adapt

A practical workflow

1. Users interact with the AI agent in their preferred app surface such as Slack or GitHub, sending queries or commands.
2. The agent routes requests to the appropriate AI model tier based on request complexity and latency requirements.
3. The agent executes code in microVM sandboxes with persistent state and posts results back to the user in the original app surface.

Based on the sources below. Editorial review does not imply hands-on product testing.

Candidates based on category and primary feature. Check feature and pricing differences before switching.

What changed

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

1. 9/14/2026

   Updated: best for, features, summary, walkthrough

   See recorded changes

   bestFor

   Before: ["Companies seeking to build custom AI agents integrated across multiple collaboration and communication platforms with unified control and memory.","Teams wanting to optimize AI model usage by routing requests to the best available model to balance cost and output quality."]

   After: ["Companies wanting a single AI agent integrated across multiple collaboration and work platforms with unified memory and permissions.","Teams seeking adaptive AI model routing to optimize cost and quality without vendor lock-in."]

   features

   Before: ["Adaptive routing that scores and routes each request to the best AI model tier for optimal performance and cost.","Unified AI agent with one identity, memory, and permission model across Slack, GitHub, web, and messaging platforms.","MicroVM sandboxes with persistent filesystems, scoped secrets, and cron for executing code securely within agents."]

   After: ["Unified AI agent that works natively across Slack, GitHub, web, and Messages with one identity, memory, and permission model.","Adaptive routing of AI requests to the best available model per request to optimize output quality and cost.","MicroVM sandboxes with persistent filesystems, scoped secrets, and cron for executing code within AI agents."]

   summary

   Before: "Adapt is an AI platform that enables building across the entire AI stack including apps, models, and infrastructure, allowing companies to create their own branded AI agents integrated into multiple work surfaces. It features adaptive routing to select the best AI model per request, microVM sandboxes for code execution, and a unified agent experience across Slack, GitHub, web, and messaging platforms."

   After: "Adapt is an AI platform that enables building across the entire AI stack including apps, models, and infrastructure, allowing companies to own their AI agents. It integrates with multiple work surfaces like Slack, GitHub, and web, providing a unified agent experience with adaptive model routing and real compute infrastructure."

   walkthrough

   Before: ["Agents execute code within microVM sandboxes that provide persistent filesystems and scoped secrets, ensuring secure and isolated execution."]

   After: ["Users interact with the AI agent in their preferred app surface such as Slack or GitHub, sending queries or commands.","The agent routes requests to the appropriate AI model tier based on request complexity and latency requirements.","The agent executes code in microVM sandboxes with persistent state and posts results back to the user in the original app surface."]