Kollab

Description

Kollab is an AI agent workspace built for people and teams who create content continuously. Instead of a one-off chat box, it keeps project material, drafts, feedback, outputs, and collaboration records together so the same sources can keep supporting future work. Teams work with shared agents backed by reusable Skills, Bots, connectors, memory, and project context in one place.

Material can come from web pages, documents, podcasts, videos, and team chats. Kollab parses pages and transcribes audio and video so every source becomes usable project context, then uses that context to create outlines, scripts, text-and-image posts, audio, video, 3D models, and websites without switching tools. When content is ready, teams can adapt it per channel and publish directly to X, Instagram, and LinkedIn.

Connectors bring existing tools, repositories, and external pages into each project, while Memory retains brand voice and team rules, Skills turn proven prompts and workflows into reusable capabilities, Scheduled tasks automate recurring work, and Bots bring the agent into Slack, Discord, Telegram, Feishu, and LINE.

Kollab supports team permissions, data isolation, and private deployment, so teams with compliance requirements can keep customer material, brand assets, and internal knowledge inside their own environment. It is built by a small product and engineering team across Hong Kong and Japan.

Kollab's Core Features

• Shared AI agent workspace for teams and individuals

• Reusable Agent Skills, Bots, and connectors

• Team Bots for Slack, Telegram, Discord, and Feishu

• Web page parsing plus audio and video transcription into context

• Multi-format creation: posts, scripts, images, audio, video, 3D, and websites

• Direct publishing to X, Instagram, and LinkedIn

• Memory, scheduled tasks, and long-running task history

• Team permissions, data isolation, and private deployment

How to use Kollab?

1. 1

   Start a project: Create a workspace and set brand voice and project context.

2. 2

   Collect material: Add web pages, documents, podcasts, videos, or team chats via Connectors and Bots.

3. 3

   Create content: Ask the agent to turn the material into outlines, posts, scripts, images, audio, or video.

4. 4

   Collaborate: Share drafts, feedback, and version history with teammates and the agent.

5. 5

   Publish: Adapt content for each channel and publish to X, Instagram, or LinkedIn.

Kollab's Use Cases

• Content team pipeline
• Client and agency work
• Meeting and research capture
• Social content repurposing
• Competitor and topic monitoring

FAQ from Kollab

• Is Kollab better for individuals or teams?

  Both. Individual creators can go from inspiration to social publishing on their own, while teams can keep material, drafts, feedback, and their agent together in one project.

• How is Kollab different from a regular AI chat tool?

  It is not a one-off chat box. Kollab keeps project material, context, outputs, and collaboration records together so the same material can keep supporting future work.

• What content formats does Kollab support?

  Outlines, scripts, text-and-image posts, audio, video, 3D models, websites, and more, all based on the same reusable project material.

• Do I need to migrate from Notion, Slack, or Google Drive?

  No. Kollab can connect external material and team conversations through Connectors and Bots, so existing information can enter the workflow directly.

• Which platforms can Kollab publish to?

  Kollab currently focuses on publishing to X, Instagram, and LinkedIn, with more distribution options planned.

• How do enterprise data and private deployment work?

  Kollab supports team permissions, data isolation, and private deployment, so teams with compliance requirements can keep the deployment boundary inside their own environment.