🤖
AI EngineeringPython

AutoGPT Agents

by davila7

AutoGPT Agents is an AI Engineering skill for Claude Code, published by davila7 in claude-code-templates.

30.2K stars3.4K forkson davila7/claude-code-templatesAdded 2026/08/14Repository updated 2026/08/14
View source on GitHubDownload repo ZIP
anthropicanthropic-claudeclaudeclaude-code
Install in seconds
Install AutoGPT Agents
Copy AutoGPT Agents into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agents-autogpt ~/.claude/skills/agents-autogpt

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/davila7/claude-code-templates.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
cli-tool/components/skills/ai-research/agents-autogpt/SKILL.md in davila7/claude-code-templates
Installs to
~/.claude/skills/agents-autogpt
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering — 2451 skills

What AutoGPT Agents does

AutoGPT Agents provides a platform for building, deploying, and managing continuous autonomous AI agents through a visual workflow builder or development toolkit. Use it when creating visual workflow agents, deploying persistent agents with webhooks or schedules, or building complex multi-step AI automation systems.

AutoGPT Agents is cataloged under AI Engineering on DirSkills. AutoGPT Agents comes from a repository tagged anthropic, anthropic-claude, claude and claude-code.

Documentation

README

AutoGPT - Autonomous AI Agent Platform

Comprehensive platform for building, deploying, and managing continuous AI agents through a visual interface or development toolkit.

When to use AutoGPT

Use AutoGPT when:

  • Building autonomous agents that run continuously
  • Creating visual workflow-based AI agents
  • Deploying agents with external triggers (webhooks, schedules)
  • Building complex multi-step automation pipelines
  • Need a no-code/low-code agent builder

This is the opening of the README. Read the full README on GitHub.

Frequently asked about AutoGPT Agents

  • What else does davila7 publish alongside AutoGPT Agents?

    AutoGPT Agents is one of 25 skills that DirSkills catalogs from davila7/claude-code-templates, the repository it ships in. Its siblings there include AI Agents Architect, Agent Evaluation and Agent Management. Each one is a separate skill with its own page in this directory, installs the same way AutoGPT Agents does, and is maintained by davila7 in that same repository. The rest of the collection is listed on the davila7/claude-code-templates page.

  • How does AutoGPT Agents compare to other AI Engineering skills?

    AutoGPT Agents ranks #200 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AutoGPT Agents against them. Open each page to compare what they document and how they install.

More from davila7/claude-code-templates

AutoGPT Agents is one of 25 skills cataloged on DirSkills from davila7/claude-code-templates.

See all 25 skills →
🤖
2w ago

AI Agents Architect

AI Agents Architect designs and builds autonomous AI agents, covering tool use, memory systems, planning strategies, and multi-agent orchestration. Use it when building or debugging AI agents that need function calling, planning loops, and controlled autonomy.
AI Engineering
30.2K3.4K
🧪
2w ago

Agent Evaluation

Agent Evaluation tests and benchmarks LLM agents using behavioral contracts, capability assessments, reliability metrics, and adversarial testing to catch issues before production. Use it when evaluating agent reliability, designing benchmarks, or monitoring production agents.
Quality
30.2K3.4K
🤖
2w ago

Agent Management

Agent Management creates, manages, and orchestrates AI agents through the AI Maestro CLI, covering agent lifecycle tasks such as create, hibernate, wake, rename, export/import, and plugin management.
AI Engineering
30.2K3.4K
🤖
2w ago

Agent Manager

Agent Manager starts, stops, monitors, and assigns tasks to multiple local CLI agents running in tmux sessions, with cron-friendly scheduling. Use it when you need to run agents in parallel and tail their logs.
Automation
30.2K3.4K
🧠
2w ago

Agent Memory MCP

Agent Memory MCP provides a persistent, searchable memory bank for AI agents, exposing MCP tools to search, write, read, and analyze project knowledge. Use it when an agent needs long-term memory synced with project documentation.
AI Engineering
30.2K3.4K
🧠
2w ago

Agent Memory Systems

Agent Memory Systems describes architectures for short-term, long-term, and working memory in AI agents, including vector store selection, chunking strategies, and retrieval patterns. Use it when designing or debugging agent memory to prevent retrieval failures that look like intelligence failures.
AI Engineering
30.2K3.4K

More AI Engineering skills

AutoGPT Agents is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #200 by stars among them.

Browse all AI Engineering skills →
📐
3w ago

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.
AI Engineering
239.8K36.4K
🤖
3w ago

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.
AI Engineering
239.8K36.4K
🤖
3w ago

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.
AI Engineering
239.8K36.4K