AgentX
No code platform to build, evaluate, and deploy multi agent workflows with tools, memory, RAG, and human handoff, shipped in one click to API, Slack, web, email, or voice.
AgentX is a no code platform for building and running multi agent workflows. Builders drag and drop agents with tools, memory, branching logic, and human handoff, ground them on a knowledge base of uploaded documents and websites using retrieval augmented generation, and bring their own model or use one of several cross vendor options such as ChatGPT, Gemini, and Claude.
Agents can be run against test sets before deploy to track regressions and catch hallucinations and broken tool calls, then shipped in one click to API, Slack, a web widget, email, or voice, with versioning, one click rollback, and logs and traces for every run. Plans span a free tier for solo builders, white label deployment for agencies serving clients under their own brand, a done for you managed option, and an enterprise tier; the marketing pages also advertise SOC 2 Type II, role based access control, and on premises deployment. Usage is priced in credits. The company is pre seed and backed by Plug and Play.
Vendor details
Canonical URL
https://www.agentx.so
Category
Agent builder
Funding status
Pre-seed, backed by Plug and Play. Co-founded by chief executive Xuelai Robin Wang, previously senior machine learning manager at Ripcord and founder and chief executive of LearningPal, which was acquired in 2022, and a machine learning PhD researcher; and chief technology officer Marcin Michalak, founder of dr Poket and named to Forbes 30 Under 30 Europe. The company positions itself on multi-agent evaluation and an enterprise-grade control plane rather than on connector breadth, which is consistent with the founders' enterprise machine learning background. Sold as subscription plans plus usage-based credits across Solo Builder, white-label agency, done-for-you managed and enterprise tiers, with no per-seat pricing.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
More than 1,000 integrations plus MCP and custom APIs and tools; deploy targets include API, Slack, Discord, web widget, email, voice, Shopify, WordPress, Wix, Squarespace, and Zapier.
In practice
An online store starts the Shopify Support Agent template in one click, grounds it in a private knowledge base built from its help documents and website, and puts it on the store's site through the web widget, with versioned deployments it can roll back instantly.
A support operations lead builds a team of agents in which an orchestrator delegates to specialists, creates a test dataset from real customer cases, and scores each new version with an LLM as a judge to catch regressions in accuracy before the version reaches production.
A finance team on the Enterprise plan runs AgentX on premise on dedicated infrastructure, starts the Invoice Processing Agent template on a schedule, and adds a human in the loop checkpoint so a person reviews the work before the workflow continues.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
12.0 / 14 capabilities · 86%
| Integrations & Tool Calling | Full |
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Agents get an execution layer of built in tools, custom functions, MCP integrations and deterministic workflow automation, with tools scoped per agent within a multi agent workforce. Through MCP the platform calls remote servers. AgentX advertises more than 1,000 integrations plus custom APIs and Zapier, but does not publish a list of those integrations by name. Sourceagentx.so product, home and enterprise pagesread 2026-08-31 |
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| Workflow Orchestration | Full |
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Builders design multi-agent workflows visually, with orchestrator agents delegating to specialists. Each member of a workforce carries a defined role, instructions, model, memory and tools, and the team produces the final answer, with multi-round reasoning and human-in-the-loop checkpoints at any step. Branching logic sits alongside deterministic workflow automation in the same execution layer, and chat-to-build lets a builder create and edit workflows conversationally. Deployments are versioned with one-click rollback. AgentX does not describe looping or parallel execution, or any failure or retry behavior when a specialist errors mid-workflow. Sourceagentx.so product and home pagesread 2026-08-31 |
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| Knowledge Grounding & RAG | Full |
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A Knowledge Layer gives every agent a private, searchable knowledge base with enterprise-grade retrieval, built from uploaded documents and websites, with the aim that agents retrieve the right information and cite it rather than guess. Knowledge is scoped per agent within a multi-agent workforce. AgentX does not name its embedding model, chunking strategy or re-indexing cadence, or say how website sources stay in sync. Memory is a separate per-agent building block. Sourceagentx.so product and home pagesread 2026-08-31 |
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| Human Oversight & Guardrails | Full |
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Human-in-the-loop checkpoints can sit at any step. A builder places them into a visual multi-agent workflow alongside tools and memory, and the workflow pauses at that point until a person acts. Human handoff is a separate workflow building block that gives the workflow a distinct exit path to a person. AgentX does not describe content filters, topic boundaries, spend limits or an action allowlist. Sourceagentx.so product and home pagesread 2026-08-31 |
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| Security, Identity & Governance | Partial |
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AgentX says it is SOC 2 Type II compliant and offers end to end encryption, role based access control and on premise deployment options. It has no trust center or way to request the report, and names no audit firm or observation period. Beyond that statement it publishes nothing on SSO, retention configuration or compliance. Sourceagentx.so enterprise and product pagesread 2026-08-31 |
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| Observability & Auditability | Full |
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Runtime Monitoring and Tracing is one of three headline capabilities, tracking every handoff, tool call and outcome in production, and every run produces logs and traces. Deployments are versioned with one-click rollback, and evaluation monitoring continues post-deploy. Real-time analytics cover agent performance and workflow efficiency. AgentX does not give a retention period, an export path to an external observability stack, or an example trace. Sourceagentx.so product, home and enterprise pagesread 2026-08-31 |
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| Memory & State Persistence | Partial |
