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agent-manager vs Kaily: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of agent-manager and Kaily — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

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agent-manager

Yoan Wai

Free

Go TUI on top of tmux that spawns, tracks, and reviews Claude Code, Codex, Cursor, and other coding agents in one keypress.

Key features

  • One-keypress Spawn: Hit space on a group row, type the task, press enter — a new agent session starts immediately with the prompt embedded and the correct working directory set, without any form or naming step.
  • Answer In Place: On a session row, the same space key sends your reply into the agent's pane as a user message, so a blocked agent never costs you a tmux attach.
  • Multi-CLI Support: Tab cycles which CLI the next enter launches — claude, opencode, codex, grok, gemini, or anything you configured — so different tasks pick different agents from the same bar.
  • Git Worktree Spawn: alt+w spawns the agent into a fresh git worktree so parallel branches don't fight over the checkout.
  • Hook-based Status Detection: Six statuses (working, waiting, finished, errored, idle, dead) come from Claude Code's own hook events rather than guessing from pane output.
  • Foldable Project Tree: Groups are paths, not folders — backend/api/auth nests as deep as the work does, folded groups keep per-status counts, and the layout persists across restarts.
  • Whole-file Diff Reviewer: Review each agent's diff without leaving the list; line comments become follow-up messages to that agent.
  • Uses Your Local CLI As-is: Every session runs your installed CLI with your login, config, and MCP servers — nothing is re-wrapped or proxied.

Best for

  • Parallel Feature Work: Fan out five features across five agents in seconds and monitor them all in one folded tree without switching terminals.
  • Reviewing Blocked Agents: Answer a permission prompt or clarifying question directly from the list without tmux-attaching, so waiting agents never idle on you.
  • Multi-repo Development: Keep several projects open at once, spawn each new task into the correct project directory, and never lose track of which agent is where.
  • Mixed CLI Workflows: Use Claude Code for one task, Codex for another, and opencode for a third — all launched from the same TUI without switching contexts.
  • Diff-driven Code Review: Scan a whole-file diff, drop a line comment, and it becomes the next message to the agent, closing the review-fix loop inside the TUI.
  • Long-running Agent Fleets: Fold what you aren't watching, archive finished sessions, and let dozens of agents run without the terminal turning into a wall of processes.
View agent-manager details
Kaily logo

Kaily

Kaily (formerly Copilot.live)

Paid

An AI teammate for helpdesk, website chat, voice calls and collaborative document Q&A that automates support and team workflows.

Key features

  • Multi-Channel Support: Combines website chatbots, helpdesk automation and AI-driven voice calls to handle customer interactions, qualify leads, and escalate to humans when needed.
  • Team-Shared Document Chat: Allows multiple team members to participate in a single PDF or document conversation concurrently, enabling group Q&A and collaborative review in real time.
  • Multi-Source Ingestion: Consolidates information from PDFs, Google Docs, Notion pages, and website links to produce answers that span multiple sources.
  • Citations & Traceability: Every generated answer includes exact page and section citations (e.g., page numbers and chapter pointers) so users can verify source material quickly.
  • Integrations & Embeds: Connects with Slack, Chrome, Google Drive and supports embeddable website chat to fit into existing workflows and touchpoints.
  • Workflow Automation: Automates repetitive support and sales tasks, issue resolution steps, and can be configured to trigger downstream actions based on conversations.
  • Enterprise Customization: Offers team and enterprise-focused options with customizable pricing, onboarding, security settings, and integrations to meet organizational requirements.
  • Team-shared document chats allowing multiple users to participate simultaneously in a single PDF or document conversation
  • Supports ingestion of PDFs, Google Docs, Notion pages, and website links (multi-source data integration)
  • Per-answer citations with exact page numbers and sections for traceability and verification
  • Integrations: Slack connector, Chrome extension, Google Drive integration (embeds into existing workflows)
  • Web-based interface optimized for collaborative workflows and document-centric Q&A
  • Configurable for team/enterprise usage — pricing and plans customized by team size
  • Can be embedded or used as an AI chatbot (used as a portfolio chatbot example)
  • Focused on enterprise/team scenarios such as contract review, HR policy lookups, and research report analysis

Best for

  • Contract review for legal teams: Multiple lawyers collaboratively query PDFs, get pinpointed answers with page citations, and discuss findings in a shared document chat.
  • HR policy lookup: HR staff search across handbooks and policy documents in one place to answer employee questions and cite exact sections.
  • Research and reports analysis: Research teams aggregate PDFs, Google Docs and web sources to extract insights, annotate pages, and hold shared Q&A sessions.
  • Customer support automation: Deploy website chatbot and AI voice calls to answer common customer questions, create tickets, and escalate complex issues to agents.
  • Sales qualification on websites: Use embedded chat to engage visitors, automate qualification flows, and route leads to sales reps with context and transcripts.
  • Knowledge base consolidation: Unify scattered documentation (Docs, Notion, websites) into a searchable, source-cited assistant for internal teams.
  • Legal teams collaboratively reviewing and querying contract PDFs with page/section citations
  • HR teams searching and discussing internal policy manuals across documents
  • Research teams analyzing reports and consolidating answers from multiple document sources
  • Customer support or operations teams automating resolution workflows and knowledge lookup
  • Embedding an AI chatbot on websites/portfolios to provide contextual information about content
View Kaily details