AgentPort vs KeepAI: Which is Better in 2026?
A comprehensive comparison of AgentPort and KeepAI covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose AgentPort if:
- →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 KeepAI if:
- →You want more affordable paid plans (from $5/mo)
- →You need one control layer across all agents and apps or fine-grained scoping beneath coarse app permissions
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AgentPort vs KeepAI: At a Glance
Pricing Comparison: AgentPort vs KeepAI
Understanding the pricing differences between AgentPort and KeepAI is crucial for making the right choice. Here's how their plans compare side by side.
KeepAI Pricing
💡 Pricing takeaway: Both AgentPort and KeepAI 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 KeepAI stacks up.
What Makes Each Tool Unique
🔵 Unique to AgentPort
Features available in AgentPort but not in KeepAI:
- ✓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 KeepAI
Features available in KeepAI but not in AgentPort:
- ✓One control layer across all agents and apps
- ✓Fine-grained scoping beneath coarse app permissions
- ✓Approval gates on sensitive actions
- ✓One-click revocation per agent
- ✓Real-time approval and violation notifications
- ✓Credentials stay local, connections end-to-end encrypted
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: KeepAI
KeepAI is a local API hub that puts a permission boundary between AI agents and the apps they connect to. The problem it targets is access sprawl: each agent needs its own keys, permissions live in different dashboards, pausing a misbehaving agent means chasing API keys across apps, and what works with one agent and one app becomes unmanageable with several of each. KeepAI sits in the middle instead — you connect Gmail, Notion, Dropbox, HubSpot, Trello, GitHub or Airtable once, then decide per agent what each one may do. Because most app OAuth scopes are coarse, KeepAI narrows them further; sensitive actions can be forced through an explicit approval step while routine ones run unattended; real-time notifications tell you when an agent requests approval or trips a blocked action; and an activity log records exactly what each agent did and when. Access to any agent can be revoked in one click rather than by hunting through provider dashboards. The security posture is the pitch: the project is open source, credentials and tokens stay on your own devices, agent connections are end-to-end encrypted, and no sign-up is required to start. It works with OpenClaw, Claude, Codex and other agent runtimes, and is currently in open beta with launch pricing locked for the life of the subscription.
Ideal use cases:
- •Teams or individuals who need one control layer across all agents and apps
- •Teams or individuals who need fine-grained scoping beneath coarse app permissions
- •Teams or individuals who need approval gates on sensitive actions
- •Teams or individuals who need one-click revocation per agent
- •Anyone focused on agents workflows
- •Anyone focused on permissions workflows
🤖 Other AI Agent Infrastructure Tools to Consider
AgentPort and KeepAI 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 KeepAI?
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 KeepAI provides 6 features including One control layer across all agents and apps and Fine-grained scoping beneath coarse app permissions. AgentPort uses a freemium model with a free tier, while KeepAI is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is AgentPort cheaper than KeepAI?
KeepAI is cheaper, starting at $5/month compared to AgentPort's $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 KeepAI together?
Yes, many users combine AgentPort and KeepAI in their workflow. AgentPort excels at mcp server and cli entry points for any agent, while KeepAI shines with one control layer across all agents and apps. 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 KeepAI?
While both are ai agent infrastructure tools, AgentPort emphasizes mcp server and cli entry points for any agent, whereas KeepAI is known for one control layer across all agents and apps. The best choice depends on your specific workflow and feature priorities.
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