Slaunt is an all-in-one agentic AI solution that turns scattered work signals into structured, queryable context. It creates organizational memory that both humans and AI can reason from using the Central Context Repository (CCR).

How does Slaunt integrate with AI tools?

Slaunt uses the MCP (Model Context Protocol) to integrate with AI assistants and tools like ChatGPT, Claude, Cursor, and custom AI agents, providing them with structured organizational context for better reasoning and decision-making.

Is Slaunt free to use?

Yes! Slaunt offers a free Starter tier for individuals and small teams with core features. Professional ($29/seat/month) and Enterprise tiers are available for larger organizations with advanced needs.

QUAERO is Slaunt's Remote Company Agent Control (RCAC) system for enterprise AI governance. It provides centralized management, monitoring, and control of AI agents across your organization.

What is the MCP Protocol?

MCP (Model Context Protocol) is a standard protocol for AI tool connectivity that Slaunt natively supports. It allows AI assistants to access structured organizational context and perform actions within your workflow.

How is Slaunt different from Notion or Confluence?

Unlike traditional documentation tools, Slaunt is built AI-first with structured, queryable context rather than static documents. It provides real-time organizational memory that AI can reason from, not just search.

QUAERO ONLINE||2 agents running|org: acme-corp

slaunt / rcac

quaero.

Remote Company Agent Control. One place to see, steer, and stop every AI agent running across your organization.

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QUAERO / AGENT_ROSTER2 ACTIVE

live

NAME

OWNER

CURRENT TASK

STARTED

agt_9f2a

claude-ops-1

eng-team

Refactoring auth module

14m ago

agt_3c7b

gpt-analyst

data-team

Quarterly report generation

2m ago

agt_1e4d

codex-review

devops

Security audit scan

1h ago

agt_8a2f

claude-support

cs-team

Processing ticket backlog

32m ago

agt_5b9c

internal-bot

ops

DB migration script

3h ago

5 agents total — org scope: acme-corpspawn_agent ›

Without Quaero

Agents are fragmented.

One agent in Claude, one in ChatGPT, one in an internal script

No unified visibility across tools or teams

No consistent controls or lifecycle management

Weak auditability — who owns what, who approved it

Context lost on process restarts

With Quaero

Agents become manageable.

Live roster of every agent across every tool

Owner and team attribution on every session

Central logs, status, and current task for each agent

Policy-based lifecycle controls — start, steer, stop

Org-scoped isolation: your agents, your data, always

Architecture

Four guarantees. One control plane.

Observability

Live roster of every active agent across all tools. Know what is running, who owns it, and what it is doing — in real time.

100%

visibility

Controllability

Start, message, interrupt, or kill any agent from a single control plane. No more hunting through chat windows.

<50ms

response time

Accountability

Every agent is tied to an owner and team. Audit logs capture the full lifecycle of every action taken.

Full

audit trail

Governance

Policy-based lifecycle controls and org-scoped isolation ensure agents only access what they are authorized to touch.

Zero

cross-tenant leakage

Core Operations

Seven primitives. Complete control.

Quaero exposes a clean API surface for the full agent lifecycle. Every operation is authenticated, org-scoped, and logged.

View API Reference

spawn_agent

Launch a new agent with task definition and ownership context

list_agents

Enumerate all agents within org scope with status and metadata

get_logs

Retrieve full execution logs and output for any agent session

send_message

Inject a message mid-execution to steer agent behavior

interrupt

Pause an agent cleanly, preserving state for resumption

kill

Terminate an agent immediately, flushing all pending work

get_result

Fetch the final output and result status of a completed agent

Use Cases

Built for every role.

Engineering Teams

Run many concurrent automation flows with full visibility into which agents are in flight, what they are doing, and how to steer them.

Concurrent flow management

Mid-task steering via send_message

Retry failed automations instantly

IT & Operations

Enforce governance policies across every AI tool in your stack. Set lifecycle rules, control concurrency, and maintain a clean audit trail.

Policy-based lifecycle controls

Concurrency and timeout controls

Full org-scoped audit logs

Security & Compliance

Tenant-isolated execution and storage ensures zero cross-org leakage. Every agent action is traceable to an authenticated identity.

Supabase + RLS tenant isolation

Identity-bound agent sessions

Immutable execution logs

Architecture

Persistent, federated, isolated.

Quaero maintains in-memory state for fast live operations and a persistent registry for durability across restarts. Optional federated backends extend visibility to external agent systems.

In-memory state

Fast live ops — sub-50ms response

Persistent registry

Durability across process restarts

Scheduler / executor

Timeouts, concurrency, retries

Federated backends

External agent system visibility

Supabase + RLS

Tenant-isolated CCR storage

Identity & Isolation

Org-scoped by default.

Every request is tied to an authenticated identity. Org context is resolved from JWT claims — agent visibility and controls are strictly scoped to your organization.

JWT_CLAIMS → ORG_CONTEXT → AGENT_SCOPE

subuser_8f2a91bc

org_idacme-corp

roleagent:admin

scopeagents:read agents:write

tenant_rlsenforced

Get Access

take control.

Quaero is available as part of the Slaunt platform. Request access today and bring your AI agents under a single operational command.

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