Best AI Agent Platforms in 2026

This ranking scores 10 platforms for building and running AI agents (systems that take a goal, reason over steps, call tools and act) on agent-building UX, autonomy and orchestration, integrations and tools, governance, and value. The field spans dedicated agent builders (Lindy, Gumloop), a code-first multi-agent framework (CrewAI), automation platforms that have added agents (Make, Zapier, n8n and the open-source Activepieces), agent-assisted flows where a person signs off each decision (Moxo), and domain tools (Bardeen for lead sourcing, Tines for security operations and cross-team automation). CrewAI leads at 7.9, Lindy and n8n tie at 7.7, and Zapier and Activepieces tie at 7.5. Scores apply the published criteria to vendor pricing, documentation, trust and status pages read on 28 and 29 September 2026.

Rank	Tool	Score	Best For	Evaluated
1	CrewAI Open-source Python framework for multi-agent orchestration with roles, goals, memory, and sequential or hierarchical execution. Strengths: Code-first multi-agent control Open-source and extensible The Basic tier is free, and the enterprise platform adds a Control Plane, RBAC and human-in-the-loop (crewai.com, read 29 Sep 2026) Weaknesses: Requires engineering effort Code-first core; the no-code visual editor exports to Python (crewai.com, read 29 Sep 2026)	7.9	Developers building code-first multi-agent systems	Sep 29, 2026
2	Lindy No-code AI agent builder for operations (email, meetings, calendar, voice). Strengths: Natural language agent creation Computer Use for web automation 1,000+ integrations (lindy.ai/integrations, read 29 Sep 2026) SOC 2 and GDPR compliant; SSO, audit logs and HIPAA with a signed BAA are Enterprise-only (lindy.ai/pricing, read 29 Sep 2026) Weaknesses: Credit-based pricing escalates at scale Multi-agent orchestration learning curve Smaller community than established platforms	7.7	Teams wanting natural-language agent building for SMB ops	Sep 29, 2026
3	n8n Workflow-native AI agents on a self-hostable, fair-code engine, bridging automation and agent use cases. Strengths: Self-hosted AI pipeline control LangChain integration AI agent nodes 500+ integrations with code-in-node flexibility (n8n.io, read 29 Sep 2026) Weaknesses: AI features require technical setup No managed AI agent builder Self-hosting adds operational overhead	7.7	Self-hosted AI workflow orchestration with code	Sep 29, 2026
4	Zapier 9,000+ integrations plus Zapier Agents and an MCP layer exposing 30,000+ actions to agents (zapier.com/mcp, read 29 Sep 2026). Strengths: AI Zap builder from natural language 9,000+ integrations Tables and Interfaces for internal tools Large, long-established automation community Weaknesses: Per-task pricing expensive at scale Agent activity is metered and AI steps follow task-based pricing; current plan prices and allowances are on zapier.com/pricing (read 29 Sep 2026) No self-hosting option	7.5	Broadest integration library with AI-assisted agents	Sep 29, 2026
5	Activepieces MIT-licensed open-source automation with 762 open-source pieces and a live MCP server for agent use (activepieces.com/pieces, read 29 Sep 2026). Strengths: MIT-licensed core; enterprise features separately licensed Self-hostable with full control Growing AI node ecosystem Free plan with 1,000 credits a month and Plus from $20/mo (activepieces.com/pricing, read 29 Sep 2026) Weaknesses: AI agent features less mature than dedicated platforms Integration library of 762 pieces is smaller than Zapier's 9,000+ (activepieces.com/pieces, read 29 Sep 2026) Younger community with fewer resources	7.5	Open-source AI-augmented workflows with MIT licensing	Sep 29, 2026
6	Gumloop Fast-rising no-code agent platform; raised a $50M Benchmark-led Series B with customers including Shopify and Ramp. Strengths: Strong no-code agent UX Recent funding and enterprise traction Pitches agent building without code in minutes, a vendor claim credited in its Agent-building UX score (gumloop.com, read 29 Sep 2026) Weaknesses: Younger platform than incumbents Credit-based pricing to model	7.3	No-code agent building with marquee enterprise adoption	Sep 29, 2026
7	Make Visual automation platform with Make AI Agents (beta) and an MCP server across all plans. Strengths: AI scenario builder 3,000+ integration apps (make.com/en/integrations, read 29 Sep 2026) Visual data flow mapping Competitive pricing from $9/mo Weaknesses: AI agent features less autonomous than dedicated platforms Operations-based pricing can spike Complex scenarios require manual tuning	7.1	Visual automation with AI agents at scale	Sep 29, 2026
8	Tines Automation platform with native AI agents; Tines 3B, launched 28 July 2026, extends it from security operations to IT, finance, people and operations teams (tines.com, read 29 Sep 2026). Strengths: Purpose-built security automation Free community edition SOC 2 Type II certified 256 tools in its library, and 3B connects to any API or MCP (tines.com/library/tools, read 29 Sep 2026) Weaknesses: Cross-team use is new: security operations is its longest-established use, and 3B only launched on 28 July 2026 (tines.com, read 29 Sep 2026) Quote-only paid pricing; the Free edition allows 3 live workflows (tines.com/pricing, read 29 Sep 2026) Agents are built without code on the Storyboard, in Task and Chat modes; the agent pages document no memory or multi-agent features (tines.com/product/agents, read 29 Sep 2026)	6.8	Security operations AI automation and SOAR	Sep 29, 2026
9	Moxo Moxo's agents work inside flows of human steps that a person closes, and the record lists each one as a user of kind agent. Their reach is wider than moxo.com shows: the Moxo app lists 38 connectors and a Zapier bridge usable "through flow actions or AI agents". The named agents start on the custom-quoted Scale plan (moxo.com/pricing, read 28 September 2026). Strengths: Agents are a distinct kind of user, and audit rows label their work "AI Agent" (Moxo API reference v2.0.0; synthetic tests, 14 and 15 September 2026) Build with AI drafts a template and the agents it references from a written brief, also callable as POST /v1/ai/generations Agents prepare, advise or review around approvals, forms, file requests and e-signatures, which stay steps a person closes An MCP server with 25 tools lets outside agents start and act on flows, and Moxo agents can "hand off to Claude, OpenAI, or any MCP server" (Moxo docs, read 28 September 2026) Weaknesses: The named agents start on the custom-quoted Scale plan, alongside webhooks, REST APIs and MCP connections, so the agent tier has no published price Team, the only published price, is $5,000 a year for 100 flows, with no free plan (moxo.com/pricing, 28 September 2026) Agents work inside a designed flow with a defined scope rather than roaming a person's inbox or calendar	5.5	Agent-assisted client and supplier processes where a person signs off each decision	Sep 29, 2026
10	Bardeen AI automation for go-to-market teams, with an agentic web scraper for sourcing and enriching leads (bardeen.ai, read 29 Sep 2026). Strengths: Agentic web scraper for sourcing leads (bardeen.ai, read 29 Sep 2026) Lead data can sync to spreadsheet apps such as Google Sheets, Airtable and Notion, or export as CSV (bardeen.ai/integrations, read 29 Sep 2026) SOC 2 Type 2 since 1 April 2024, plus GDPR and CASA Tier 2 and 3 (bardeen.ai/security, read 29 Sep 2026) Permanent free allowance of 100 credits, with Basic at $10/month and Premium at $50/month (bardeen.ai/pricing, read 29 Sep 2026) Weaknesses: The integrations page lists spreadsheet and CSV hand-off, with no MCP connector or connector count (bardeen.ai/integrations, read 29 Sep 2026) Credit system meters each row (1 credit, 3 for enrichment), so it scales poorly at volume (bardeen.ai/pricing, read 29 Sep 2026) The newest public release-notes entry is v2.80.0 of 6 August 2024, so recent change history is hard to follow (bardeen.ai, read 29 Sep 2026)	5.4	AI lead sourcing for sales and GTM teams	Sep 29, 2026

