Ruune Desktop
Freemium
Professionals in sales, legal, healthcare, and product
Every post-meeting ritual — the action item thread, the Jira ticket nobody filed, the follow-up email that went out three days late — exists because the meeting itself produced no structured output. Tana is an agentic meeting platform that runs inside Zoom, Teams, and Google Meet without a visible bot, turning the conversation into filed issues, updated docs, and refreshed knowledge graphs before the call ends.
$20/mo · Free tier: Host 5 meetings a month with AI transcripts and summaries, Connect 1 calendar, View and edit all your content, 50 AI queries · Checked Jul 1, 2026
The core workflow is: join a call, talk through the work, and let configured agents handle the artifacts. The vendor describes this as 'botless' — participants do not see a recording bot in the call, which removes the social friction that kills adoption on tools like Fireflies or Otter. Agents are configured by describing the workflow in plain language; Tana builds the skills from that description. Integrations cover GitHub, Jira, Linear, Slack, HubSpot, and Google Calendar, with Google Workspace and Microsoft 365 listed as coming. The compounding-knowledge claim — that every meeting feeds a shared context graph so agents never start blank — is the architectural bet that separates Tana from transcript-only tools, and also the one that requires organizational discipline to validate.
Bottom line: Bet on Tana if your product team is drowning in post-meeting artifact work and willing to invest in configuring agents properly; reconsider if your org runs on Microsoft 365, since that integration is not yet available.
Perfect meeting memory without taking notes.
End the meeting with the work already done.
When meetings are the job. Discuss, decide, do. Instantly.
Intelligence that compounds with every meeting.
View full pricing on tana.inc →
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Freemium
Professionals in sales, legal, healthcare, and product
Freemium
Users prioritizing on-device processing and data privacy
Post-meeting cleanup — filing issues, updating briefs, logging decisions, sending follow-ups — consumes hours that Tana is built to reclaim. The platform embeds AI agents directly into video calls on Zoom, Teams, and Google Meet without surfacing a bot to other participants. During the call, agents with pre-configured skills capture decisions, draft documents, and push structured output to connected tools. The user describes the workflow they want; Tana generates the agents and skills to execute it.
The differentiating architecture is what the vendor calls ‘connected knowledge’: every meeting feeds a shared graph of docs, tasks, decisions, contacts, and projects. When an agent prepares a meeting or drafts a follow-up, it pulls from that accumulated context rather than starting from a blank document. The vendor gives concrete examples — pulling last week’s milestones across product, sales, and ops for an all-hands, or synthesizing patterns across a quarter of customer calls — that suggest the system’s value compounds over time rather than delivering a flat per-meeting utility.
Tana fits teams that already have structured workflows in Jira, Linear, GitHub, or HubSpot and want those systems updated without a manual handoff step. The configurable-agent model means the tool’s usefulness is proportional to the investment in setup; a team that describes workflows precisely gets specific outputs, and a team that skips configuration gets a transcript. Google Workspace and Microsoft 365 integrations are listed as coming with an ETA of Q3 2026, which means organizations whose work lives in those ecosystems face a gap in the integration surface today.
On compliance and data handling, the vendor states SOC2 compliance, GDPR compliance, HIPAA compliance (marked in progress), no training on customer data, SSO support, and an MCP API-first architecture with portable data export. The platform is described as LLM-agnostic, with Claude, Gemini, and Codex listed as connected models, so teams are not locked to a single inference provider.
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