Cadenya
Paid
Developers building agentic workflows
Rails Agent
FreemiumOpen SourceAPIAgentic
Adding AI agents to a Rails app without Rails Agent means wiring up vector databases, queue workers, autoscaling, and monitoring yourself — before writing a single line of agent logic. Rails Agent packages that entire runtime into a gem and a hosted cloud, so the work that's left is the agent itself.
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Screenshots 1
Pricing
- Model
- Subscription
Summary
The platform generates a typed Ruby class per agent, living under app/agents/ in your existing Rails repo. Knowledge agents answer questions from your database and docs; workflow agents chain tool calls to update external systems like Google Sheets or HubSpot. The hosted runtime handles autoscaling, retries, and tracing — no pgvector, no Redis to provision. The structure stays idiomatic Rails, which means the ceiling appears when you need branching logic that doesn't map cleanly to a single agent type — that's when teams start reaching outside the scaffold.
Bottom line: Pick this to ship a support or workflow agent on top of an existing Rails app without standing up any infrastructure; plan a different architecture when your agent logic requires conditional branching across multiple agent types that the typed base-class model doesn't express.
Find your fit
Before you choose Rails Agent
More options in Agent Frameworks. Compare pricing, platforms, and features side by side.
Brain Memory
Free · Open source
Long-term continuity in multi-session coding projects
Pros
- Zero-infrastructure runtime: the hosted cloud handles autoscaling, retries, and vector storage out of the box, which means a Rails developer skips provisioning pgvector, Redis, and a worker fleet before writing any agent logic.
- Typed Ruby base classes per agent type, so the scaffold enforces the right architecture at creation time rather than letting structural mistakes accumulate across a growing agent directory.
- BYOK model keys billed directly to the developer's provider account, which means Rails Agent never sits in the billing path for model spend and you can swap providers with a credential change.
- Unified trace, log, error, and cost search in a single dashboard, so debugging a failed tool call doesn't require correlating logs across three separate services.
- One-click OAuth-managed connectors for external systems, which means workflow agents can push to Google Sheets or HubSpot without the team building and maintaining their own OAuth token refresh logic.
Cons
- No self-hosted runtime option: teams with data-residency requirements or air-gapped infrastructure cannot run the execution layer on their own servers, and the vendor docs describe no path to bring the cloud harness on-premises — teams in that situation evaluate frameworks like Langchain.rb or custom Sidekiq-backed agent loops instead.
- The typed base-class model (KnowledgeAgent, WorkflowAgent) covers the two documented patterns cleanly, but agents requiring conditional branching — where what the next step does depends on what the last step returned — have no documented scaffold; teams building that logic are writing outside the Playbook model and maintaining custom Ruby that the platform's structure doesn't guide.
- Cloud-only deploy means the platform's autoscaling and retry behavior is not configurable at the infrastructure level; teams that need fine-grained control over concurrency, timeout thresholds, or retry back-off policies are working with whatever the Rails Agent runtime exposes, not tuning the underlying workers directly.
About
- Platforms
- Ruby on Rails 6.1+, Ruby 3.2+, Cloud
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- August 14, 2026
Best For
Who it's for
- Rails developers adding agentic features
- Production monitoring and debugging of agents
- Teams using existing Rails apps for AI extensions
- Zero-config deployment with hosted runtime
What it does well
- Customer support agents answering queries from Rails database and docs
- Workflow agents updating external systems like Google Sheets on new orders
- Engineering triage connecting GitHub and Linear with app context
- Sales and ops automation using one-click connectors
Integrations
Frequently Asked Questions
- Is Rails Agent free?
- Rails Agent offers a free option alongside paid upgrades. Check the current allowances and terms before choosing a plan.
- Is Rails Agent open source?
- Yes. Rails Agent is open source.
- Does Rails Agent have an API?
- Yes. Rails Agent exposes a developer API. See the official documentation at https://rails-agent.com for details.
- What platforms does Rails Agent support?
- Rails Agent is available on: Ruby on Rails 6.1+, Ruby 3.2+, Cloud.
Curated lists that include this category
Adding AI agents to a Rails app means wiring up vector databases, queue workers, autoscaling, and monitoring yourself before writing any agent logic.
The platform generates a typed Ruby class per agent under app/agents/ in an existing Rails repo. Knowledge agents answer questions from the database and docs. Workflow agents chain tool calls to update external systems such as Google Sheets or HubSpot. The hosted runtime manages autoscaling, retries, and tracing with no pgvector or Redis to provision.
Key limits
The structure stays idiomatic Rails, but the ceiling appears when branching logic does not map cleanly to a single agent type. No self-hosted runtime option exists, so teams with data-residency needs must look elsewhere.
Who it is for / who should skip it
Rails developers adding agentic features to existing apps, teams that want production monitoring without managing infrastructure, and users already on Rails 6.1+ with Ruby 3.2+ benefit most. Teams needing self-hosted execution or complex conditional flows should skip it and evaluate Langchain.rb or custom Sidekiq loops instead. The typed base classes enforce architecture at creation time rather than letting mistakes accumulate later.
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