Agentic Index
AutoGPT vs CrewAI (2026)
AutoGPT and CrewAI are both well known open source agent projects, now at different maturity points: AutoGPT, the original autonomous agent phenomenon, is free to self host with your own model keys, with a hosted cloud offering Pro, Max, and Team subscriptions plus a pay as you go credit wallet and deliberately no free cloud tier, while CrewAI is widely used for production multi agent orchestration, MIT licensed and free, with a hosted platform from a free Basic plan of fifty executions to custom enterprise pricing. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
For shipping multi agent systems in 2026, CrewAI is the safer bet; AutoGPT remains the tinkerer's platform with a workflow oriented cloud.
On the Agentic Index self hosted platform ranking, AutoGPT and CrewAI both clear the bar: each documents both containment capabilities in full. 171 of the 554 platforms it grades clear it. See the self hosted platform ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. AutoGPT and CrewAI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose AutoGPT if
- Visual workflow style agent building on the hosted platform appeals.
- Self hosting the original autonomous agent stack fits your experiments.
- Credit wallet economics match your intermittent usage.
Choose CrewAI if
- Production multi agent orchestration with enterprise adoption is the goal.
- Role and task crew structure maps to your architecture.
- A hosted path from a free Basic plan to enterprise terms fits your growth.
| Feature | A AutoGPT |
C CrewAI |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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AutoGPTIntegrations & Tool Calling Block categories span an MCP tools block, a Claude Code block, an E2B sandbox block, image, video and music generation via Ideogram, Flux, VEO3, Fal, Replicate and MusicGen, a generic HTTP Request block with multipart upload, host-scoped authentication and safe-redirect protection, a read-only SQL Query block, Reddit blocks via PRAW, and Pinecone and Mem0 blocks. Automations import from n8n, Make.com and Zapier. A Block Development SDK lets customers build, register and ship custom blocks using a provider pattern, with auto-generated block documentation surfaced in builder search. A Run Agent block executes another agent as a sub-agent, and library operation blocks add agents from the store programmatically. Through the MCP tools block, the platform calls out to other systems. Sourceagpt.co pricing page, docs.agpt.co and agpt.co block documentationread 2026-08-31 |
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CrewAIIntegrations & Tool Calling The framework ships a large tool library and custom tools and connects to MCP servers as tools, and CrewAI AMP adds authenticated enterprise integrations such as Salesforce, HubSpot, Slack, Gmail, Microsoft 365, Jira, Notion, Stripe and Zendesk. Sourcedocs-platform.crewai.com/platform/en/features/tools-and-integrationsread 2026-09-27 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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AutoGPTWorkflow Orchestration A Run Agent block runs another agent as a sub-agent within a workflow, taking the agent's graph ID, version and input data and returning its outputs, with input and output schemas defining the data passed between parent and child, for modular workflows, specialized agents called from a main orchestration agent, and dynamic routing by input type. The visual builder composes blocks with branching, looping and routing logic, and AI reasoning blocks include an AI Condition block that lets a model decide a branch. Agents run continuously and on schedules, with execution, scheduling and notification managers in the backend. How failed sub-agents are retried, and whether branches run in parallel, is not described. Sourceagpt.co and docs.agpt.co block documentation, agpt.co home and pricing pagesread 2026-08-31 |
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CrewAIWorkflow Orchestration Flows are event driven workflows with managed state and deterministic control, and Crews are teams of role based agents that delegate to one another; a Flow step can hand off to a Crew, processes run sequential or hierarchical with a manager agent, tasks can be conditional, and checkpointing lets runs be replayed or forked. Sourcedocs.crewai.com/en/concepts/flowsread 2026-09-27 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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AutoGPTTriggers & Channel Coverage Webhook blocks give an inbound event route, scheduling blocks give recurrence with a dedicated scheduling manager in the backend, and a public REST API exposes agent execution programmatically. Agents run continuously and trigger from external sources, with execution, scheduling and notification managers and websockets for real-time communication in the backend. A sub-agent block allows one agent to start another. No chat, email, Slack or messaging channel through which a person addresses an agent is offered beyond the platform's own interface. Sourceagpt.co misc block documentation, agpt.co home and pricing pages, docs.agpt.co platform documentationread 2026-08-31 |
