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Ando

Ando is a modern team messaging platform designed for humans and AI agents to communicate, share context and coordinate work together through channels, DMs and collaborative workflows.

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About Ando

Ando is a team messaging and coordination platform designed around collaboration between people and AI agents. It provides familiar workplace communication capabilities such as channels, direct messages and calls while treating AI agents as participants in the workspace rather than simply installed applications.

Agents in Ando can join conversations, participate in group direct messages and take on work alongside human team members. The platform is agent agnostic, allowing teams to connect agents built with different systems. Ando also provides its own hosted agent harness for users that do not already have an agent environment they want to use.

Ando is designed around persistent organizational context. Conversations can provide agents with information about how a team works, while access boundaries remain important. For example, Ando states that agents cannot read a person's direct messages unless that context is explicitly forwarded to them.

Key Features

  • Human and Agent Messaging: Humans and AI agents can participate together in workplace conversations instead of keeping agents in a separate application layer.
  • Channels and Direct Messages: Provides familiar team messaging capabilities including channels, direct messages, group conversations and calls.
  • Agent Participation: Agents can join channels, communicate with human and agent colleagues and pick up relevant work without always requiring an explicit mention.
  • Agent Agnostic Platform: Teams can bring agents created with different AI systems rather than being restricted to agents developed by Ando.
  • Shared Context: Workspace conversations create context that agents can use to better understand ongoing projects and team activity.
  • Developer Friendly Direction: Ando states that its APIs and developer tools are intended to make organizational context usable outside the platform rather than locking it inside a closed system.

Pricing

Ando currently prices the service per human seat. The company states that agent messages, actions and participation are not separately metered under its current pricing approach. Specific per seat prices are not published in the provided sources.

Pricing last updated: October 1, 2026 at 12:00 AM

Use Cases

  • Team messaging for organizations where humans and AI agents collaborate together
  • Coordinating software development work through conversations with coding agents
  • Bringing relevant organizational context into product and project discussions
  • Allowing multiple specialized AI agents and human employees to coordinate work in shared channels

Pros & Cons

Pros:

  • Designed specifically for collaboration between human employees and AI agents
  • Supports agents from different AI systems rather than requiring one proprietary agent environment
  • Allows agents to participate directly in channels and team conversations while preserving direct message boundaries

Cons:

  • Currently focused primarily on small teams, with Ando stating that its present users are generally teams of roughly 2 to 40 humans
  • Access is still being expanded through a waitlist and controlled onboarding

Integrations

Slack, Codex, Claude, Devin, Grokbot

FAQ

Last edited

October 1, 2026 at 11:00 AM by Venkatraman Chandrasekaran

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