Autonomous agent execution
Run autonomous agents with goal-driven execution, swarm capabilities, and agent voting systems from the Agent Console.
DevSwat
DevSwat is an agentic AI infrastructure platform for building, running, and scheduling autonomous AI agents. It combines a browser-based IDE, personalized chat, code analysis, workflows, and governance, with support for local tools and cloud LLM providers.
What DevSwat is
DevSwat is an agentic AI infrastructure platform for building, running, and scheduling autonomous AI agents. The site positions it as a developer-focused system that combines an AI-powered IDE, personalized chat, code analysis, workflows, and governance in one environment.
Its pricing and policy pages show a platform that supports local and cloud workflows: OpenClaw tools run on the user’s machine, cloud LLM providers can be connected, and paid plans add higher usage limits, support options, and enterprise deployment paths such as self-hosted or on-prem options for larger customers.
Core capabilities
Browser-based IDE and compute
Use the browser-based IDE for development with secure sandboxes, live previews, and AI pair-programming.
Personalized chat with routing and logs
Build persistent AI conversations with evidence graphs, auditing, and logging for each action.
Workflows and scheduling
Create visual workflow automation with scheduling, error handling, and SLA-backed execution.
Governance and rollback controls
Apply RARA governance controls such as kill switch, invariant enforcement, snapshot and rollback, and policy-based permissions.
Code analysis and visualization
Generate AST-based analysis, dependency graphs, and interactive code visualizations for understanding codebases at scale.
Common ways teams use DevSwat
Interactive development in the browser
Developers can use the browser-based IDE to write, test, and preview code in secure sandboxes with AI pair-programming support.
Automated agent operations
Teams can run autonomous agents for goal-driven tasks, including multi-agent workflows that rely on swarm execution and voting.
Workflow automation and scheduling
Organizations can design scheduled workflows with error handling and SLA-backed execution for repeatable tasks.
Codebase understanding and analysis
Teams reviewing larger codebases can generate AST analysis and dependency graphs to map relationships and visualize structure.
Controlled deployment of AI agents
Groups that need tighter control can use governance features like kill switch, rollback, and permissions to manage agent behavior.
Pros and Cons
Pros
- Combines agent execution, IDE tools, chat, workflows, and governance in one platform.
- Supports both local and cloud-oriented use, including local OpenClaw tools and cloud LLM providers.
- Pricing is published with a free tier and paid plans, which reduces initial uncertainty.
- Paid plans include explicit support and deployment options, including enterprise self-hosting paths.
Cons
- Feature detail is still partial on the public site, so setup steps and integration breadth are not fully documented.
- Some advanced capabilities are only described at a high level, which makes it harder to compare implementation details across plans.
FAQ
Does DevSwat have a free plan or trial?
DevSwat offers a free tier with limited usage across features, plus paid plans for extended or full access. The pricing page also lists a custom Enterprise option.
Which pricing plans are available?
According to the pricing page, paid plans include plans such as Plus and Business, and the Terms of Service also mention a Developer plan. The site indicates that some plans include all LLM providers, priority support, and rollover credits, depending on plan.
How does DevSwat handle local data and privacy?
The privacy policy says OpenClaw tools run on your machine, and that the server only receives the tool name, execution timing, and final answer text. The same policy says cloud LLM provider messages are sent to the provider’s API, while Ollama can be used locally for maximum privacy.
Who owns the content and is responsible for agent actions?
The site says content you create using DevSwat belongs to you. However, you are responsible for the actions of any agents you create and run on the platform.
Quick Facts
- Category
- Agentic AI infrastructure
- Platform
- Web-based
- Primary users
- Developers and teams building AI agents
- Pricing model
- Free tier plus paid plans
- Domain
- dev-swat.com
- Deployment options
- Cloud, self-hosted, and enterprise on-prem options
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