Agentrq vs Locus Robotics

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionAgentrqLocus Robotics
PricingFreemium (self-hostable, open-source Apache-2.0)Contact (RaaS subscription)
Best ForSolo devs, AI agent teams, engineering leads managing coding agents3PL, high-volume eCommerce, retail/wholesale warehouses
Core TechnologyACP/MCP protocol, SSE notifications (<50ms), isolated agent workspacesAMRs + Locus Array Physical AI + LocusONE orchestration
Human RoleHuman-in-the-loop review/approval; bidirectional task assignmentAssociates collaborate with robots; robots handle travel, humans handle exceptions
DeploymentConnects in under 60 seconds, self-hostable, works on browser/phone/tabletRapid deployment without facility redesign, scalable from single workflow to enterprise
Latest NewsClaude Channels notifications, Codex Gateway, ACP Gateway, supervisor architecture (2026)No recent news captured
Agentrq
Agentrq

AgentRQ is a human-in-the-loop control plane that keeps Claude Code, Gemini CLI and other ACP agents waiting on your approval before they

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Locus Robotics
Locus Robotics

Locus Robotics delivers warehouse automation as a subscription: autonomous mobile robots plus LocusONE orchestration.

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Pricing
Freemium
Contact Sales
Plans
$0
Custom
Popularity
10 views
7.4k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Web
Web
Categories
🕸️ Agent Frameworks & Orchestration🤖 Automation & Agents
🦾 Robotics & Physical AI🚚 Supply Chain & Logistics
Features
Bidirectional task assignment between humans and agents via createTask
Isolated workspace with a dedicated MCP endpoint per agent
Supervisor MCP orchestrating a fleet of agents from one server
Native Claude Code <channel> push notifications through .mcp.json
acp-gateway connects 55 ACP-compatible agents with one command
ACP Gateway auto-discovers installed agents and the models each offers
AgentRQ for Chrome extension puts Claude Code terminals in the toolbar
Chrome extension bridges a site's WebMCP tools to local or remote agents
Visual task board in list or Kanban view with Cmd+K task search
Real-time updates over Server-Sent Events, no polling
Pano: shared markdown board every workspace's agents read and write
Workspace memory notes that outlive a task and load for every agent
Task Scheduling with one-time or recurring cron tasks
Events and Workflows chaining tasks across workspaces on a visual graph
Tool Call History with a searchable trajectory per run
Autonomous mobile robots (AMRs) for picking, putaway, replenishment, and transport
LocusONE orchestration platform assigns tasks across robots, people, and workflows
Locus Array: Physical AI robot-to-goods picking and consolidation in the aisle
Locus Origin and Locus Vector collaborative person-to-goods robots
Full autonomous workflows on Array: picking, putaway, replenishment, slotting, auto induct and drop-off
Mixed fleet deployments scaling from 10 bots to 1,000+ robots at one site
Reduces unproductive walking by up to 90% in collaborative picking, per vendor
Locus Array reports up to 90% lower labor costs and up to 2x storage density
Robots-as-a-Service subscription with deployment and 24/7 global support included
Quoted go-live under 90 days, with a 49-day deployment cited at S&S Activewear
API connectivity to 65+ WMS and ERP systems
Multi-level and mezzanine fulfillment without fixed infrastructure
Continuous putaway and replenishment with intelligent task interleaving
Real-time dashboards for productivity and performance management
Vendor-reported 99.9% pick accuracy and 2-3x productivity uplift
Integrations
Claude Code
Gemini CLI
OpenAI Codex
Cursor
GitHub Copilot
OpenCode
OpenHands
Cline
Kimi CLI
Qwen Code
Google Antigravity
Goose
Junie
Factory Droid
Slack
SAP EWM
Manhattan Associates
Blue Yonder
Oracle
Microsoft Dynamics 365
NetSuite
Infor
Körber

What real users say: Agentrq vs Locus Robotics

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Agentrq

12 mentions across 4 sources · 43% positive — mixed (averaged across 4 sources)

Hacker News, Product Hunt, Bluesky, GitHub

What users praise

  • • Bidirectional task assignment between humans and agents is genuinely novel.
  • • Real-time SSE notifications under 50ms are fast and responsive.
  • • Open-source (Apache-2.0) and self-hostable gives full control.
  • • Free beta with no credit card required lowers adoption risk.

