
Persistent AI coworkers for Slack and Microsoft Teams
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
WorkClaw — Persistent AI coworkers for Slack and Microsoft Teams. Best for Teams wanting persistent AI coworkers inside Slack/Teams with no coding, Operations teams automating cross-functional workflows like scheduling and follow-ups, Product teams reducing admin and coordination overhead. Free to start; paid plans from $29/mo.
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If your team lives in Slack or Teams and you want capable, persistent AI agents without writing code, WorkClaw delivers. The credit system is transparent but needs monitoring. Best for teams ready to experiment with multi-agent workflows.
Compare with: WorkClaw vs Obviously AI, WorkClaw vs AutoGen Studio, WorkClaw vs Recruitee
Last verified: July 2026
Across the latest 9 updates: 7 feature updates, 1 launch and 1 news mention.
WorkClaw enables specialized AI agents to share context and run in parallel to handle cross-department work.
WorkClaw AI agents absorb briefing and reporting work so executives can focus on strategy.
WorkClaw AI agents automate pipelines, reports, anomaly detection, and data documentation for analytics teams.
WorkClaw AI agents automate code review, CI/CD monitoring, bug triage, and developer workflows.
WorkClaw AI agents handle document review, legal research, client intake, and compliance monitoring.
WorkClaw AI agents absorb roadmap research, user research synthesis, PRD writing, and stakeholder updates.
Comparison of WorkClaw with Anthropic's Claude Tag, a persistent shared AI agent in Slack launched June 2026.
WorkClaw places AI agents inside Slack as named team members; Notion AI embeds intelligence in docs and databases.
WorkClaw launched as collaborative AI coworkers in Slack/Teams with 3,000+ apps, custom skills, and Early Access.
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
5 mentions across 1 source (GitHub).
How likely is WorkClaw to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →WorkClaw lets teams deploy a roster of collaborative AI coworkers ("Claws") directly into Slack and Microsoft Teams. Each Claw operates its own cloud computer 24/7, handling research, scheduling, email drafting, follow-ups, reporting, and data entry while humans focus on higher-value work. Designed for small to large teams, it offers one-click setup, pre-built skill packs, and the ability to create custom workflows via natural language—no coding required. With enterprise-grade security (SOC 2 Type II, admin controls, a secure credential vault), it's built for safe whole-team adoption without IT overhead. Unlike generic chatbots, WorkClaw agents are persistent, shareable team members that collaborate across channels and tools. The credit-based pricing model scales with usage, and the Business plan allows bring-your-own-API-key for organizations with existing LLM contracts. Recent updates highlight multi-agent coordination, where specialized Claws can share context and work in parallel, plus industry-specific skill packs for executive, data, engineering, legal, and product teams.
WorkClaw solves a real problem: turning Slack into a platform for actually useful AI coworkers that don't disappear after one message. We'd reach for this when we need multiple specialized agents—like one for research, one for scheduling—that can talk to each other and to humans in the same channels. The one-click setup and pre-built skills get you value fast, and the cloud computers mean no hardware burden. Compared to Anthropic's Claude Tag (a single persistent agent), WorkClaw lets you run an entire fleet of agents with distinct roles and custom skills—more flexible, but also more complex to manage. Where it bites: the credit system. At minimum, each Claw costs 750 credits per day just to keep its cloud computer running, plus variable AI usage. On the Team plan's 30,000 monthly credits, running just one Claw daily eats 22,500 credits—leaving only 7,500 for AI calls. Heavy users may need top-ups ($20 for 20k credits) or the Business plan. Also, no on-premises option, and the free trial gives $100 credits but no permanent free tier. In practice, we'd recommend WorkClaw to teams that want to experiment with multi-agent collaboration and have budget to scale; for a single-bot scenario, simpler tools may suffice.
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Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Common stack mates teams adopt alongside WorkClaw, with the specific reason each pairing earns its keep.
Always-on AI workers automate CRM, meeting prep, and account monitoring for revenue teams
Open-source framework for building multi-agent AI systems from Microsoft Research
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