Access model
Technical accelerator for agentic POCs or customer experimentation environments.
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Autonomous agents
Lab / accelerator
Local Agent
Reproducible workspace for local agents, workflows and integrations.
Local Agent provides an experimental base for building autonomous agents with a reproducible environment, monitoring dashboard, triggerable workflows, integrations and centralized logs.
LangGraphDashboardWorkflowsIntegrations
robinswood-io/local-agent
Local Agent
No public screenshot available
No verified public visual interface is available for this application at this stage. We therefore do not show a generic mockup.
For whom
Teams that want to prototype local agents, email workflows, integrations and observability.
Maturity
Documented technical base, suited to experiments and supervised pilots.
Product screenshots
Local Agent en images
Real screenshots from verified public instances or artifacts. When no reliable capture is available, the page says so explicitly.
Local Agent
No public screenshot available
No verified public visual interface is available for this application at this stage. We therefore do not show a generic mockup.
Use cases
- Agentic POC
- Email processing
- Internal workflows
- Agent observability
Features
Real-time dashboard
Start and stop agents
Workflow triggers
Integration statuses
Centralized logs
Local Docker stack
Technical stack
LangGraphPythonDockerPostgreSQLMinIOMonitoring dashboard
LangGraph agent workspace · local reproducible environment
Robustness signals
- Detailed README
- Ubuntu, Debian and macOS support
- Monitoring API and dashboard services
- Documented Docker workflow
Live GitHub changelog
robinswood-io/local-agent
Latest commits fetched server-side from GitHub when the page is rendered.
Refreshed
22 juin 2026, 15:28
GitHub changelog not public
The repository is private, not publicly reachable, or GitHub rejected the request. Tracking can be enabled with a server-side GitHub token.
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Explore a Local Agent pilot
Frame the priority flow, users, data and deployment model before buying or adapting the application.