Swamp Club
Swamp Club provides a behavior-centric automation platform that turns AI agent problem-solving into repeatable, versioned workflows. The platform captures proven agent responses as validated models, enabling deterministic execution, encrypted credential management, and full audit trails for production use. It reports over 359 million automation events processed and more than 1,800 shared repeatable behaviors.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI agents often solve a problem once and then lose the exact steps they took, making solutions unrepeatable and preventing teams from learning from them. Results are difficult to share, and there is no reliable audit trail to prove what the agent actually did, especially in regulated or high-stakes environments.
Solution
Swamp Club is an AI-built automation platform that captures proven agent responses into validated, versioned models, turning one-off problem solving into repeatable workflows. Users describe a problem, and the agent authors a Swamp model that encodes the exact steps, which can then be chained into workflows, scheduled, or triggered by webhooks. Every run is recorded with inputs, outputs, and intermediate steps, creating an immutable and searchable history. Encrypted credentials are injected at runtime, ensuring the agent can access real systems without ever exposing keys in prompts. Teams can publish automations to a shared library, allowing anyone to reuse them with full access controls and audit trails.
Target Audience
Primary users are engineering, infrastructure, security, data, and support teams that need AI agents to perform repeatable, auditable operations on real systems, including SRE, cyber recovery, data analytics, and customer support functions.
Features
- Versioned and validated Swamp models that encode agent workflows for consistent execution
- Run history with immutable, searchable logs of inputs, outputs, and every step in between
- Encrypted credential vault that injects secrets at runtime and keeps them out of agent prompts
- Workflow orchestration with scheduling, webhook triggers, and chained multi-step automation
- Shared automation library where team-built models can be published and reused
- Extension registry for publishing and consuming models, drivers, vaults, and reports under independent licenses, with quality scoring and submitter-controlled license terms
- Access controls and audit trails for team-wide deployment of workflows