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Memory is a per agent building block that sits alongside tools and human in the loop checkpoints in the visual workflow builder, and each member of a workforce carries its own role, instructions, model, memory and tools. AgentX does not say how long memory is kept, where it is stored, whether it persists across sessions or is keyed per user, how it accumulates, or how a team can inspect it. The Knowledge Layer is a separate grounding component. Sourceagentx.so product and home pagesread 2026-08-31 |
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| Deployment & Data Residency | Full |
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The Enterprise plan includes dedicated infrastructure and on-premise deployment, and AgentX offers on-premise deployment options alongside its cloud. There is no public installation guide or region list. Sourceagentx.so/pricing and agentx.so/mcp/enterpriseread 2026-09-29 |
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| Prebuilt Agents / Templates / Packs | Full |
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AgentX offers 21 named ready agents as templates across customer support, sales and outreach, document processing, research, social media, voice and internal tools, among them Website Support Agent, Shopify Support Agent, Email Outreach Agent, Invoice Processing Agent, Contract Reviewer, Competitive Intelligence Agent, Inbound Voice Agent and Meeting Scheduler, each marked simple or multi agent with its channels and a Use this template link that starts it in one click. Sourceagentx.so/resources/templatesread 2026-09-29 |
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| Triggers & Channel Coverage | Full |
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Scheduled triggers and webhook driven workflows start agents, and one click deployment puts an agent on an API, Slack, Teams, WhatsApp, a web widget, email or voice, with versioned deployments and instant rollback. Sourceagentx.so/productread 2026-09-29 |
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| Model Flexibility & Routing | Full |
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Any LLM works, either one the customer brings or one picked from the platform's list, with options across vendors including ChatGPT, Gemini and Claude. Model is a per-agent property, so each member of a multi-agent workforce can run its own, and evaluation with LLM-as-a-judge scoring across versions lets a team test a model change. AgentX does not describe automatic routing between models at runtime, names no providers beyond those three, and does not say which models each plan includes. Sourceagentx.so product and home pagesread 2026-08-31 |
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| APIs / SDKs / MCP Extensibility | Full |
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One click deployment to an API is the primary deployment target, so an external system can call any agent built on AgentX, and versioned deployments with instant rollback let callers pin a version. Developers extend agents with custom functions, custom skills per agent and custom APIs. The MCP integrations are the platform calling remote servers, and there is no MCP server that exposes AgentX agents to outside assistants. AgentX also publishes no API reference, endpoint list, authentication guide or SDK. Sourceagentx.so product and home pagesread 2026-08-31 |
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| Testing, Debugging & Optimization | Full |
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Teams test agents against real-world scenarios before production and track accuracy, regressions and failure modes across versions. Test datasets are created from real cases, evaluation runs carry auto-versioning and LLM-as-a-judge scoring, monitoring runs pre-deploy and continuously post-deploy, and each evaluation comes with AI-generated analysis of what to fix. Agent Evaluation and CI/CD is one of three headline platform capabilities. AgentX also offers a full evaluation program covering agent risk mapping, custom datasets, multi-run testing, performance benchmarks and deployment readiness assessment. Sourceagentx.so product, home and pricing pagesread 2026-08-31 |
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| Browser / Computer-use | Not documented |
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The execution layer consists of built in tools, custom functions, MCP integrations and deterministic workflow automation, all programmatic interfaces, alongside more than a thousand integrations and custom APIs. AgentX makes no claim to browser control, navigation, form filling, screen interaction, visual grounding, desktop automation, a scraping utility, code execution or a sandbox. Website ingestion into a knowledge base is one time content retrieval, not browsing. Sourceagentx.so product, home and enterprise pagesread 2026-08-31 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Free $0 (200 one-time credits, up to 5 agents); Solo Builder $49 a month ($490 a year, 5,000 credits); Professional $199 a month ($1,490 a year, 10,000 credits, white label); Business $299 a month ($2,990 a year, 20,000 credits); Enterprise custom; extra credits $10 per 1,000
Plan tier plus consumable credits by agent activity and model.
What is public
agentx.so/pricing now publishes every self-serve tier: Free ($0, 200 one-time credits, up to 5 agents), Solo Builder ($49 a month or $490 a year, 5,000 credits a month, up to 25 agents), Professional ($199 a month or $1,490 a year, 10,000 credits, white-label deployment, client workspaces, 2 seats plus $10 each), Business ($299 a month or $2,990 a year, 20,000 credits, unlimited agents, priority SLA) and Enterprise (custom, scoped per process, with a full agent evaluation program, SSO, dedicated infrastructure and on-premise deployment). Extra credits cost $10 per 1,000.
Cost watchouts
Credit burn on high message volume or frontier models, plus white label and managed plans, can raise cost well beyond the free tier.
Variable cost rationale
Paid usage is credit based and scales with agent activity, message volume, and model choice, so cost grows with adoption; a balanced model consumes fewer credits than a frontier one.
Sales call required
No, self serve available
Free / trial
Free forever with 200 one-time credits, up to 5 agents, one workspace and one seat, with multi-agent workflows and API access
Lowest paid plan
Solo Builder at $49 a month, or $490 a year
Key ambiguities
Several enterprise claims (SOC 2 Type II, on premises deployment, structured evaluation) appear on marketing pages and are not independently verified. Credit cost per action is not published, so total cost depends on usage.
Missing data
Enterprise pricing is scoped per process; credit cost per action is not published.
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Alternatives to AgentX
The closest documented capability profiles to AgentX among agent builders tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Airia12.0 / 14Matches AgentX across all 14 documented capabilities
- OutSystems12.5 / 14Fuller documented coverage on Security, Identity & Governance
- AutoGPT13.0 / 14Adds documented Browser & Computer Use
- Dify12.0 / 14Fuller documented coverage on Security, Identity & Governance
- Langflow12.0 / 14Fuller documented coverage on Memory & State Persistence
- Moveo.AI12.0 / 14Fuller documented coverage on Security, Identity & Governance
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded