"Build your AI engineering system"
Typical plan: $32 / month
- Favorites
- 0
- Pricing
- $1 – $149 / month
- Platform
- Web App / Plugin/Integration
- Data status
- Verified listing
Overview
AgentKit (formerly ClaudeKit) is a foundation for an AI engineering system: ready-made agents, skills and workflows for planning, implementation, testing, review and shipping, which teams customize to how they work. It runs on coding agents such as Claude Code, Codex, Cursor and Antigravity and offers a 14-day refund guarantee.
Key Features
Code completion & suggestions
AgentKit understands context across files, making suggestions that fit your codebase. AgentKit is most useful when routi
Developer-friendly API
Official API docs and clear auth flows—ideal for custom automations.
Automation-first workflows
AgentKit coordinates processes across teams so automation handles repetitive tasks.
Campaign coordination
Growth teams move faster when messaging, assets, and analytics live together. AgentKit is positioned for marketing workf
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About AgentKit
“Build your AI engineering system”
AgentKit Snapshot
Key facts we track so you can judge fit before visiting the provider.
- Primary category
- Code Assistance
- Best fit
- Software Developers, Marketing Professionals
- Platforms
- Web App, Plugin/Integration
- Pricing signal
- Subscription - $1 – $149 / month
- Provider context
- Claudekit
- Known integrations
- Discord, GitHub, Stripe, Anthropic
- Developer access
- API documentation
- Data handling
- Privacy policy linked
Before you choose AgentKit
- Confirm AgentKit's current limits, renewal terms, and seat pricing on the official site.
- Review privacy, retention, and data-processing terms before using sensitive data.
- Test the integrations or API path against one real workflow before rollout.
- Make sure the supported platform matches where your team actually works.
Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.
How AgentKit Works
Understanding the core functionality and approach of AgentKit.
Developers use AgentKit to accelerate coding tasks without leaving their editor. The API and SDKs make it easy to build custom integrations and automations. Native connectors for Discord, GitHub, and Stripe reduce manual data entry in AgentKit.
Key Features
Explore what makes AgentKit stand out.
Code completion & suggestions
AgentKit understands context across files, making suggestions that fit your codebase. AgentKit is most useful when routine operations can be clearly defined and checked after execution.
Developer-friendly API
Official API docs and clear auth flows—ideal for custom automations.
Automation-first workflows
AgentKit coordinates processes across teams so automation handles repetitive tasks.
Campaign coordination
Growth teams move faster when messaging, assets, and analytics live together. AgentKit is positioned for marketing workflows such as campaign work, content operations, or performance review.
Use Cases
Discover how different audiences leverage AgentKit.
Debug and refactor faster
Generate unit tests, documentation, and API clients automatically from existing code.
Accelerate development
Engineering keeps ownership of customization while leveraging managed AI capabilities.
Automate repeatable work
Workflows trigger automatically so stakeholders focus on higher-value work.
FAQ about AgentKit
What is AgentKit and what does it do?
How much does AgentKit cost?
Is AgentKit secure and compliant with data privacy regulations?
What platforms does AgentKit support?
Who develops and maintains AgentKit?
How do I get access to AgentKit?
How is usage measured and billed in AgentKit?
What deployment options does AgentKit offer?
Who is AgentKit best suited for?
Does AgentKit receive regular updates?
Compare Similar Tools
See how AgentKit stacks up against similar alternatives in the market.
Claude
Your trusted AI collaborator for coding, research, productivity, and enterprise challenges
Keep AgentKit's listing accurate
Providers can update product facts, pricing context, screenshots, and launch notes. Paid placements are labeled separately and do not replace editorial or data-quality review.
How to Evaluate AgentKit
Compare AgentKit with GitHub Copilot, Jasper, Surfer and other alternatives before you decide. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.
- Step 1Test AgentKit with one real workflow before moving important work into it.
- Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
- Step 3Verify the integration path with your existing stack before you commit.
- Step 4Review privacy, retention, and compliance terms before using sensitive data.
Review the API documentation for auth, rate limits, errors, and export behavior. For broader context, browse more code assistance tools for software developers, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.
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