Slaunt
control what AI agents can access, do, and execute
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What is Slaunt?
Slaunt is an agent management and workspace intelligence platform that provides shared context, activity monitoring, task routing, and control systems for teams working with AI agents. It creates a unified workspace layer where humans and agents collaborate with shared memory, real-time visibility, and safety controls.
Slaunt pricing
Pricing model: Freemium
Slaunt pros
- Unified workspace memory capturing conversations, agent activity, decisions, and multi-tool integrations (GitHub, Slack, Linear, MCP)
- Comprehensive agent safety and control: spend limits, tool access restrictions, approval workflows, and remote agent termination
- Intelligent task routing and workflow optimization with auto-routing, handoff management, and SLA tracking
- Real-time activity monitoring, audit trails, and context visibility for both humans and agents
Slaunt cons
- No explicit free tier or transparent pricing displayed on homepage
- Requires setup and integration with existing tools to deliver full value
- Approval workflows and oversight features may slow autonomous agent decision-making
Frequently asked questions about Slaunt
What integrations does Slaunt support?
GitHub, Linear, Slack, and MCP servers, with additional integrations available.
How does Slaunt prevent runaway agents?
Through spend caps, tool access restrictions, approval requirements for writes, remote monitoring, and the ability to immediately kill running agents.
What is the 'Context' feature?
Context is canonical work memory that ingests and stores workspace decisions, agent actions, conversations, and events into a queryable, live log accessible to both humans and agents.
Can agents operate autonomously?
Yes, with configurable auto-routing (the example shows 68% auto-routed), but specific operations can require human approval before execution.