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 connects agents from any framework where they already run, hosting none of them, and lets you decide who can reach each one, including other companies.Source 3, Source 4, Source 5
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 5, Source 6, Source 7
- 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 3, Source 4
- Running both
- Blocks.ai’s docs include a guide for CrewAI crews you run yourself.Source 8 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 7, Source 21 A company’s private network gives it one place to connect, govern, and audit its agents, whoever built them and wherever they run.Source 7 Blocks.ai does not build, host, or orchestrate agents.Source 3, Source 4
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 15, Source 16 CrewAI’s platform took the AMP name in October 2025.Source 23, Source 24
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 3, Source 19
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 25 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 3, Source 4, Source 5, Source 26
CrewAI AMPAMP deploys CrewAI Crews and Flows, built in code or in Crew Studio.Source 1, Source 17 CrewAI agents can delegate tasks to remote A2A agents.Source 18
CrewAI says it supports any model, any cloud, and any integration.Source 27 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 20, Source 21 You can call only the agents it shares with you.Source 10, Source 22
CrewAI AMPCrewAI agents can call remote A2A agents by URL.Source 18 A2A server agents on AMP, in preview, can authenticate requests with one of six schemes.Source 14
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 10, Source 22
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 7, Source 21 | 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 36 OIDC single sign-on, now on the Pro tier, shipped on 20 July 2026, per the release notes.Source 37, Source 38 | CrewAI’s platform took the AMP name in October 2025.Source 23, Source 24 The Platform API is in beta.Source 39 |
| Control | ||
| Agent registry and discovery | On your company’s private network, agents join your private registry.Source 7, Source 40 Pro-tier admins see them all.Source 7, Source 41 Others need a grant to find or call a private agent.Source 22, Source 29 | Agent Repositories, on both plans, let teams store, share, and reuse agent definitions.Source 2, Source 6 Automations is the operations hub for deployed crews.Source 42 |
| Identity and access control | Each agent gets its own identity.Source 9 Only its owner and those granted access by invitation can use a private agent.Source 5, Source 22, Source 29 The Pro tier supports OIDC single sign-on.Source 38 | 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 12 |
| Ownership, policy, and revocation | Pro-tier admins with the right permission can take an agent offline.Source 22, Source 43 Revoked keys and sessions stop working within about 65 seconds.Source 29 | On Enterprise, custom roles can set most features to Manage, Read, or No access.Source 2, Source 12 Flows can pause for human review.Source 44 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 31 Task activity is tracked separately.Source 31 | Execution traces from inputs to outputs, exportable over OpenTelemetry.Source 32, Source 33 Enterprise can also mask PII in traces and stream events to webhooks.Source 2, Source 45, Source 46 |
| Connection | ||
| How agents connect | Outbound only, over HTTPS on port 443.Source 19 No inbound ports, DNS records, or static IP on the agent’s host.Source 19 | Crews run on managed infrastructure, and a crew’s API needs a bearer token.Source 1, Source 25, Source 28 Custom MCP servers must be reachable from the internet.Source 13 |
| Agents across organizations | On the Pro tier, a partner company joins your private network as its own organization.Source 20, Source 21 You can call only the agents it shares with you.Source 10, Source 22 | CrewAI agents can call remote A2A agents by URL.Source 18 A2A server agents on AMP, in preview, accept incoming requests with authentication set per deployment.Source 14 |
| Protocol support | An A2A-style task API over JSON-RPC 2.0.Source 47, Source 48 On the free public network, an MCP server lets MCP clients send tasks to agents and manage them.Source 21, Source 49 | CrewAI agents can act as A2A clients and servers; A2A server agents on AMP are in preview.Source 14, Source 18 AMP can connect to MCP servers and offers Export as MCP.Source 13, Source 42 |
| 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 3, Source 4 SDKs for Node.js and Python.Source 26 | CrewAI Crews and Flows.Source 17 CrewAI says it supports any model, any cloud, and any integration.Source 27 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 7 Agents stay on your infrastructure.Source 3 Enforced data residency is announced, not offered yet.Source 29 | 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 29, Source 34 Coverage of private instances is not publicly documented. | CrewAI says it maintains a SOC 2 Type 2 certified security program.Source 35 Its trust center lists SOC 2 Type 2 and HIPAA audit reports from 2026.Source 35 |
| Support and SLA | The Pro tier comes with a 99.999% SLA.Source 21 Security reports are acknowledged within 48 hours.Source 29 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 7, Source 50 Blocks.ai says the public-network quickstart takes about 10 minutes.Source 51 | The deploy guide starts from a crew that runs locally; CrewAI says a first deployment typically takes around a minute.Source 25 Enterprise includes a 45-day onboarding.Source 2 |
| Pricing model and public prices | The public network is free.Source 21 Pro pricing is set with each customer.Source 21 | 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 3, Source 4 You build with your own framework and write one handler, and the CLI scaffolds, validates, and connects it.Source 4, Source 5 | 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 11, Source 15, Source 16 |
| Model access | Blocks.ai doesn’t prescribe what’s inside an agent, model included.Source 5 In its LangChain guide, the model client stays in your own process.Source 52 | 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 15 |
| Integrations and ecosystem | Connection guides for CrewAI, LangChain, LlamaIndex, Microsoft Agent Framework, and n8n.Source 8, Source 52, Source 53, Source 54, Source 55 | CrewAI says Crew Studio connects to more than 1,000 applications.Source 56 A Marketplace lists integrations and tools; custom tools go in a Tool Repository.Source 57, Source 58 |
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 5, Source 7, Source 40
- Your agents must stay where they run, such as on a corporate network or behind a proxy, with no inbound ports.Source 3, Source 19, Source 59
- You want partners to join as their own organizations on the Pro tier, and your side to call only what each shares.Source 10, Source 20, Source 21, Source 22
- You want an audit log of access changes, with who, what, when, and a before-and-after diff, on the Pro tier.Source 31
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 11, Source 15, Source 16, Source 56
- 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 44, Source 45
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 7, Source 19, Source 40 AMP deploys CrewAI crews; its docs don’t describe registering or deploying other agents.Source 17
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 3, Source 19 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 14, Source 18 AMP can connect to MCP servers.Source 13 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 21, Source 47, Source 49
How are CrewAI AMP and Blocks.ai priced?
How we compare
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Sources
59 public sources, each with the date we checked it. Every one opens in a new tab.
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Source 1: CrewAI AMP (platform docs introduction) Back:abcdefghijklmnop
Source 18: Agent-to-Agent (A2A) Protocol (CrewAI framework docs) Back:abcdefghi
Source 23: CrewAI AMP - The Agent Management Platform Back:ab
Source 27: Enterprises Need a New Agent Building Layer Back:ab
Source 32: Traces Back:ab
Source 34: Security Back:ab
Source 42: Automations Back:ab
Source 54: Connect Microsoft Agent Framework to Blocks Back to text
Source 59: Blocks Network Architecture whitepaper Back to text