Agentic Index

Best agent infrastructure platforms, ranked for infrastructure teams (2026)

32 of 187 document the full production contract.

17.1% of the lane, graded from public evidence.

The Agentic Index grades 187 agent infrastructure vendors against the same 14 capabilities as every other lane. These are independent ratings of the platforms production agents run on, rated from each vendor's own public evidence rather than from analyst opinion, vendor briefings or paid placement.

The bar is the contract an infrastructure team signs for when agents run on a platform it owns. It runs inside your boundary, answers to your identity model, lets you choose the model, can be tested before a change ships, and shows you what ran. This is a bar, not a leaderboard: a vendor either documents all five in its own public materials or it does not clear, and Partial evidence on any one does not count.

This field can show you what an agent did in production and cannot show you it was checked before it got there.

Observability and auditability is documented in full by 126 of 187, 67% of the lane. Testing is documented by 67, 36%. 70 of the 126 platforms that trace agents do not document a harness to test them first.

A trace tells you what happened after it happened. A harness runs your own cases against your own agent before the change goes live and tells you whether it got worse. 48 vendors document the other four clauses in full, and testing is the sole blocker for 16 of the 31 that sit one clause short, including Latenode and Writer at 13.0, the two highest coverage vendors that miss.

Testing mostly lives in a separate product.

12 of the 32 platforms that clear are evaluation and observability specialists. The testing near misses sit in the workflow, integration and tool layers, products that run agents and connect them rather than grade them. Another 71 vendors document something short of a harness, usually a debugger or a playground.

The practical reading for a buyer: the contract is usually met by two products, a runtime and an evaluation platform. The question worth asking is whether the two share a trace, so a failed test and a production incident read from the same record.

Evaluation and observability

12

Framework and runtime

4

Agent building platform

4

Model and agent gateway

4

Workflow and task engine

3

Browser infrastructure

2

Domain automation platform

2

Tool authorization

1

Running inside your own boundary is normal here.

118 of 187 document self hosting, a VPC or on premises option, or a stated residency choice in full, and 124 document security and identity governance. Model choice is thinner at 99: a platform that hard wires its model provider is a platform you migrate off when the provider changes terms.

The lane is also wide. 62 of the 187 are here by secondary category, products from other lanes that also sell themselves as infrastructure, and the list below discloses which.

APIs and MCP support are deliberately off the bar.

152 of 187 document APIs, SDKs and MCP extensibility in full, 81% of the lane. In this layer an API is table stakes, and an axis almost everyone clears does no work separating vendors. Every count is printed below, so a reader who prefers a different five can recompute the result from the same grid. Disagreeing with this bar is arithmetic rather than research.

The production contract, and how the 187 vendors score against it

Clause	Capability, and what has to be documented	Full	Only blocker
1.It runs inside your boundary	Deployment and data residencySelf hosting, a VPC or on premises option, or a stated residency choice, so the platform runs inside the boundary your security review draws rather than only in the vendor's cloud.	118 (63%)	2
2.It answers to your identity model	Security and identity governanceSingle sign on, role based access and scoped credentials, with a compliance attestation behind them. An agent platform is a new principal on your network and has to be governed like one.	124 (66%)	4
3.You choose the model	Model flexibility and routingThe customer picks the model behind each agent, brings its own keys or routes across providers, so changing models is a configuration change rather than a migration.	99 (53%)	8
4.It can be tested before it ships	Testing, debugging and optimizationAn evaluation harness over your own agents, with datasets, scorers or simulations that run before a change reaches production. A debugger after something breaks is not the same thing. This is the thinnest clause on the bar.	67 (36%)	16
5.It shows you what ran	Observability and auditabilityStep level traces of model calls, tool calls and decisions, retained and exportable, so an incident review reads a record instead of reconstructing one.	126 (67%)	1

Full means the vendor publishes evidence meeting the capability in its own public materials, under the Agentic Index verification standard. Only blocker counts vendors that document the other four clauses in full and fail on this one alone. Read the last column: testing accounts for 16 of the 31 near misses, and observability for 1.

Clears the contract and scores 11.5 or higher of 14 overall

These 12 platforms document all five clauses in full and sit at the top of the Agentic Index coverage score. Ordered by total coverage across all 14 capabilities, ties broken alphabetically, which is exactly what the rankings pages compute. Two of the 6 vendors in the whole index with a perfect 14 of 14 open the list. Coverage measures breadth, so a lower score usually means a narrower product rather than a weaker one.