What frustrates them

  • • API inconsistency between REST and MCP cron validation causes confusion.
  • • No native multi-agent routing across workspaces limits complex workflows.
  • • Potential for spam abuse reported on Bluesky; no safeguards visible.
  • • Limited community feedback outside HN and GitHub; support is minimal.

Researched Jul 6, 2026

Locus Robotics

15 mentions across 2 sources · 53% positive — mixed (weighted across 2 sources)

YouTube, Lemmy

What users praise

  • • Operators running the robots report genuinely positive capabilities in daily warehouse use.
  • • Named enterprise deployments at DHL, Ulta Beauty, and S&S Activewear validate the platform at scale.
  • • RaaS subscription model keeps capex low versus fixed automation like AutoStore grids.
  • • API connects to 65+ WMS and ERP systems, including SAP EWM and Manhattan Associates.

What frustrates them

  • • Public user reviews are extremely sparse — no Reddit, HN, or Trustpilot data at all.
  • • Detractors argue robots can slow down experienced pickers versus peak human performance.
  • • Users repeatedly ask how item removal is confirmed against inventory, with no clear answer.
  • • Alternate locations are not supported, limiting flexibility for complex slotting logic.

Researched Oct 14, 2026

Who should pick which

  • 3PL warehouse manager
    Pick: Locus Robotics

    Locus Robotics provides AMRs and Physical AI to boost picking productivity 2-3x, integrate with major WMS, and handle fluctuating order volumes without facility redesign.

  • Solo developer using Claude Code
    Pick: Agentrq

    Agentrq offers free, self-hostable human-in-the-loop task management with real-time notifications, isolated workspaces, and quick setup (under 60 seconds).

  • High-volume eCommerce fulfillment center
    Pick: Locus Robotics

    Locus robots reduce travel time and improve picking efficiency by 2-3x, with dynamic adaptation to order profiles and demand spikes.

  • Engineering lead managing multi-agent coding fleet
    Pick: Agentrq

    Agentrq's supervisor architecture, bidirectional task assignment, and visual dashboard enable oversight of multiple agents running in parallel.

  • Retail distribution with multi-level facilities
    Pick: Locus Robotics

    Locus Robotics supports multi-level mezzanine management and adaptive point-to-point transport, ideal for complex retail warehouses.

Frequently Asked Questions

Can Locus Robotics be used for small warehouses?

It's not recommended for small warehouses with low daily order volumes because the RaaS costs may not justify the ROI.

Is Agentrq free to use?

Yes, Agentrq is freemium and open-source (Apache-2.0), so you can self-host the core platform at no cost.

Does Locus Robotics integrate with my existing WMS?

Yes, it integrates with major WMS like SAP EWM, Manhattan Associates, Blue Yonder, Oracle, and many others.

What agents does Agentrq support?

Agentrq supports Claude Code, Gemini CLI, OpenAI Codex (via Codex Gateway), and any ACP-compatible agent.

What is YOLO mode in Agentrq?

YOLO mode allows auto-approval of trusted tool calls, reducing manual oversight for repetitive tasks.

How fast are Agentrq notifications?

Notifications use Server-Sent Events with under 50ms latency, eliminating polling.

What is Locus Array?

Locus Array is Physical AI for Robots-to-Goods fulfillment, enabling autonomous picking, putaway, slotting, and more.

Can I deploy Agentrq on-premise?

Yes, Agentrq is self-hostable under the Apache-2.0 license, though setup may require some technical effort.

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Last reviewed: July 6, 2026