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CrewAITriggers & Channel Coverage Events in Gmail, Google Calendar and Drive, Outlook, OneDrive, Microsoft Teams, Slack, HubSpot, Salesforce and Zapier can launch the chosen crew or flow through CrewAI AMP triggers, and webhook automation starts runs from outside systems. Sourcedocs-platform.crewai.com/platform/en/guides/automation-triggersread 2026-09-27 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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AutoGPTKnowledge Grounding & RAG A Vector and Memory block category covers Pinecone vector storage and Mem0 long-term memory, connecting agents to a vector index the customer keeps and queries. Data transformation blocks include a spreadsheet reader, XML parser, text encoding and replacement and list and dictionary manipulation, an HTTP Request block supports multipart upload for document retrieval, and a read-only SQL Query block reaches the customer's own platform data. Mem0 blocks separately support knowledge building by accumulating facts over time. AI reasoning blocks include a Fact Checker. The customer supplies the Pinecone index, since AutoGPT bundles no knowledge base of its own, and no chunking strategy, embedding model, retrieval configuration or citation behavior is described. Sourceagpt.co pricing page, docs.agpt.co platform blocks documentationread 2026-08-31 |
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CrewAIKnowledge Grounding & RAG Knowledge sources give agents a reference library of the customer's files and data, embedded into a vector store (ChromaDB by default, Qdrant supported) through a provider neutral RAG client and queried during tasks; new sources are added without retraining. Sourcedocs.crewai.com/en/concepts/knowledgeread 2026-09-27 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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AutoGPTMemory & State Persistence Mem0 memory blocks let an agent add memories that persist across workflow executions, optionally scoped to the run or the agent and tagged with metadata, retrieve the latest memory or all memories with the same scoping, and search memory, with context review, memory export and listing memories to find outdated or incorrect information among the uses. Memory controls let the user review and forget stored facts and preferences when memory is enabled, and a persistent key-value storage block is shared across tasks and workflows. How long memories are kept is not stated. Sourceagpt.co basic blocks documentation and pricing pageread 2026-09-29 |
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CrewAIMemory & State Persistence A unified Memory class stores what agents learn in a hierarchical scope tree that can be inspected, recalls by semantic similarity, recency and importance with a configurable recency half life, and forgets by scope, so one project's or customer's memory can be deleted without wiping the rest; it works with crews, agents and flows. Sourcedocs.crewai.com/en/concepts/memoryread 2026-09-27 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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AutoGPTHuman Oversight & Guardrails A Human In The Loop block pauses workflow execution and presents data to a human reviewer for approval, waiting until the reviewer approves or rejects it and routing the data to separate approved and rejected outputs, with an option letting the reviewer edit the data before deciding and an optional review message explaining the decision. Uses include reviewing AI-generated content before publishing and requiring manager approval for purchases, access requests or configuration changes. Approval gates can be placed anywhere in a workflow, including nested workflows, with execution pausing for review and then resuming. Guardrails beside the approval step include per-task LLM budget caps, a spending cap per Expert, host-scoped HTTP credentials and safe-redirect protection. Sourceagpt.co basic blocks documentation and pricing pageread 2026-09-29 |
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CrewAIHuman Oversight & Guardrails Flows pause at @human_feedback steps for a person's review, and CrewAI AMP routes those requests by email to named reviewers with fallback responses on timeout; tasks can require human input before they complete, and a hallucination guardrail checks outputs. Sourcedocs-platform.crewai.com/platform/en/features/flow-hitl-managementread 2026-09-27 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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AutoGPTSecurity, Identity & Governance Access controls include OAuth 2.0 based single sign on, Google sign-in, API key generation, rotation and revocation, a credentials manager with scope filtering, host-scoped HTTP credentials, OAuth callback hardening and token validation, DNS-rebinding and safe-redirect protection, ClamAV scanning of uploaded files, and admin impersonation with audit trails. Admin controls and roles and security and compliance options are listed for a Team plan marked coming soon. No security certification, attestation or trust page is published, and no SAML, SCIM or role based access control is available on the current plans. Sourceagpt.co pricing page and docs indexread 2026-09-29 |
