by langchain-ai · Agent Tool · ★ 1.5k
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The batteries-included agent harness. Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are "shallow" and fail
| Stars | 1,468 |
| Forks | 253 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.8658283057196/100 |
| Open Issues | 67 |
| Last Updated | 2026-08-06 |
| Created | 2025-08-04 |
| Platforms | node |
| Est. Tokens | ~453k |
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deepagentsjs is Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.. It is categorized as a Agent Tool with 1.5k GitHub stars.
deepagentsjs is primarily written in TypeScript. It covers topics such as ai, deepagents, langchain.
You can find installation instructions and usage details in the deepagentsjs GitHub repository at github.com/langchain-ai/deepagentsjs. The project has 1.5k stars and 253 forks, indicating an active community.
deepagentsjs is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to deepagentsjs on Agent Skills Hub include openagent, ai-agents-from-zero, awesome-LangGraph. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.