Methodology

Ten platforms scored from 1 to 10 on agent-building UX (25%), autonomy and orchestration (25%), integrations and tools (20%), governance (15%) and value (15%), from vendor pricing, documentation, trust and status pages read on 28 and 29 September 2026. Positions follow total score. Tied entries keep their previous relative order.

Read full methodology

This ranking covers platforms for building and running AI agents: systems that take a goal, reason over steps, call tools, and act. It mixes agent-native builders with automation platforms that have added agent capability, and was re-evaluated on 8 June 2026 and re-scored on 28 and 29 September 2026.

A useful distinction for buyers: agent-native platforms (Lindy, Gumloop, CrewAI) are designed around agents first, while automation-first platforms (Make, Zapier, n8n) added agents onto a mature integration engine. Both are valid; they suit different teams.

Scoring criteria

Criterion	Weight	What it measures
Agent-building UX	0.25	Speed and clarity of building a working agent
Autonomy & orchestration	0.25	Multi-step reasoning, multi-agent, memory
Integrations & tools	0.20	Connectors and MCP for agent actions
Governance	0.15	Audit, security, human-in-the-loop
Value	0.15	Pricing relative to agent usage

How to choose

Diagram source (Mermaid)

flowchart TD
  A[Choosing an AI agent platform] --> B{Code-first or no-code?}
  B -- Code-first --> C[CrewAI: multi-agent in Python]
  B -- No-code --> D{Already run an automation platform?}
  D -- Yes --> E[Add agents in n8n / Make / Zapier]
  D -- No --> F{SMB ops vs security ops?}
  F -- SMB ops --> G[Lindy or Gumloop]
  F -- Security ops --> H[Tines]

The clearest 2026 riser is Gumloop, which announced a $50M Benchmark-led Series B (gumloop.com/blog/series-b, read 29 Sep 2026), alongside category mainstay Lindy. CrewAI, missing from earlier editions, is the notable code-first addition in this revision.

