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Agent platforms · Platform

CrewAI

Researched

Framework and management platform for building collaborative AI agents, role-based crews and event-driven production flows.

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Official site snapshots

See the official site at a glance

Read-only public captures of CrewAI’s homepage. Screenshots are dated, never live embeds, and open full-screen.

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Homepage · captured Jul 21, 2026
1 earlier capture
At a glance

In one minute

Start here for the decision-making essentials: what CrewAI does, who it is for, how it is accessed, and the first-party sources behind this profile.

PricingCurrent signal

Open source + commercial platform

Platforms
PythonCloudSelf-hosted
API accessAvailable
Founded2023
AvailabilityWeb / remote
LicenseOpen source

Best suited to

Source-backed fit
Python developers Automation teams Agent builders
Decision support

Common questions and adoption checks

5 sourced answers

Short answers to the questions buyers and builders commonly ask about CrewAI. Each answer cites the shared ledger below, where every source is listed once.

01What does CrewAI help with?

Multi-agent workflows · Research crews · Business process automation · Multi-agent orchestration

Ledger citation[2] crewai.com
02Who is CrewAI intended for?

Python developers · Automation teams · Agent builders

Ledger citation[2] crewai.com
03What pricing information is available for CrewAI?

Open source + commercial platform

Ledger citation[2] crewai.com
04Does CrewAI document API access?

API access is documented by the provider.

Ledger citation[2] crewai.com
05What should teams verify before adopting CrewAI?

Multi-agent designs can add latency, token cost and debugging complexity. · Production observability and governance require deliberate configuration. · Tool permissions and inter-agent handoffs need testing.

Ledger citation[2] crewai.com
Decision guide

Capabilities and operating fit

Agent platforms

This profile connects the jobs CrewAI is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • Multi-agent workflows
  • Research crews
  • Business process automation

Access signals

Pricing model
Freemium
API
Publicly available
Source links
4 recorded
Source-backed

Verified facts

Updated July 20, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Open-source framework

Available

SourceRecorded source
Agent crews

Supported

SourceRecorded source
Flows

Supported

SourceRecorded source
Production management

CrewAI AMP

SourceRecorded source
Practical capabilities

What it helps with

6 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Multi-agent workflows

Use case

Research crews

Use case

Business process automation

Focus area

Multi-agent orchestration

Focus area

Workflow design

Focus area

Deployment and monitoring

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

FreemiumOpen source + commercial platformOpen-source framework with separate commercial platform terms

Platforms

PythonCloudSelf-hosted
Implementation details

Adoption notes

DeploymentPython framework locally; commercial management platform for production
LicenseOpen-source framework with separate commercial platform terms
Model supportMultiple LLM providers through framework integrations
Data controlDepends on deployment and the selected model, tool and storage providers
Learning curveAdvanced
Primary use casesMulti-agent workflows, Research crews, Business process automation

What to verify before adopting

  • Multi-agent designs can add latency, token cost and debugging complexity.
  • Production observability and governance require deliberate configuration.
  • Tool permissions and inter-agent handoffs need testing.
Evolution and major updates

CrewAI timeline

A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

41 dated updates
Latest first · exact dates

Showing the newest updates and meaningful milestones. Open an entry for its summary and source.

  1. Release note

    1.15.6 released

    Open details

    Fix detection of Anthropic preview tool-use blocks. · Preserve strict tool schema property names. · Dispatch executionend hook on failed crew and flow executions.

    View source [1]
  2. Release note

    1.15.5 released

    Open details

    Authenticate skill registry downloads · Update snapshot and changelog for v1.15.4

    View source [1]
  3. Release note

    1.15.4 released

    Open details

    Promote Skills Repository out of experimental status · Add Flows in Studio documentation · @jessemiller, @joaomdmoura, @vinibrsl

    View source [1]
  4. Release note

    1.15.3 released

    Open details

    Add organization ID parameter to PlusAPI client · Add step interception points and rework execution hooks documentation around @on · Wire execution-boundary interception points

    View source [1]
  5. Release note

    1.15.2 released

    Open details

    Pull latest LLM models dynamically in the crew wizard. · Support inline skill definitions. · Add generated Flow Definition authoring skill.

    View source [1]
  6. Release note

    1.15.0 released

    Open details

    Track conversational flow turn usage in telemetry Support conversational flows in the CLI TUI

    View source [1]
  7. Release note

    1.14.0 released

    Open details

    Add checkpoint list/info CLI commands Add guardrailtype and name to distinguish traces

    View source [1]
  8. Release note

    1.13.0 released

    Open details

    Add RuntimeState RootModel for unified state serialization Enhance event listener with new telemetry spans for skill and memory events

    View source [1]
View 33 more dated releasesFull source-backed history
  1. Release note

    1.15.1 released

    Open details

    Initialize Git repositories for generated projects (6364) · Require explicit CrewAI project definitions (6358) · Open deployment page after CLI deploy (6343)

    View source [1]
  2. Release note

    1.14.7 released

    Open details

    Add pluggable default backends for memory, knowledge, rag, and flow. · Surface real finishreason, sampling params, and response.id on LLM events. · Type DSL triggers as route-aware decorators.

