agent harness for building LLM agents with planning, delegation, file access, and context management built in. It suits developers who need a more capable starting point than a minimal agent loop, while retaining control over models and tools.
| AgentsKit | deepagents | |
|---|---|---|
| Language | TypeScript | Python |
| License | MIT | MIT |
| Stars | 36 | 29.9k |
| Forks | 3 | 4.2k |
| Last analyzed | Oct 20, 2026 | Oct 3, 2026 |
Key differences
- agentskit offers separate packages with shared contracts; deepagents bundles an opinionated starting structure for multi-step agents.
- agentskit is written in TypeScript for JavaScript runtimes; deepagents is written in Python and built on LangGraph.
- agentskit supports a range of model providers through adapters; deepagents requires a tool-calling model and leaves provider setup to developers.
- agentskit includes React and terminal interfaces, plus bindings for other UI frameworks; deepagents focuses on agent capabilities such as planning, file tools, and sub-agent delegation.
- agentskit identifies its core package as stable and the rest of its ecosystem as beta; deepagents describes production deployment on LangGraph and pairs tracing, evaluation, and monitoring with LangSmith.
- Both projects use the MIT license and are not archived.
Choose AgentsKit if you…
- need a modular JavaScript or TypeScript agent stack with substitutable provider and component choices.
- want React or terminal interfaces alongside headless agent runtime options.
- need packages for retrieval, memory, or multiple UI framework bindings.
Choose deepagents if you…
- want planning, file operations, delegation, and context management built into a Python agent harness.
- need sub-agents with isolated context or persistent state across sessions.
- want human approval steps for tool calls or file and shell tools with pluggable backends and sandboxing.
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.