September 2026 re-scoring

On 28 and 29 September 2026 every entry was re-scored against the published criteria from vendor pricing, documentation, trust and status pages read on those dates, and each entry now shows its per-criterion scores. Lindy and n8n tie at 7.70 and Zapier and Activepieces tie at 7.50, and each pair keeps its previous relative order. Moxo (5.50) and Bardeen (5.35) are within one judgement point on one criterion and are effectively tied.

The weighting rewards open-ended agent builders

Half the weight sits on building the agent and letting it act: agent-building UX and autonomy and orchestration carry 25 percent each. That sets the top of the list. CrewAI leads at 7.9 on the only 10 awarded for autonomy and orchestration, and each of the top six entries scores at least 7 on both of those criteria.

Governance carries 15 percent, so a strong audit and human-in-the-loop record cannot make up for a weaker build or autonomy score. Tines holds the highest governance score on the page, 9, and totals 6.8. Value, also at 15 percent, is scored as pricing relative to agent usage. A seat- or credit-metered plan answers that directly, while the criterion has no stated anchor for quote-only or flow-metered pricing, so those plans are scored on what is published. The lowest scores in the value and integrations columns belong to the last two entries: Moxo scores 2 on value and Bardeen 4 on integrations. Integration counts are read in each vendor's own unit, whether apps, pieces, nodes or MCP tools, and the entries name the unit. The weights date from the June 2026 re-evaluation and apply to every entry in the same way.

Customer logos and user counts move no score here

None of the five criteria covers track record, customer base or funding, so customer logos, user counts and funding rounds change no score on this page. The rule applies to every vendor in the same way, and it would change only if a later edition added a criterion that covers track record, in which case logos and counts would count there and nowhere else.

A logo on a vendor's site shows that a product was bought. It does not show that the buyer runs agents on it, and a case study can describe a different product line from the one scored here. Adoption figures a vendor states about itself, such as the share of large enterprises using it, are read the same way. Where an entry mentions funding or customers, the fact is context for a buyer and carries no weight in the total. A reader who weighs track record heavily should take references directly rather than read it into these scores.

When this rubric is the wrong lens

This rubric measures how far an agent can be built and then left to act. It under-measures products where the agent works inside a process a person closes: client and supplier workflows in which approvals, forms and e-signatures stay human steps and the agent prepares, advises or reviews around them. On those products governance, at 15 percent, is the only criterion that reads the human step, so a buyer choosing for that pattern should read the ranking of human-in-the-loop platforms alongside this page.

Two products were considered and not scored. Relay.app is excluded because the product is gone: it announced its shutdown on 16 July 2026, and paid accounts and their data were deleted after 14 September 2026. Relevance AI is an agent-native builder that sits outside this edition's scored set.

Verification

Every figure on this page was read from a vendor-owned surface, with 28 and 29 September 2026 as the retrieval dates unless another date is stated against the figure. The surfaces checked were vendor pricing, documentation, trust and status pages, among them moxo.com/pricing, the Moxo API reference, changelog and MCP documentation, the integrations page in the Moxo app, lindy.ai, n8n.io, make.com, zapier.com/pricing and zapier.com/mcp, crewai.com, tines.com, activepieces.com, bardeen.ai and gumloop.com, together with Tines's 3B launch announcement of 28 July 2026 and AutomationAtlas's synthetic tests of 14 and 15 September 2026 cited in the Moxo entry.

Some figures a buyer might expect are not published. Tines publishes no price for its paid plans, and Moxo publishes none for the Scale plan on which its named agents start, so both are stated as quote-only rather than estimated. No CrewAI certification is claimed on this page; buyers who need one should confirm it at trust.crewai.com.

Where a vendor's own surfaces disagree, both readings are stated rather than the more flattering figure being chosen. Zapier's MCP page shows "66,000+ triggers and actions" and, lower on the same page, "30,000+ actions"; the Zapier entry uses the 30,000+ actions figure. Activepieces' pricing FAQ says its SOC 2 program is in progress while its security page says SOC 2 Type 2 is independently audited, so the attestation is treated as unconfirmed. Moxo's Agent Foundry lesson carries no tier for bringing your own model, while moxo.com/pricing lists "Bring your own model / agent" under Enterprise, and the Moxo entry cites both.

Prices and plan gates move faster than agent features. Before relying on a cost figure, re-read the vendor's pricing page and confirm which plan still carries the agent features you need, because on this list the plan with a published price and the plan that carries the agents are not always the same plan.

Editor's Note: Across ShadowGen agent builds in 2025-26, the platform choice follows the team, not the demo. For an operations team with no engineers we ship on a no-code builder like Lindy or Gumloop and accept the ceiling on custom logic; for an engineering team we use CrewAI or workflow-native agents in n8n and get determinism back. We repeat one point to every client: an agent that can act needs the same audit and human-in-the-loop guardrails as the automation it replaces, and that governance work is most of the real project. — Rafal Fila, ShadowGen

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