    View source [1]
  3. Release note

    1.14.6 released

    Open details

    Enhance StdioTransport to prevent environment variable leakage · Enhance planning configuration and observation handling · Declare envvars on DatabricksQueryTool

    View source [1]
  4. Release note

    1.14.5 released

    Open details

    Deprecate CrewAgentExecutor, default Crew agents to AgentExecutor · Improve Daytona sandbox tools · Add restorefromstateid kickoff parameter

    View source [1]
  5. Release note

    1.14.4 released

    Open details

    Add support for custom persistence key in @persist · Add Responses API support for Azure OpenAI provider · Forward credentialscopes to Azure AI Inference client

    View source [1]
  6. Release note

    1.14.3 released

    Open details

    Add lifecycle events for checkpoint operations · Add support for e2b · Fall back to DefaultAzureCredential when no API key is provided in Azure integration

    View source [1]
  7. Release note

    1.14.2 released

    Open details

    Add checkpoint resume, diff, and prune commands with improved discoverability. · Add fromcheckpoint parameter to Agent.kickoff and related methods. · Add template management commands for project templates.

    View source [1]
  8. Release note

    1.14.1 released

    Open details

    Add async checkpoint TUI browser · Add aclose()/close() and async context manager to streaming outputs · Fix regex for template pyproject.toml version bumps

    View source [1]
  9. Release note

    1.12.2 released

    Open details

    Add enterprise release phase to devtools release · Preserve method return value as flow output for @humanfeedback with emit · Update changelog and version for v1.12.1

    View source [1]
  10. Release note

    1.12.1 released

    Open details

    Add requestid to HumanFeedbackRequestedEvent · Add Qdrant Edge storage backend for memory system · Add docs-check command to analyze changes and generate docs with translations

    View source [1]
  11. Release note

    1.12.0 released

    Open details

    Add Qdrant Edge storage backend for memory system Add docs-check command to analyze changes and generate docs with translations

    View source [1]
  12. Release note

    1.11.1 released

    Open details

    Add flowstructure() serializer for Flow class introspection. · Fix security vulnerabilities by bumping pypdf, tinytag, and langchain-core. · Preserve full LLM config across HITL resume for non-OpenAI providers.

    View source [1]
  13. Release note

    1.11.0 released

    Open details

    Update changelog and version for v1.11.0rc2

    View source [1]
  14. Release note

    1.10.1 released

    Open details

    Upgrade Gemini GenAI · Adjust executor listener value to avoid recursion · Group parallel function response parts in a single Content object in Gemini

    View source [1]
  15. Release note

    1.10.0 released

    Open details

    Enhance MCP tool resolution and related events Update lancedb version and add lance-namespace packages

    View source [1]
  16. Release note

    1.9.3 released

    Open details

    feat: add a2a liteagent, auth, transport negotiation, and file support · fix: improve output handling and response model integration in agents

    View source [1]
  17. Release note

    1.9.2 released

    Open details

    fix: ensure verbosity flag is applied b · fix: use responsejsonschema · fix: tool response pt2

    View source [1]
  18. Release note

    1.9.1 released

    Open details

    Implement before and after tool call hooks in CrewAgentExecutor · Add structured outputs and responseformat support across providers · Correct tool-calling content handling and schema serialization

    View source [1]
  19. Release note

    1.9.0 released

    Open details

    Add structured outputs and responseformat support across providers Add responseid in streaming response

    View source [1]
  20. Release note

    1.8.1 released

    Open details

    Add A2A task execution utilities · Add A2A server configuration and agent card generation · Add additional A2A transports

    View source [1]
  21. Release note

    1.8.0 released

    Open details

    Add native async chain for a2a Add a2a update mechanisms (poll/stream/push) with handlers and config

    View source [1]
  22. Release note

    1.7.2 released

    Open details

    Resolve connection issues (4129) · Update api-reference/status docs page · @greysonlalonde, @heitorado, @lorenzejay, @lucasgomide

    View source [1]
  23. Release note

    1.7.1 released

    Open details

    Add --no-commit flag to bump command · Use JSON schema for tool argument serialization · Fix error message display from response when tool repository login fails

    View source [1]
  24. Release note

    1.7.0 released

    Open details

    Add async flow kickoff Add async crew support

    View source [1]
  25. Release note

    1.6.1 released

    Open details

    Fix ChatCompletionsClient call to ensure proper functionality (3910) · Ensure async methods are executable for annotations · Fix parameters in RagTool.add, add typing, and tests (3979)

    View source [1]
  26. Release note

    1.6.0 released

    Open details

    Add streaming result support to flows and crews Add gemini-3-pro-preview

    View source [1]
  27. Release note

    0.203.2 released

    Open details

    chore: update hotfix crewAI version 0.203.1 - 0.203.2 by @lorenzejay in https://github.com/crewAIInc/crewAI/pull/3963

    View source [1]
  28. Release note

    1.5.0 released

    Open details

    Add a2a trust remote completion status flag Fetch and store more data about Okta authorization server

    View source [1]
  29. Release note

    1.4.1 released

    Open details

    Fix handling of agent max iterations · Resolve routing issues for LLM model syntax to respected providers

    View source [1]
  30. Release note

    1.4.0 released

    Open details

    Add support for non-AST plot routes Implement first-class support for MCP

    View source [1]
  31. Release note

    1.3.0 released

    Open details

    Refactor flow handling, typing, and logging Enhance QdrantVectorSearchTool

    View source [1]
  32. Release note

    1.2.1 released

    Open details

    Add support for Datadog integration. · Support apps and mcps in liteagent. · Describe mandatory environment variable for calling Platform tools for each integration.

    View source [1]
  33. Release note

    1.2.0 released

    Open details

    Update default LLM model and improve error logging in LLM utilities Change flow visualization directory and method inspection

    View source [1]
Citation ledger

Recorded sources

5 unique pages

Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

  1. 1github.com/crewAIInc/crewAI/releases 41 release milestones
  2. 2crewai.com 5 answers · Official site
  3. 3crewai.com/open-source Source code
  4. 4docs.crewai.com Documentation
  5. 5github.com/crewAIInc/crewAI Source code
Research status4 substantive facts · 4 source pages · quality score 82/100
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