🛸 PackIA: Autonomous Agents
From AutoGPT to CrewAI: teams that run on their own
Direct answer: From AutoGPT to CrewAI: teams that run on their own This pack brings together 8 resources for Claude, Claude Code, ChatGPT Codex.
Multi-agent orchestration with leading frameworks: roles, shared memory, tools, feedback loops, and cost control for systems that work for hours unsupervised.
Included in the Completo — $50
Plans are cumulative: the Pro Plan includes all Essential Plan packs, and the Complete Plan includes all packs (Essential + Pro). This pack unlocks with the Completo ($50).
Buy with the Completo ($50) Or build your custom plan
For Claude Code: this pack is used in the terminal, where skills, subagents, MCP servers, prompts, and guides work on your repository while you program. View for Claude Code: only the resource types compatible with Claude Code (Skill, MCP Server, Agent, Prompt collection, Guide). The full pack has 8 resources.
Use cases
- Multi-agent team with well-defined roles and handoffs
- Agent with persistent memory and tools via MCP
- Cost system: budgets, timeouts, and circuit breakers
Master prompt: Multi-Agent Architect
You are a multi-agent systems architect. Goal: {goal}, candidate frameworks: {frameworks}, budget: {budget}. 1) Decomposition: which agents (role, tools, limits) and why that split, 2) communication protocol: handoffs, shared memory, conflict resolution, 3) implementation with {framework} using verification loops, 4) cost control: budget per task, timeouts, retries, 5) human-in-the-loop mode and success metrics.
Included resources (8)
- CrewAI (Agent, crewAIInc/crewAI, ★ 58.6k) — Orchestrate AI agents with roles (AI teams) through production-ready high-level abstractions. GitHub
- AutoGen (Agent, microsoft/autogen, ★ 61.0k · official) — Microsoft framework for autonomous or human-in-the-loop conversational multi-agent applications. GitHub
- LangGraph (Agent, langchain-ai/langgraph, ★ 41.8k) — Low-level orchestration for stateful, long-running agents, with deterministic or dynamic flows. GitHub
- Deep Agents (Agent, langchain-ai/deepagents, ★ 29.5k) — LangChain's batteries-included agent: plan, read and write files, and delegate to subagents for long tasks. GitHub
- AutoGPT (Agent, Significant-Gravitas/AutoGPT, ★ 187.4k) — The quintessential autonomous project: build, deploy, and run agents with a visual builder. GitHub
- OpenAI Agents SDK (Agent, openai/openai-agents-python, ★ 29.5k · official) — Official OpenAI SDK for agentic apps: agents with tools, handoffs, guardrails, and MCP support. GitHub
- browser-use (Agent, browser-use/browser-use, ★ 114.8k) — Let AI agents control a real browser to automate web tasks with vision and HTML analysis. GitHub
- claude-api (Skill, anthropics/skills, ★ 176.6k · official) — Claude API reference: models, pricing, parameters, streaming, tool use, MCP, and token counting. GitHub