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CrewAISecurity, Identity & Governance CrewAI offers RBAC with feature and entity level permissions and custom roles, SSO through WorkOS, Microsoft Entra ID, Okta, Auth0 or Keycloak on both SaaS and self hosted Factory, a secrets manager with cloud workload identity federation, and PII redaction for traces. No certification is named in the docs, and the trust center sits at trust.crewai.com. Sourcedocs-platform.crewai.com/platform/en/features/rbacread 2026-09-27 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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AutoGPTObservability & Auditability Cost is shown in dollars for every task, node and block, and runs stream live over WebSocket with step counts and activity summaries. Task history is searchable, and any entry opens in the builder with all execution steps preserved. Per-model token consumption, cache hits and cost are tracked on every task, admin impersonation carries audit trails, and a read-only SQL Query block gives access to the customer's own platform data including custom analytics views. The execution diagnostics and analytics dashboards are admin tools for self hosters and are not exposed to cloud customers. No retention period for run history, or reasoning trace for AI blocks beyond inputs and outputs, is described. Sourceagpt.co pricing page and block documentationread 2026-09-29 |
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CrewAIObservability & Auditability Traces in CrewAI AMP record every execution from inputs to outputs, including agent reasoning, task details, tool calls and outputs, tokens, timings and cost estimates, with OpenTelemetry export and a Datadog integration; the framework also emits events and integrates with tracing tools. Sourcedocs-platform.crewai.com/platform/en/features/tracesread 2026-09-27 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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AutoGPTDeployment & Data Residency The platform is open source with a public repository and self-hosts free via Docker Compose, with the customer supplying their own model API keys so data and inference remain on their own infrastructure, and Llama among the pre-integrated models allows local model execution. The hosted cloud provides Pro and Max subscriptions, with a Team plan marked coming soon, and a pay-as-you-go credit wallet. Platform code is licensed under Polyform Shield, which permits use, modification and self-hosting but bars building a competing product, while the wider repository is MIT. No region selection or data residency commitment for the hosted cloud is documented. Sourcegithub.com/significant-gravitas/autogpt, agpt.co pricing page, docs.agpt.co self-hosting documentationread 2026-08-31 |
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CrewAIDeployment & Data Residency Enterprise deploys on CrewAI cloud, a dedicated VPC or the customer's own infrastructure (CrewAI Factory, self hosted), and the MIT framework runs anywhere the customer runs Python. Sourcecrewai.com/pricingread 2026-09-27 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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AutoGPTPrebuilt Agents, Templates & Packs AutoGPT runs a public marketplace of community-built agents carrying ratings and real run counts, with one-click adds to a personal library. Library operation blocks add an agent from the store to a personal library using its store listing version ID, returning the library entry and agent graph IDs for execution, and retrieve all library agents with search and pagination, for uses such as agent provisioning, onboarding flows that seed starter agents, and adding agents on demand when a user asks for a capability. Store listing version IDs pin the adopted version. Sourceagpt.co library and store operations block documentation, agpt.co home and pricing pagesread 2026-08-31 |
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CrewAIPrebuilt Agents, Templates & Packs Every plan lists agentic workflow templates, and the AMP Marketplace offers reusable assets and templates to install, but the templates and what each one does are not listed. The open source examples and cookbooks are starting points a developer adapts. Sourcedocs-platform.crewai.com/platform/en/features/marketplaceread 2026-09-27 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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AutoGPTModel Flexibility & Routing OpenAI, Anthropic, Groq and Llama models come pre-integrated, with the model chosen per block, and third-party integration guides show additional providers connected through AI blocks. Self-hosting is free with the customer supplying their own model API keys, while the hosted cloud uses a pay-as-you-go credit wallet for agent runs. AI reasoning blocks including AI Condition, Structured Response, AI Conversation, AI List Generator and Fact Checker each carry model configuration. No automatic routing between models at run time is described. Sourceagpt.co pricing and home pages, docs.agpt.co platform documentationread 2026-08-31 |
