AgentPort vs IronClaw: Which is Better in 2026?
A comprehensive comparison of AgentPort and IronClaw covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose AgentPort if:
- →You want more affordable paid plans (from $12/mo)
- →You need mcp server and cli entry points for any agent or dozens of built-in connectors including linear, slack, github, notion and stripe
Choose IronClaw if:
- →You need a broader feature set (7 features vs 6)
- →You need runs inside a trusted execution environment or encrypted credential vault with per-endpoint allowlists
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AgentPort vs IronClaw: At a Glance
Pricing Comparison: AgentPort vs IronClaw
Understanding the pricing differences between AgentPort and IronClaw is crucial for making the right choice. Here's how their plans compare side by side.
IronClaw Pricing
💡 Pricing takeaway: Both AgentPort and IronClaw offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from AgentPort and IronClaw stacks up.
What Makes Each Tool Unique
🔵 Unique to AgentPort
Features available in AgentPort but not in IronClaw:
- ✓MCP server and CLI entry points for any agent
- ✓Dozens of built-in connectors including Linear, Slack, GitHub, Notion and Stripe
- ✓Per-tool allow, deny and human-approval policies
- ✓Advanced rule-based filtering on individual tool calls
- ✓Complete audit logs of every tool call and approval chain
- ✓Open source and self-hostable, with a managed cloud in beta
🟣 Unique to IronClaw
Features available in IronClaw but not in AgentPort:
- ✓Runs inside a Trusted Execution Environment
- ✓Encrypted credential vault with per-endpoint allowlists
- ✓Model never reads raw secrets
- ✓Rust runtime, open source
- ✓Connectors for Gmail, Calendar, Drive, GitHub, Slack, Telegram, Signal and Linear
- ✓Arbitrary MCP server support
- ✓Builds new tools and connectors on demand
Use Case Recommendations
Best for: AgentPort
AgentPort is an open-source security gateway that sits between AI agents and the tools they call, so an agent's access to production systems is governed by policy rather than by whichever API keys happened to end up in its environment. Agents connect through either an MCP server or a CLI, and from there reach Linear, Slack, GitHub, Notion, Stripe and dozens of other connectors that ship out of the box, plus any additional MCP server or REST API you point it at. The control layer is where the value sits: you define which tools a given agent may call outright, which require a human approval before execution, and — for the more cautious — advanced rule-based filtering that can gate on the shape of the call rather than just its name. Every tool call and every approval chain is written to an audit log, which turns an agent's behaviour from something you infer from outcomes into something you can read after the fact. This is the missing piece in most agent deployments: the agent framework decides what to attempt and the credential decides what is possible, with nothing in between. Deployment is either self-hosted from the open-source repository on your own infrastructure, or a managed cloud service currently in beta. AgentPort is built by Skald Labs, based in San Francisco.
Ideal use cases:
- •Teams or individuals who need mcp server and cli entry points for any agent
- •Teams or individuals who need dozens of built-in connectors including linear, slack, github, notion and stripe
- •Teams or individuals who need per-tool allow, deny and human-approval policies
- •Teams or individuals who need advanced rule-based filtering on individual tool calls
- •Anyone focused on agents workflows
- •Anyone focused on mcp workflows
Best for: IronClaw
IronClaw is an open-source personal AI agent built by the NEAR Foundation whose distinguishing claim is where the secrets live. The agent runs inside a Trusted Execution Environment — deployable in one click on NEAR AI Cloud or self-hosted locally — and credentials go into an encrypted vault that injects them into outbound requests against an allowlist, so the model itself never sees the raw API key, token or password. That design directly targets the failure mode that makes people wary of handing an agent their inbox and their cloud accounts: a prompt injection that convinces the model to exfiltrate whatever credentials it can read. The runtime is Rust, and the site publishes the vault and enclave code paths rather than only describing them. Functionally it is a general assistant with connectors for Gmail, Google Calendar, Drive, Docs, Sheets and Slides, GitHub, Slack, Telegram, Signal, Discord, Linear and web search, plus arbitrary MCP servers, and it builds new tools and connectors on the fly when asked instead of requiring a pre-built integration. The published recipes are the ordinary-but-useful kind — morning inbox triage into Action/FYI/Ignore with drafted replies, a daily briefing, meeting prep ten minutes ahead, keyword monitoring across Hacker News and the web, deployment health checks, GitHub release summaries, invoice parsing into a spreadsheet.
Ideal use cases:
- •Teams or individuals who need runs inside a trusted execution environment
- •Teams or individuals who need encrypted credential vault with per-endpoint allowlists
- •Teams or individuals who need model never reads raw secrets
- •Teams or individuals who need rust runtime, open source
- •Anyone focused on open-source workflows
- •Anyone focused on agent workflows
🤖 Other AI Agent Infrastructure Tools to Consider
AgentPort and IronClaw aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is AgentPort better than IronClaw?
It depends on your needs. AgentPort offers 6 key features including MCP server and CLI entry points for any agent and Dozens of built-in connectors including Linear, Slack, GitHub, Notion and Stripe, while IronClaw provides 7 features including Runs inside a Trusted Execution Environment and Encrypted credential vault with per-endpoint allowlists. AgentPort uses a freemium model with a free tier, while IronClaw is open-source with free access available. Choose based on which features and pricing model align with your requirements.
Is AgentPort cheaper than IronClaw?
IronClaw doesn't have standard paid plans, while AgentPort starts at $12/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use AgentPort and IronClaw together?
Yes, many users combine AgentPort and IronClaw in their workflow. AgentPort excels at mcp server and cli entry points for any agent, while IronClaw shines with runs inside a trusted execution environment. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between AgentPort and IronClaw?
While both are ai agent infrastructure tools, AgentPort emphasizes mcp server and cli entry points for any agent, whereas IronClaw is known for runs inside a trusted execution environment. The best choice depends on your specific workflow and feature priorities.
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