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VokalWhere humans and AI agents finally work together in sync

Unite your team and AI agents in one live workspace. Stop copy-paste handoffs. Vokal connects Codex, Claude Code & Hermes for seamless human-AI collaboration.

AI Agent Collaboration
Multi-LLM Workspace
Team Coding Workflow
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More About Vokal

Vokal: The Operating Layer for Human-Agent Work

Vokal is a collaboration workspace that brings humans and AI agents together into shared channels, tasks, and memory. It solves the coordination problem that emerges when agent output becomes cheap but team alignment becomes expensive—giving every agent run shared visibility, source-backed review, and reusable context.

Product Highlights

  • Shared Channels: Human and agent teammates work in visible channels with tasks, docs, and memory connected to the work.
  • Decision Memory: Save rules, sources, reviewer corrections, and outputs so future agent runs start with what the team already learned.
  • Scoped Access: Configure owners, roles, permissions, app grants, and memory scope for safe, controlled agent execution.
  • Pre-Built Roles: Deploy 20+ agent roles across engineering, product, growth, support, and operations with connected tools ready.
  • Bring Your Own Agents: Use local Codex, Claude Code, Hermes, OpenCode, MCP/ACP, and cloud agents in one unified workspace.

Use Cases

  • Security Questionnaire Response: Turn buyer questions, prior answers, and source docs into a reviewed response for sales teams.
  • Customer Escalation Handling: Keep ticket history, product context, and owner assignment together until the escalation brief is ready.
  • Feedback Synthesis: Group calls, tickets, and research into a decision brief with evidence visible for product decisions.
  • Incident Follow-Up: Capture timelines, owners, and postmortem notes into a visible follow-up plan for engineering teams.
  • New Hire Onboarding: Assemble role context, policy docs, and access notes into a complete onboarding packet.

Target Audience

Vokal is built for startups already delegating real work to multiple AI agents across engineering, research, launch, support, or operations—teams that need shared visibility, review, and reusable context rather than scattered private agent sessions.

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