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CrewAIModel Flexibility & Routing Each agent can take its own model, chosen by the developer from many providers through their native SDKs or any LLM connection, including custom LLM implementations, and AMP supports Azure OpenAI and Vertex AI setups. Sourcedocs.crewai.com/en/concepts/llmsread 2026-09-27 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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AutoGPTAPIs, SDKs & MCP Extensibility A public REST API with an OpenAPI schema and generated SDK clients supports programmatic agent creation and execution, and a Block Development SDK lets customers build, register and ship custom blocks using a provider pattern that configures credentials and per run costs, with auto generated documentation surfacing custom blocks in builder search. The platform is open source with a public repository and free self-hosting via Docker Compose; platform code is licensed under Polyform Shield with the wider repository MIT. The MCP tools block works in the other direction, with the platform calling out, and no first party MCP server exposes AutoGPT agents to external assistants. Sourcegithub.com/significant-gravitas/autogpt, docs.agpt.co and dev-docs.agpt.co block SDK guide, agpt.co pricing pageread 2026-08-31 |
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CrewAIAPIs, SDKs & MCP Extensibility Deployed crews expose a REST API (GET /inputs, POST /kickoff, POST /resume, GET /status), the AMP platform API manages automations, users, roles and service accounts with access tokens, the Python framework and CLI are open source, and crews can be exported as MCP servers. Sourcedocs-platform.crewai.com/api/introductionread 2026-09-27 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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AutoGPTTesting, Debugging & Optimization The plan comparison lists Correctness and Accuracy Scoring, quality scores for each execution with alerts on regressions, and a dry-run self-repair loop in which newly generated workflows are simulated and errors caught and fixed automatically. Run-from-builder execution, task presets and version-pinned schedules support testing a specific workflow version. Both appear only as single lines in that table, and the scoring method, test sets and recorded expected outputs are not described. The execution analytics and diagnostics dashboards are admin tools for self hosters and are not exposed to cloud customers. Sourceagpt.co pricing pageread 2026-09-29 |
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CrewAITesting, Debugging & Optimization crewai test runs a crew for a set number of iterations and scores each task from 1 to 10 with an evaluator model, and AMP lists LLM testing and agent training that turns runs into improvement data; evaluation integrations such as Patronus are documented. Sourcedocs.crewai.com/en/concepts/testingread 2026-09-27 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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AutoGPTBrowser & Computer Use Stagehand Blocks bring AI powered browser automation through Stagehand and Browserbase: Stagehand Act performs click, fill, type, press, scroll and select actions described in natural language, alongside Extract and Observe, and each block requires the customer's Browserbase project ID. Browser automation also runs through a Chromium-backed agent browser, and self hosters bring their own keys and infrastructure for browser automation and other features that rely on third-party services. The browser engine is a third party service the customer connects, and the E2B sandbox block runs code. Sourceagpt.co Stagehand blocks documentation and pricing pageread 2026-09-29 |
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CrewAIBrowser & Computer Use Agents reach the browser through third party engines added as tools, among them Stagehand, Browserbase, Hyperbrowser, MultiOn and a Selenium scraper, plus scraping tools, and CrewAI runs no browser of its own. Sourcedocs.crewai.com/en/tools/web-scraping/overviewread 2026-09-27 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A AutoGPT |
C CrewAI |
|---|---|---|
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Entry price Lowest public entry point |
Free to self host the open source platform with the customer's own model API keys and infrastructure. The hosted cloud starts at Pro, $50 per month billed monthly with a 7 day free trial, with Max at $320 per month. | The open source framework is free under MIT. The hosted Basic plan is free with 50 workflow executions a month, and Enterprise is custom priced. |
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Pricing confidence How public the numbers are |
Public, partial | Public, partial |
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Billing Primary billing axis |
The Pro or Max subscription covers Otto and Expert chat usage, with Max at 8.5 times Pro. Workflow runs draw from a prepaid credit wallet at the same rate on every plan, with a spending cap per Expert. | Workflow executions. Basic is capped at a monthly count, and Enterprise executions are sized to the workflow and priced by quote. |
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Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
Free tierTrial
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Free tierTrial
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Buying motion Self-serve vs sales call |
Self-serve | Sales call |
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