CrewAI vs DeepAgents

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionCrewAIDeepAgents
Pricingfreemium · from Basic $0/mofree · from Open Source $0/mo
Best forEnterprise teams that need Discovery to find automation opportunities in tickets and chats, Regulated organizations requiring RBAC, immutable audit trails, and PII redactionDevelopers who want a production-ready harness with sub-agents, filesystem, and human oversight without assembling each piece, Teams building long-horizon, multi-step agent workflows where one context window can't hold the working state
Standout featuresNo-code visual editor with AI copilot, exportable to Python · Code-first Python API for custom orchestration · Role-based agents that separate and simplify orchestrationSub-agents that delegate tasks with isolated context windows · Pluggable filesystem for read, write, edit, and search across local, sandboxed, or remote backends · Context management: summarize long threads and offload tool outputs to disk
Viability score87/10076/100
APIYesYes

CrewAI is the stronger pick for enterprise teams that need discovery to find automation opportunities in tickets and chats; DeepAgents fits better for developers who want a production-ready harness with sub-agents, filesystem, and human oversight without assembling each piece.

Built from live tool data, last verified 2026-09-29.

CrewAI
CrewAI

CrewAI is an enterprise platform for building, governing, and optimizing multi-agent AI workflows, with a no-code visual editor and a code-first Python API.

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DeepAgents
DeepAgents

Deep Agents is an open-source agent harness with sub-agents, filesystem, shell access, and human-in-the-loop control.

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Pricing
Freemium
Free
Plans
$0/mo
Custom
$0/mo
Popularity
4.2k views
6.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPICLI
APICLI
Categories
🕸️ Agent Frameworks & Orchestration🛡️ AI Governance & Guardrails
🕸️ Agent Frameworks & Orchestration
Features
No-code visual editor with AI copilot, exportable to Python
Code-first Python API for custom orchestration
Role-based agents that separate and simplify orchestration
Deterministic agent workflow construction
CrewAI Discovery ranks automation opportunities from tickets, chats, apps, and workflows
Interactive suggestions refine recommended automations
Agent automations exportable as shareable presentation decks
Crew Studio automated multi-agent builder guided by 700k workflow patterns
Real-time tracing of every LLM call, tool call, and memory read with full cost accounting
RBAC, immutable audit trails, and Enterprise IAM
Human-in-the-loop approval gates and intervention during execution
Runtime hooks for PII redaction and policy checks at every LLM and tool call
Automated and human-guided agent training from production runs
Multi-LLM testing for model swapping at runtime
Evaluation tracking powered by Arize, Galileo, DataDog, and Patronus
Sub-agents that delegate tasks with isolated context windows
Pluggable filesystem for read, write, edit, and search across local, sandboxed, or remote backends
Context management: summarize long threads and offload tool outputs to disk
Shell access for running commands in your sandbox of choice
Human-in-the-loop: approve, edit, or reject tool calls before execution
Persistent memory via pluggable state and store backends for cross-session recall
Skills: reusable agent behaviors loaded on demand
Bring your own tools or connect any MCP server
Model-agnostic: works with any LLM that supports tool calling
Self-hosted models supported via Ollama, vLLM, or llama.cpp
Open-weight model hosting via Baseten or Fireworks
Built on LangGraph with streaming, persistence, and checkpointing
Tracing, evaluation, and deployment through LangSmith
Deep Agents Code: pre-built terminal coding agent, curl install
Python library installable with uv add deepagents; JavaScript/TypeScript via deepagents.js
Integrations
GitHub
Slack
Microsoft Teams
MS Entra
Okta
Arize
Galileo
DataDog
Patronus
OpenTelemetry
LangGraph
LangSmith
OpenAI
Anthropic
Google
Ollama
vLLM
llama.cpp
Baseten
Fireworks
MCP servers

Frequently Asked Questions

Which is better, CrewAI or DeepAgents?

The best choice between CrewAI and DeepAgents depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between CrewAI and DeepAgents?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of CrewAI or DeepAgents?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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If you need a self-hosted, flexible agent harness with sub-agents and human oversight, DeepAgents is the clear winner—it's free, model-agnostic, and production-ready. If you're a professional who need

Explore each tool further

CrewAI
View CrewAI reviewCrewAI alternatives
DeepAgents
View DeepAgents reviewDeepAgents alternatives

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Last reviewed: May 12, 2026