1. 1.FLOWX.AI

   14.0 / 14 capabilities

   Agent building platform: Agent platform for banking that deploys prebuilt agents over legacy core systems (secondary lane membership, primary category Agent builder)

   One of six vendors in the whole index at a perfect 14 of 14, and in this lane by secondary category. FLOWX.AI is an agent platform for regulated industries, above all banking, that ships more than 220 prebuilt agents over existing core systems rather than replacing them. Every clause of the contract is on the record. Customers install it on Kubernetes in their own infrastructure. ISO/IEC 27001 certification and a SOC 2 Type I examination sit behind the access controls. Model providers are configured by the customer, with its own API keys. An Evaluations harness runs test datasets against a specific AI node in a specific workflow, and Observatory streams agent, chain and tool telemetry from an SDK. Named customers include National Bank of Canada, OTP Bank and Banca Transilvania. Enterprise sales, no public pricing.

2. 2.Mastra

   14.0 / 14 capabilities

   Framework and runtime: Open source TypeScript agent framework with a hosted platform for evals and deployment

   The other perfect 14 in the lane, and the open source one of the two. Mastra is a TypeScript framework for agents and workflows under Apache 2.0, with the Mastra Platform adding hosted Studio, observability, evals and deployment. Its model router reaches thousands of models across providers and the gateway accepts the customer's own keys. Scorers, datasets and experiments check named behaviors such as correct tool selection, and evals run in CI. Traces record every step, model call and tool call, with retention stated by plan and audit logs on Enterprise. Deployment runs from the open framework anywhere to the Enterprise platform on premises or in the customer's own cloud, with RBAC, SSO and network policy integration.

3. 3.Agno

   13.0 / 14 capabilities

   Framework and runtime: Python agent framework and AgentOS runtime that runs in your own cloud

   A Python agent framework and the AgentOS runtime, formerly Phidata, built on the premise that agents run in your cloud rather than the vendor's. Deployment templates cover Docker, AWS, Azure, GCP, Helm and several hosts, and the pricing page states data never leaves the customer's system. AgentOS documents one of the deepest access surfaces in the pool: JWT authentication across REST, MCP, A2A and WebSocket requests, roles as scoped bundles, service accounts and per user data isolation. Evals run in development and CI, covering accuracy, agent as judge, reliability and performance, and tracing writes execution spans into the customer's own database.

4. 4.Tray.ai

   13.0 / 14 capabilities

   Workflow and task engine: Enterprise integration and automation platform with an agent builder and an MCP gateway

   Formerly Tray.io, an enterprise integration and automation platform with an agent layer on top, and the only integration platform on this list. Its testing clause rests on a template rather than a console: an evaluation framework in Tray's own library runs an LLM judge over each prompt and response and tracks the scores over time, so versions of an agent can be compared, beside a built in test chat that shows the tools considered and the tokens spent. Instances run in a US, EU or APAC region the customer picks, with an on premises agent and AWS PrivateLink for systems behind the firewall. SOC 1 and SOC 2 Type 2 sit behind roles, two factor settings and an access allowlist, and agents run on Tray's own model or on the customer's OpenAI or Bedrock keys. Every workflow step is logged and can stream to the customer's own endpoint. More than 700 connectors, pricing by quote.

5. 5.Datafuse Technology Inc

   12.5 / 14 capabilities

   Agent building platform: SimplAI, an enterprise agent operating system from cloud to air gapped (secondary lane membership, primary category Multi-agent platform)

   Listed under its corporate name, the Delaware company behind SimplAI, an enterprise agent operating system from a seed stage team of about 34 people. It deploys across SimplAI cloud, customer cloud, VPC, on premises and air gapped environments with no architectural change between them. SOC 2 Type II and ISO 27001 are stated, and runtime isolation prevents leakage across agents and tenants. A model layer routes across multiple LLMs with the model chosen per agent. Two evaluation layers cover curated test datasets before launch and continuous scoring of production conversations, and run history traces every run with cost, latency, tool time and token counts. A published Starter tier sits under a quote only enterprise plan.

6. 6.Akka

   12.0 / 14 capabilities

   Framework and runtime: Multi agent systems on a durable, event sourced distributed runtime (secondary lane membership, primary category Multi-agent platform)

   The durable runtime entry. Akka runs multi agent systems on its distributed, event sourced runtime, so orchestration, agents, memory and streaming share one SDK. It deploys across regions, clouds and edge and keeps data in the customer's infrastructure, with nineteen compliance attestations including SOC 1 Type II, SOC 2 Type II, PCI DSS Level 1 and ISO 27001. Model access is governed at the platform level, with policies and token budgets per model. Testing is an evaluation suite using the LLM as judge pattern with session replay, and audit trails come out of the event sourced state model itself, exportable to existing telemetry.

