Keiki

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About Keiki

Keiki is a platform for creating AI agents that can communicate across multiple channels including SMS, iMessage, WhatsApp, Slack, Telegram, email and others. The platform allows teams to define an agent’s role, behavior and boundaries once, then deploy it across all customer touchpoints without rebuilding the experience for each channel. Agents can retrieve live information, execute workflows, process payments, remember context and escalate to human agents when required. The system handles conversation memory, tool execution, billing, observability, evaluations and sandboxed code execution automatically. Teams can inspect conversations and execution traces, evaluate changes before deployment and require human approval for sensitive actions. The platform supports both visual agent building and developer interfaces, with OpenAPI contracts, provider-compatible endpoints and an MCP server for programmatic control.

Key features

Multi-channel agent deployment
Conversation memory and context tracking
Tool integration and workflow automation
Sandboxed code execution
Human escalation and approval controls
OpenAPI contract and MCP server
Usage monitoring and observability
Evaluation and testing before deployment

Use cases

Customer support automation across messaging platforms
Lead qualification and appointment scheduling
Transaction processing and order updates

Pros

Multi-channel deployment from single agent definition
Built-in conversation memory and context retention
Sandboxed code execution for security
Human escalation and approval workflows
Developer tools including OpenAPI and MCP server

Cons

No mention of free tier or pricing tiers
Limited to supported messaging channels only
Requires technical setup for advanced features

Frequently asked questions about Keiki

What is Keiki and what does it do?

Keiki is a platform for building AI agents that can communicate across multiple channels such as SMS, iMessage, WhatsApp, Slack, Telegram, and email. It allows teams to define an agent’s role, behavior, and boundaries once, then deploy it consistently across all customer touchpoints without rebuilding the experience for each channel.

Who should use Keiki?

Keiki is designed for teams that need to deploy AI agents for customer-facing work, such as answering product questions, qualifying leads, scheduling appointments, processing transactions, or handing off conversations to human agents when necessary.

How does Keiki handle conversation memory and context?

Keiki automatically manages conversation memory, ensuring that agents retain relevant context across interactions. This allows the agent to remember prior exchanges and provide coherent, context-aware responses without requiring manual setup for each channel.

Can Keiki agents perform actions beyond answering questions?

Yes, Keiki agents can retrieve live information, execute workflows, process payments, and escalate to human agents when required. They can also be configured to require human approval for sensitive actions, ensuring controlled and safe operations.

Does Keiki support developer-friendly integrations?

Yes, Keiki offers developer interfaces, an OpenAPI contract, provider-compatible endpoints, and an MCP server for programmatic control. Teams can start with a visual builder or use these interfaces to prototype and scale agents from idea to production.

How does Keiki ensure safe and controlled agent operations?

Keiki provides conversation history, execution traces, evaluations, usage controls, alerts, and human steering to help teams understand agent behavior and improve it safely. Teams can set boundaries, require approvals for sensitive actions, and maintain a clear path to human intervention when needed.