No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by langchain-ai · Agent Tool · ★ 29.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is deepagents safe to install? View the security audit →
The batteries-included agent harness. Deep Agents is an agent harness. An opinionated, ready-to-run agent out of the box. Instead of wiring up prompts, tools, and context management yourself, you get a working agent immediately and customize what you need. What's included: Planning — for task breakdown and progress tracking Filesys
| Stars | 29,594 |
| Forks | 4,159 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.0522975889757/100 |
| Open Issues | 200 |
| Last Updated | 2026-09-20 |
| Created | 2025-07-27 |
| Platforms | python |
| Est. Tokens | ~7479k |
Looking for a deepagents alternative? If you're comparing deepagents with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answer
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Do
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的
An autonomous agent that conducts deep research on any data using any LLM providers
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cr
Build effective agents using Model Context Protocol and simple workflow patterns
Explore other popular agent tool tools:
deepagents is Python & TypeScript 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 . It is categorized as a Agent Tool with 29.6k GitHub stars.
deepagents is primarily written in Python. It covers topics such as ai, deepagents, langchain.
You can find installation instructions and usage details in the deepagents GitHub repository at github.com/langchain-ai/deepagents. The project has 29.6k stars and 4159 forks, indicating an active community.
deepagents is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to deepagents on Agent Skills Hub include headroom, Scrapling, TrendRadar. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: