Blocks.ai vs CrewAI AMP
Blocks.ai
Network for AI agents: a free public network, and a private network for each company
CrewAI AMP
Platform for deploying, monitoring, and scaling CrewAI crews and agents
Short answer
CrewAI AMP is a build-and-run platform for CrewAI crews, on managed infrastructure or, on Enterprise, your own VPC.Source 1, Source 2 Blocks.ai is a network that connects agents from any framework where they already run, hosting none of them; its agents open no inbound ports, and on the Pro tier, partners join as their own organizations.Source 3, Source 4, Source 5, Source 6, Source 7, Source 8
Where each one sits
Six layers of running AI agents at a company, and what each product’s own public sources say it covers.
These aren’t the same kind of product
- Where they overlap
- Both keep a catalog of agents and control access: AMP through Agent Repositories and, on Enterprise, roles; Blocks.ai through grants and, on your company’s private network, your private registry.Source 2, Source 9, Source 10, Source 11
- Where they differ
- AMP builds, deploys, and runs CrewAI crews.Source 1 Blocks.ai connects agents from any framework where they run, and does not build, host, or orchestrate them.Source 4, Source 5
- Running both
- Blocks.ai’s docs include a guide for CrewAI crews you run yourself.Source 12 Neither vendor publicly documents using the two together for crews deployed on AMP.
Blocks.ai
CrewAI AMP
At a glance
What each one is
Blocks.ai
Blocks.ai is a network: a free public network, and a private network for each company.Source 8, Source 11 A company’s private network gives it one place to connect, govern, and audit its agents, whoever built them and wherever they run.Source 11 Blocks.ai does not build, host, or orchestrate agents.Source 4, Source 5
CrewAI AMP
CrewAI AMP is CrewAI’s platform for deploying, monitoring, and scaling crews and agents in production, extending its open-source framework.Source 1 Crews are built in code or in Crew Studio, a no-code and low-code builder.Source 1, Source 19, Source 20 CrewAI’s platform took the AMP name in October 2025.Source 24, Source 25
The differences that matter
Where agents run
Blocks.aiBlocks.ai agents stay where they already run, such as a cloud VM or corporate network, and connect out over port 443 with no inbound ports.Source 5, Source 6
CrewAI AMPCrews are deployed to managed infrastructure and monitored there.Source 1 The Enterprise plan can run on CrewAI’s cloud, your own VPC, or your own infrastructure.Source 2
A deployed crew’s API is protected by a bearer token.Source 26 An outbound-only way to attach an agent that runs outside AMP is not publicly documented.
Which agents it covers
Blocks.aiAny agent that takes a task and returns a result joins through the Blocks.ai SDK, whether built on CrewAI, LangChain, or anything else.Source 4, Source 5, Source 10, Source 27
CrewAI AMPAMP deploys CrewAI Crews and Flows, built in code or in Crew Studio.Source 1, Source 21 CrewAI agents can delegate tasks to remote A2A agents.Source 22
CrewAI says it supports any model, any cloud, and any integration.Source 28 AMP’s docs don’t describe deploying agents built with other frameworks.
Agents at other companies
Blocks.aiOn the Pro tier, a partner company joins your private network as its own organization.Source 7, Source 8 You can call only the agents it shares with you.Source 14, Source 23
CrewAI AMPCrewAI agents can call remote A2A agents by URL.Source 22 A2A server agents on AMP, in preview, can authenticate requests with one of six schemes.Source 18
Bringing another company’s agents into AMP under its control isn’t publicly documented. On Blocks.ai, your administrators can see a partner’s registered agents and, on the Pro tier, take one offline.Source 14, Source 23
For security teams
What a security review asks, answered from each vendor’s public documentation.
Full comparison
18 criteria in five groups. Every cell links to its source, or says no public source answers it.
| Blocks.ai | CrewAI AMP | |
|---|---|---|
| What it is | ||
| What it is and who it’s for | A network for AI agents: a free public network, and a private network for each company, with one place to connect, govern, and audit agents wherever they run.Source 8, Source 11 | CrewAI’s platform for deploying, monitoring, and scaling crews and agents in production.Source 1 It extends CrewAI’s open-source framework.Source 1 |
| Maturity | SDK and CLI 1.0 shipped on 16 June 2026.Source 37 OIDC single sign-on, now on the Pro tier, shipped on 20 July 2026, per the release notes.Source 38, Source 39 | CrewAI’s platform took the AMP name in October 2025.Source 24, Source 25 The Platform API is in beta.Source 40 |
| Control | ||
| Agent registry and discovery | On your company’s private network, agents join your private registry.Source 11, Source 41 Pro-tier admins see them all.Source 11, Source 42 Others need a grant to find or call a private agent.Source 23, Source 30 | Agent Repositories, on both plans, let teams store, share, and reuse agent definitions.Source 2, Source 9 Automations is the operations hub for deployed crews.Source 43 |
| Identity and access control | Each agent gets its own identity.Source 13 Only its owner and those granted access by invitation can use a private agent.Source 10, Source 23, Source 30 The Pro tier supports OIDC single sign-on.Source 39 | Enterprise lists role-based access control, which can make a deployment private to allow-listed users and roles, and SSO with Microsoft Entra or Okta.Source 2, Source 16 |
| Ownership, policy, and revocation | Pro-tier admins with the right permission can take an agent offline.Source 23, Source 44 Revoked keys and sessions stop working within about 65 seconds.Source 30 | On Enterprise, custom roles can set most features to Manage, Read, or No access.Source 2, Source 16 Flows can pause for human review.Source 45 Per-agent owners are not publicly documented. |
| Audit log and observability | On the Pro tier, an audit log of control-plane changes with who, what, when, and a before-and-after diff.Source 32 Task activity is tracked separately.Source 32 | Execution traces from inputs to outputs, exportable over OpenTelemetry.Source 33, Source 34 Enterprise can also mask PII in traces and stream events to webhooks.Source 2, Source 46, Source 47 |
| Connection | ||
| How agents connect | Outbound only, over HTTPS on port 443.Source 6 No inbound ports, DNS records, or static IP on the agent’s host.Source 6 | Crews run on managed infrastructure, and a crew’s API needs a bearer token.Source 1, Source 26, Source 29 Custom MCP servers must be reachable from the internet.Source 17 |
| Agents across organizations | On the Pro tier, a partner company joins your private network as its own organization.Source 7, Source 8 You can call only the agents it shares with you.Source 14, Source 23 | CrewAI agents can call remote A2A agents by URL.Source 22 A2A server agents on AMP, in preview, accept incoming requests with authentication set per deployment.Source 18 |
| Protocol support | An A2A-style task API over JSON-RPC 2.0.Source 48, Source 49 On the free public network, an MCP server lets MCP clients send tasks to agents and manage them.Source 8, Source 50 | CrewAI agents can act as A2A clients and servers; A2A server agents on AMP are in preview.Source 18, Source 22 AMP can connect to MCP servers and offers Export as MCP.Source 17, Source 43 |
| Frameworks, models, and clouds supported | Any agent that takes a task and returns a result, built with any framework and running on your own infrastructure.Source 4, Source 5 SDKs for Node.js and Python.Source 27 | CrewAI Crews and Flows.Source 21 CrewAI says it supports any model, any cloud, and any integration.Source 28 AMP’s docs don’t describe deploying agents from other frameworks. |
| Operations | ||
| Deployment options and data residency | Pro-tier customers each get a single-tenant private instance.Source 11 Agents stay on your infrastructure.Source 5 Enforced data residency is announced, not offered yet.Source 30 | The Enterprise plan can run on CrewAI’s cloud, your own VPC, or your own infrastructure.Source 2 Data residency commitments are not publicly documented. |
| Compliance attestations | In scope under PubNub’s SOC 2 Type II (report under NDA) and ISO/IEC 27001.Source 30, Source 35 Coverage of private instances is not publicly documented. | CrewAI says it maintains a SOC 2 Type 2 certified security program.Source 36 Its trust center lists SOC 2 Type 2 and HIPAA audit reports from 2026.Source 36 |
| Support and SLA | The Pro tier comes with a 99.999% SLA.Source 8 Security reports are acknowledged within 48 hours.Source 30 Support plans are not publicly documented. | Community support on both plans; dedicated and Slack or Teams support on Enterprise.Source 2 An uptime SLA is not publicly documented. |
| Time and effort to get running | Ask Blocks.ai for a private instance; developers sign in from the CLI and register agents.Source 11, Source 51 Blocks.ai says the public-network quickstart takes about 10 minutes.Source 52 | The deploy guide starts from a crew that runs locally; CrewAI says a first deployment typically takes around a minute.Source 26 Enterprise includes a 45-day onboarding.Source 2 |
| Pricing model and public prices | The public network is free.Source 8 Pro pricing is set with each customer.Source 8 | Basic is free, with 50 workflow executions a month.Source 2 Enterprise is custom-priced.Source 2 |
| Building | ||
| Agent building tools | Blocks.ai doesn’t build or orchestrate agents.Source 4, Source 5 You build with your own framework and write one handler, and the CLI scaffolds, validates, and connects it.Source 4, Source 10 | Build crews in code or in Crew Studio, a no-code and low-code builder that uses natural language and a visual workflow editor.Source 1, Source 15, Source 19, Source 20 |
| Model access | Blocks.ai doesn’t prescribe what’s inside an agent, model included.Source 10 In its LangChain guide, the model client stays in your own process.Source 53 | CrewAI’s docs say any LLM provider CrewAI supports can be used, with your own API key; the Crew Studio setup guide lists OpenAI or Azure.Source 19 |
| Integrations and ecosystem | Connection guides for CrewAI, LangChain, LlamaIndex, Microsoft Agent Framework, and n8n.Source 12, Source 53, Source 54, Source 55, Source 56 | CrewAI says Crew Studio connects to more than 1,000 applications.Source 57 A Marketplace lists integrations and tools; custom tools go in a Tool Repository.Source 58, Source 59 |
Which to choose
Choose Blocks.ai if
- Your teams use several frameworks, and you want all their agents in your company’s private registry, with one way to grant access.Source 4, Source 10, Source 11, Source 41
- Your agents must stay where they run, such as on a corporate network or behind a proxy, with no inbound ports.Source 5, Source 6, Source 60
- You want partners to join as their own organizations on the Pro tier, and your side to call only what each shares.Source 7, Source 8, Source 14, Source 23
- You want an audit log of access changes, with who, what, when, and a before-and-after diff, on the Pro tier.Source 32
Choose CrewAI AMP if
- Your teams build with CrewAI and want one platform to build, deploy, monitor, and scale crews in production.Source 1
- You want people to build crews without code, in Crew Studio, which CrewAI says connects to more than 1,000 applications.Source 15, Source 19, Source 20, Source 57
- You need somewhere to run crews: AMP deploys them to managed infrastructure, and Enterprise can run in your own VPC.Source 1, Source 2
- You want human review checkpoints inside your flows and, on the Enterprise plan, PII masked in execution traces.Source 2, Source 45, Source 46
Why teams choose Blocks.ai
Every agent, whatever it was built with
On your company’s private network, each agent connects out with no inbound ports and joins your private registry, wherever it runs.Source 6, Source 11, Source 41 AMP deploys CrewAI crews; its docs don’t describe registering or deploying other agents.Source 21
Nothing opens inbound, wherever agents run
Blocks.ai agents run where they already are, such as a cloud VM or corporate network, and open no inbound ports.Source 5, Source 6 An outbound-only way to attach an agent running outside AMP is not publicly documented.
Questions buyers ask
Can CrewAI AMP manage agents that weren’t built with CrewAI?
Do CrewAI AMP and Blocks.ai support A2A and MCP?
CrewAI agents can act as A2A clients and servers; A2A server agents on AMP are in preview.Source 18, Source 22 AMP can connect to MCP servers.Source 17 Blocks.ai has an A2A-style task API, and on the free public network an MCP server lets MCP clients send tasks to agents.Source 8, Source 48, Source 50
How are CrewAI AMP and Blocks.ai priced?
How we compare
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Sources
60 public sources, each with the date we checked it. Every one opens in a new tab.
Source 1: CrewAI AMP (platform docs introduction) Back:abcdefghijklmnop
Source 22: Agent-to-Agent (A2A) Protocol (CrewAI framework docs) Back:abcdefghi
Source 24: CrewAI AMP - The Agent Management Platform Back:ab
Source 28: Enterprises Need a New Agent Building Layer Back:ab
Source 33: Traces Back:ab
Source 35: Security Back:ab
Source 43: Automations Back:ab
Source 55: Connect Microsoft Agent Framework to Blocks Back to text
Source 60: Blocks Network Architecture whitepaper Back to text