πΈ 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 β $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
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, β 58.6k) β Orchestrate AI agents with roles (AI teams) through production-ready high-level abstractions. GitHub
- AutoGen (Agent, microsoft/autogen, β 61.0k Β· official) β Microsoft framework for autonomous or human-in-the-loop conversational multi-agent applications. GitHub
- LangGraph (Agent, langchain-ai/langgraph, β 41.8k) β Low-level orchestration for stateful, long-running agents, with deterministic or dynamic flows. GitHub
- Deep Agents (Agent, langchain-ai/deepagents, β 29.5k) β LangChain's batteries-included agent: plan, read and write files, and delegate to subagents for long tasks. GitHub
- AutoGPT (Agent, Significant-Gravitas/AutoGPT, β 187.4k) β The quintessential autonomous project: build, deploy, and run agents with a visual builder. GitHub
- OpenAI Agents SDK (Agent, openai/openai-agents-python, β 29.5k Β· official) β Official OpenAI SDK for agentic apps: agents with tools, handoffs, guardrails, and MCP support. GitHub
- browser-use (Agent, browser-use/browser-use, β 114.8k) β Let AI agents control a real browser to automate web tasks with vision and HTML analysis. GitHub
- claude-api (Skill, anthropics/skills, β 176.6k Β· official) β Claude API reference: models, pricing, parameters, streaming, tool use, MCP, and token counting. GitHub
Versions by tool
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Frequently asked questions
What is the Autonomous Agents pack?
From AutoGPT to CrewAI: teams that run on their own Includes 8 resources.
Who is it for?
For professionals and teams working in Autonomous Agents who want proven resources for their AI assistant.
What does it include and how much does it cost?
Includes 8 resources (Agent (7), Skill (1)) and unlocks with the Complete Plan ($50). Plans are cumulative.