Agentplace
FreemiumBuild, sell, and scale AI agents for Claude Code, Cursor, Codex
By Tanmay Verma, Founder · Last verified 03 Jul 2026
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Added 6d ago
77/100Safe BetIn short
Agentplace — Build, sell, and scale AI agents for Claude Code, Cursor, Codex. Best for Developers building AI coding assistants for Claude Code or Cursor, Teams deploying agents in coding environments with MCP, Solo builders creating shareable agent tools. Free to start; paid plans from $2915235/mo.
Is Agentplace actually worth it?
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Editorial Verdict
Best for
Developers building AI coding assistants for Claude Code or CursorTeams deploying agents in coding environments with MCPSolo builders creating shareable agent toolsEnterprises needing secure agent marketplace with SSOProduct managers iterating on agent UX with usage data
Not ideal for
Non-technical users with zero coding experienceThose needing on-premise deployment without Business planUsers looking for no-code website builders (non-agent focus)Teams requiring extensive pre-built integrations beyond MCPHeavy users who may exceed credit limits quickly
Great for devs who want to ship coding agents fast without managing infrastructure. The credit-based pricing works for light use but gets expensive at scale. Not for non-technical builders or those needing a general-purpose agent platform.
Compare with: Agentplace vs Draftbit, Agentplace vs OpenHands, Agentplace vs Cognition AI
Last verified: July 2026
What independent users actually report about Agentplace
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
17 mentions across 2 sources (Hacker News, Product Hunt).
63% positive37% critical
Recurring strengths
- +Fast agent creation from a single prompt — low barrier to start.
- +Supports multiple AI coding environments: Claude Code, Cursor, Codex.
- +MCP integration for connecting to any API or service easily.
- +In-builder testing lets you validate agents before publishing.
- +Usage analytics and failure-based feedback help iterate agents.
Recurring frustrations
- −Nearly no real user feedback beyond launch day congratulations.
- −Customization depth for non-developers is unclear — raised by PH users.
- −Platform lock-in risk: agents tied to Agentplace ecosystem.
- −No public data on reliability or production-scale performance.
- −Free-tier limits not disclosed — potential hidden usage caps.
Patterns worth knowing
Launch hype with low depth — many congratulate but few review seriously.
Seen on Product Hunt, Hacker News
Non-developer accessibility is a key question — multiple ask about programming skills needed.
Seen on Product Hunt
Customization limits are a growing concern for serious use.
Seen on Product Hunt
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
- • Usage-based overage fees beyond free tier limits (not publicly quantified)
- • API usage for MCP connections may incur third-party costs
Viability Score
77/100
Safe BetHow likely is Agentplace to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Prompt-based agent builder
- MCP integration for any API or database
- Pre-built skills library
- In-builder testing environment
- One-click publish to Claude Code, Cursor, Codex
- Usage analytics and feedback collection
- Iterative improvement loop from failures
- Public and private agent deployment
- Team collaboration (Business tier)
- GitHub Connect
- Support for OpenAI, Anthropic, Gemini models
About Agentplace
FreemiumIntermediateAPI availableWeb
Agentplace is a platform for creating AI-powered agents that deploy inside coding environments like Claude Code, Cursor, and Codex. It combines a builder, testing sandbox, and marketplace, letting developers turn prompts into agents with API connections via MCP. The platform supports OpenAI, Anthropic, and Gemini models, includes a pre-built skills library, and offers usage analytics to refine agents based on real failures. Agentplace positions itself as an end-to-end loop from creation to feedback-driven iteration. Freemium pricing starts with a free tier offering 2,000 credits; paid Pro plans scale from $29/month with up to 235k credits. Business plans add SSO, private cloud, and custom integrations. Ideal for developer-first teams, it competes with standalone agent frameworks by bundling hosting, distribution, and analytics into one workflow, though its heavy focus on coding environments limits appeal for non-technical users.
Behind the Verdict
Agentplace is built for a specific niche: developers creating agents that live inside coding tools like Claude Code and Cursor. If you're building a code review bot or a CLI assistant, it's a solid shortcut—you get a builder, testing, and marketplace in one. The free tier (2,000 credits) is generous for experimentation, and the Pro plans at $29/month (up to 235k credits) offer decent runway for small teams. The MCP integration is the standout feature: it lets agents connect to any API or database without manual setup, which saves hours. That said, the pricing is credit-based and can surprise heavy users who burn through credits quickly. The comparison is with frameworks like LangChain or CrewAI—those offer more control and are free, but you handle hosting, monitoring, and distribution yourself. Agentplace bundles that, but you pay for convenience. The UI is clean and the 'build in seconds' claim holds for simple agents. However, the lack of recent third-party news raises a flag—check if the platform is actively maintained. The business tier with private cloud is promising for enterprises but requires a call; no published pricing. Overall, pick Agentplace if your agents are coding-centric and you want to avoid DevOps. Pass if your agents need to handle general tasks (like customer support) or if you need a no-code builder for non-devs. The GitHub Connect and model flexibility (OpenAI, Anthropic, Gemini) are nice, but the ecosystem is narrowly focused on coding environments.
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Use Cases
- Build a code review agent that integrates with GitHub and deploys into Cursor
- Create an internal documentation agent connected to your company's API docs via MCP
- Launch a public agent on Claude Code that helps users debug Python scripts
- Iterate on a customer support agent by analyzing real failure data from user interactions
- Automate repetitive Git workflows with an agent that runs in Codex
- Test multiple prompt strategies for an agent before going live
Models Under the Hood
OpenAIAnthropicGemini
Limitations
- Free tier is restricted to 2,000 credits which may be consumed quickly with frequent agent tests or complex API calls.
- No publicly available context window or rate limit details.
- Pro tier credit increments at $29/month are not transparently explained per credit usage — users must estimate their own needs.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Integrations
Resources & Guides
Frequently Asked Questions
Tools that pair well with Agentplace
Common stack mates teams adopt alongside Agentplace, with the specific reason each pairing earns its keep.
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