# Agenta vs AgentX

Agenta records 45,760 monthly visits with +29.5% month-over-month growth and Freemium pricing. AgentX records 35,826 monthly visits with -11.8% growth and Freemium pricing.

| Metric | [Agenta](https://openaitools.app/tool/agenta) | [AgentX](https://openaitools.app/tool/agentx) |
| :--- | :--- | :--- |
| Website URL | https://www.agenta.ai | https://www.agentx.so |
| Categories | AI Developer Tools, Prompt Engineering, Large Language Models (LLMs), AI Agent | AI Agent, AI Chatbot, AI App Builder |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 45,760 | 35,826 |
| MoM Growth Rate | +29.5% | -11.8% |
| Primary Market | United States | United States |
| Direct Visits | 17,206 | 14,362 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## Agenta

Agenta positions itself as an open-source workspace where teams build AI agents and AI co-workers rather than one-off prompts. You can start from pre-built agent templates, give an agent access to models and tools, and run it from a chat surface, Slack or Telegram so the work happens where your team already communicates. Agents can browse, read and write files, and run scheduled automations that trigger from your connected systems.

What sets Agenta apart is its focus on operational control. Agents connect to more than a thousand integrations and MCP servers, secrets live in a vault the agent can use but not read, and permissions and approval steps decide which actions run automatically and which need a human sign-off. Every run is logged with duration, token usage and cost, so you can trace why an agent produced a certain result and iterate on it with feedback.

For engineering teams, Agenta ships as MIT-licensed software you can self-host with Docker Compose or Helm, keeping agents and data on your own infrastructure with no vendor lock-in. A managed cloud option is available for teams that prefer not to run the stack themselves, and both share the same workspace concepts of agents, skills, sessions and automations.

**Pricing & Plans:** Freemium. The open-source edition is MIT-licensed and free to self-host; cloud access is offered alongside it, with a demo available for larger teams. Exact seat and usage limits are listed on the pricing page.

- **Agent and co-worker builder:** Assemble agents from templates or from scratch, give them models, skills and tools, and run them from a chat UI, Slack or Telegram.
- **MCP connections and 1,000+ integrations:** Wire agents into Notion, GitHub, HubSpot, Slack, Linear, Drive and more over MCP, and swap tools or skills without rewriting the agent.
- **Evaluations and run observability:** Score agent outputs, collect feedback and inspect every run with duration, token usage and cost logging so improvements are measurable.
- **Guardrails, approvals and a secret vault:** Decide which actions run unattended and which require approval, while credentials stay in a vault your agent can use but cannot read.
- **Self-hosting with MIT license:** Deploy the full workspace on your own infrastructure with Docker Compose or Helm charts and keep agents and data on-premises.

**Strengths:** Open-source and MIT-licensed, so it can be self-hosted without vendor lock-in; Connects to over a thousand tools and MCP servers instead of a fixed integration list; Built-in evaluation and full run logging with token and cost tracking; Approval gates and a secret vault keep agents within human control

**Limitations:** The workspace concept is broad, so new users need time to map it to their workflow; Self-hosting requires someone comfortable running containers and Helm charts; Some enterprise features are only fully explained after contacting sales

[Profile (Markdown)](https://openaitools.app/tool/agenta.md)

## AgentX

AgentX is built around a simple premise: most agent platforms stop at "build", and the hard parts begin after the prototype. The platform provides a drag-and-drop canvas where an orchestrator agent and its workforce members each get their own role, instructions, model, memory and tools, with branching logic and human handoff built in. You can bring your own model or use the ones AgentX supplies.

Evaluation sits at the center of the product. Agents run against test sets before deployment, regressions are tracked across versions, and runtime evaluations use LLM-as-judge scoring for continuous behavioural monitoring. Failures such as hallucinations or broken tool calls are surfaced before users encounter them, and a CI/CD gate lets teams block or promote a release based on measured quality rather than intuition.

For observability, AgentX ingests traces from frameworks including LangChain, CrewAI, the OpenAI Agents SDK, Anthropic and Google ADK into a single pipeline, so every agent decision is explainable and alertable in real time. Deployment is one-click to API, Slack, web widget, email or voice, with versioning, instant rollback, and the option of cloud or on-premises hosting with SOC 2-aligned controls for teams that need to keep data in place.

**Pricing & Plans:** Free to start with 200 credits on the Solo plan; Solo Builder is $49/month, Professional $199/month and Business $299/month, with no per-seat pricing. Custom, process-scoped pricing is available for managed builds. Check the official pricing page for current details.

- **Multi-agent orchestration:** Design drag-and-drop workflows where each agent has a defined role, instructions, model, memory and tools, with branching logic and human handoff.
- **Pre-deployment evaluation:** Run agents against test sets, score multiple runs per version and track regressions before anything reaches production users.
- **Runtime evaluation and monitoring:** LLM-as-judge scoring and 24/7 behavioural monitoring catch hallucinations and broken tool calls while the agent is live.
- **Framework-agnostic tracing:** Stream traces from LangChain, CrewAI, OpenAI Agents SDK, Anthropic or Google ADK into one pipeline for explainable agent decisions.
- **One-click deployment with rollback:** Publish to API, Slack, web widget, email or voice, with versioned releases, one-click rollback and cloud or on-prem hosting options.

**Strengths:** Covers the post-prototype gaps most agent builders ignore: evaluation, tracing and rollback.; Framework-agnostic tracing works with popular stacks such as LangChain, CrewAI and the OpenAI Agents SDK.; Clear published tiers from free up to $299/month, plus on-prem and white-label options.; Human-in-the-loop checkpoints and audit trails suit teams with security or compliance reviews.

**Limitations:** The evaluation-first workflow has a learning curve compared with simple no-code chatbot builders.; Managed builds are custom-scoped, so pricing is not fully transparent without a sales conversation.; Solo and small-team plans are credit-based, which can require monitoring as usage grows.

[Profile (Markdown)](https://openaitools.app/tool/agentx.md)

## Frequently Asked Questions

### How do Agenta and AgentX compare in monthly traffic?

Agenta has 45,760 monthly visits, while AgentX has 35,826. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agenta has a month-over-month growth rate of +29.5%; AgentX has -11.8%.

### How does pricing compare?

Agenta: Freemium. Freemium. The open-source edition is MIT-licensed and free to self-host; cloud access is offered alongside it, with a demo available for larger teams. Exact seat and usage limits are listed on the pricing page. AgentX: Freemium. Free to start with 200 credits on the Solo plan; Solo Builder is $49/month, Professional $199/month and Business $299/month, with no per-seat pricing. Custom, process-scoped pricing is available for managed builds. Check the official pricing page for current details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 3 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) |
| 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 5 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Put always-on AI agents on your team chat | [.md](https://openaitools.app/tool/lobehub.md) |
| 6 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |
| 7 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | A secure environment where teams build, deploy and govern AI agents, apps and automations | [.md](https://openaitools.app/tool/tines.md) |
| 8 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |
| 9 | [FlowHunt](https://openaitools.app/tool/flowhunt-io) | 186,190 | 0% | Free Trial, Paid | No-code AI agents and chatbots for marketing, SEO and support | [.md](https://openaitools.app/tool/flowhunt-io.md) |
| 10 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) |

---
Source: https://openaitools.app/compare/agenta-vs-agentx

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)