7. 7.Browserbase

   12.0 / 14 capabilities

   Browser infrastructure: Hosted headless browser fleets for agents, with the Stagehand SDK and MCP (secondary lane membership, primary category Browser / computer-use agent)

   In the lane by secondary category, primary Browser / computer-use agent. Browserbase runs fleets of isolated headless Chromium sessions as a service, so agents can work the parts of the web that have no clean API: logins, heavy JavaScript and interactive flows. It ships the Stagehand SDK and an MCP integration on top. The notable thing for an infrastructure team is where it sits on this list. Browser automation is usually the least governable piece of an agent stack, and here it is graded on the same five clauses as a framework and clears all of them.

8. 8.Haystack

   12.0 / 14 capabilities

   Framework and runtime: deepset's open source agent and retrieval framework, with an enterprise platform

   deepset's open source Python framework for agents, retrieval and search pipelines, with the Haystack Enterprise Platform for managed or self hosted deployment. The Enterprise Platform deploys to managed cloud or the customer's own infrastructure, described as sovereign and on premises capable, and documents RBAC, SSO and audit logs over SOC 2 Type II, ISO 27001, GDPR and HIPAA. Generators come from OpenAI, Anthropic, Mistral, Hugging Face and others, and deepset describes a customer swapping models without breaking production. Evaluation covers whole pipelines or single components with statistical and model based evaluators, and traces export to OpenTelemetry, Datadog, Langfuse and MLflow.

9. 9.Windmill

   12.0 / 14 capabilities

   Workflow and task engine: Open source workflow engine with agent steps, evals and approval steps

   An open source workflow engine and developer platform where scripts in more than twenty languages become flows, apps and endpoints, with AI agent steps inside them. It self hosts on Docker, Kubernetes through Helm, AWS EKS and ECS, and Azure, alongside Windmill Cloud. The Enterprise Edition carries a SOC 2 Type II report with SAML and SCIM. The customer picks the model behind each agent step from a long provider list that includes OpenRouter and custom endpoints. Its evaluation harness attaches a dataset of cases to a reusable agent and scores the answers with AI judges or scripts, keeping every run, and audit logs are kept apart from the run history.

10. 10.Itential

    11.5 / 14 capabilities

    Domain automation platform: Governed orchestration for network and infrastructure changes (secondary lane membership, primary category SRE / DevOps agent)

    In the lane by secondary category, primary SRE / DevOps agent, and the most explicit design principle in the pool: AI reasons and proposes, and never touches infrastructure directly. Every change, whether a person, a workflow, a ticket or an agent starts it, executes through one governed engine with RBAC, approval gates, blast radius limits, validation, rollback and immutable audit trails. It deploys on premises, in private cloud or in customer controlled public cloud, with data and execution staying in the customer's environment, and Workflow Studio serves as a test surface before deployment. Used by Lumen and Southern California Edison. No public pricing.

11. 11.LangSmith

    11.5 / 14 capabilities

    Evaluation and observability: LangChain's tracing, evaluation and agent deployment platform

    LangChain's commercial platform and the most complete evaluation and observability entry on the list. It runs as managed cloud with US or EU residency, as hybrid with the data plane in the customer's VPC, or fully self hosted on Kubernetes. SOC 2 Type II, HIPAA and GDPR, with SAML or OIDC single sign on, SCIM and attribute based access policies. Its LLM Gateway takes the customer's own model keys, with fallbacks and spend controls. Offline evaluation on datasets and online evaluators on production traffic sit beside step level traces that can be searched and exported. Sold per seat with usage metered on top.

12. 12.Trigger.dev

    11.5 / 14 capabilities

    Workflow and task engine: Open source runtime for long running tasks and chat agents

    An open source TypeScript platform for long running background tasks and agents with no timeouts, under Apache 2.0, self hosted or on the managed cloud with a region preference. The Enterprise plan carries a SOC 2 report and a penetration test report with RBAC and SSO, and a HIPAA BAA is available as an add on. Prompts carry a default model in code that the team can override from the dashboard. Its testing harness runs an agent's real turn loop in memory so a test can assert on what the agent emits, and every run records as a trace, with model calls turned into spans carrying tokens, cost and latency.

The remaining 20 platforms that clear the contract

Every one of these documents all five clauses in full. They score below 11.5 of 14 on total coverage, which says something about breadth across the whole taxonomy rather than about how well they do their job. Most of the evaluation specialists and model gateways sit here precisely because they do one layer of the stack.

The 31 platforms that miss by exactly one clause

These document four of the five and fail one. Testing is the missing clause for 16 of them. A miss is a documentation finding, not a verdict on the product: several of these vendors may well do the thing and have not published evidence that meets the standard. If you already hold a shortlist, this table gives you the single question to put to each one.

Common questions

What are the best agent infrastructure platforms in 2026?

32 of the 187 vendors in the Agentic Index agent infrastructure lane document the full production contract in their own public materials: the platform runs inside your boundary, answers to your identity model, lets you choose the model, can be tested before a change ships, and shows you what ran. That is 17.1% of the lane. Ordered by total coverage across all 14 capabilities, the list opens with FLOWX.AI, Mastra, Agno, Tray.ai, Datafuse Technology Inc, Akka, Browserbase, Haystack. These are not interchangeable products. The list spans frameworks, gateways, workflow engines, browser infrastructure and evaluation platforms, so read the layer beside each name before comparing scores.

What are the best agentic AI platforms for infrastructure teams?

It depends on which layer the team is buying. For running agents, the frameworks and runtimes that clear every clause are Mastra, Agno, Akka and Haystack, and the agent building platforms are FLOWX.AI, Datafuse Technology Inc, Vellum and MakinaRocks. For routing traffic across model providers, the gateways that clear are OpenRouter, LiteLLM, Kong and Portkey. For testing and tracing, 12 evaluation and observability platforms clear, led by LangSmith, Braintrust, LangWatch. Every one is graded on the same five clauses from public evidence, and no vendor pays for placement.

Which agent infrastructure platforms can you test before a change ships?

67 of the 187 document a testing harness over the customer's own agents in full, 36% of the lane, and another 71 document something short of one. Testing is the sole blocker for 16 of the 31 vendors one clause short of the bar, including Latenode and Writer, the two highest coverage vendors that miss. Much of the testing capability sits with specialists: 12 of the 32 platforms that clear are evaluation and observability products. If your runtime does not test, plan on a second product that does, and ask whether the two share a trace.

Why do so many platforms that trace agents not test them?

Because tracing and testing answer different questions. 126 of the 187 document observability and auditability in full, and 70 of those 126 do not document a testing harness in full. A trace tells you what an agent did after it did it. A harness runs a dataset of cases against your agent before the change goes live and tells you whether it got worse. The workflow, integration and tool layers are where testing most often drops out: Latenode, Writer, Kestra, SnapLogic, Paragon, Composio, Daytona all document the other four clauses and not this one. In a demo, ask the vendor to run your own evaluation cases against your own agent.

Can I run agent infrastructure in my own cloud?

Usually. 118 of the 187 document self hosting, a VPC or on premises option, or a stated data residency choice in full, 63% of the lane, and every platform on this page does by definition. The range runs from open source frameworks you deploy anywhere, such as Mastra, Agno and Trigger.dev, to enterprise platforms that install on Kubernetes inside your environment, such as FLOWX.AI, and hybrid models such as LangSmith, which keeps the control plane in the vendor's cloud and the data plane in yours.

Why are APIs, SDKs and MCP support not on the bar?

Because 152 of the 187 document them in full, 81% of the lane, and a capability almost everyone clears does no work separating vendors. In this lane an API is table stakes. The five clauses on the bar were chosen because they separate the field, and every count is printed on this page, so a reader who prefers a different five can recompute the result from the same grid.

Is this ranking paid or sponsored?

No. No vendor pays for placement, no vendor has reviewed this page, and every grade comes from the vendor's own public materials under the Agentic Index verification standard. 968 vendors are graded against the same 14 capabilities. Data last verified September 25, 2026.

Method and related pages

This page runs the horizontal grading method over one lane of the index: membership is the Agent infrastructure category, 187 vendors out of 968 researched, 125 by primary category and 62 by secondary, every one carrying a complete 14 row capability grid, with none excluded for incomplete evidence. The bar is five of those 14 capabilities at Full, stated in full above so you can disagree with it and recompute. The stack layer beside each name is an editorial description of what the product is, not a grade. Every grade comes from the vendor's own public materials under the Agentic Index verification standard. No vendor pays for placement and no vendor has reviewed this page. This is a capability record, not a substitute for your own security review. Data last verified September 25, 2026. How this evidence is graded

Related: all 187 agent infrastructure platforms ranked on total coverage, the full agent infrastructure capability matrix, how every vendor scores on testing, how every vendor scores on observability, LangChain against Mastra, Anchor Browser against Hyperbrowser, Arize AI against Galileo, Daytona against Modal, agent observability platforms, self hosted AI agent platforms, platforms that let you bring your own model, production ops agents ranked for automated incident resolution, coding agents ranked on the merge loop, compare vendors side by side.