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Takibi Base

Takibi Base is a shared knowledge base designed for AI agents. It organizes documents into projects and folders, allowing agents to access and retrieve exact cited passages via CLI or API. Control access with Profiles and manage tasks efficiently.

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Takibi Base screenshot
Takibi Base screenshot

Takibi Base is a comprehensive shared knowledge base tailored for AI agents. It allows users to organize documents into projects and folders, providing a structured environment for AI agents to access and retrieve information. The platform supports various document formats, including PDFs, Word documents, and Markdown files, ensuring that agents can search and extract text efficiently. Users can control document access through Profiles, which define what each agent can read, ensuring secure and tailored access.

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Agents can connect to Takibi Base using the CLI or API, provided they can run Node.js 20 or newer. The platform does not generate answers but returns exact passages from documents, complete with citations and evidence support scores. This feature allows agents to compose responses based on reliable source material.

Takibi Base also supports task management, enabling users to assign tasks to agents, track progress, and review completed work. Notes functionality allows agents to record observations and learnings, which are stored separately from source documents and expire after 30 days.

The platform offers two pricing plans: Ember, at 18 EUR per month for two Profiles, and Campfire, at 52 EUR per month for eight Profiles. Both plans include a 7-day trial, with billing commencing post-trial unless canceled. Users can export their knowledge base in Open Knowledge Format, ensuring data portability.

Takibi Base is ideal for organizations seeking to manage AI agent access to documents, streamline task assignments, and maintain a secure and organized knowledge base.

  • CategoryAI Knowledge Management
  • Pricing ModelSubscription
  • DeploymentCloud
  • PlatformsWeb

  • Document organization into projects and folders

  • Profile-based access control

  • Exact passage retrieval with citations

  • CLI and API connectivity

  • Task assignment and management

  • Notes for agent learnings

  • Support for PDF, Word, and Markdown files

  • Export in Open Knowledge Format

  1. Configure: Set up Profiles to control access

  2. Use: Connect agents via CLI or API

  3. Manage: Assign tasks and review agent work

  4. Optimize: Export knowledge base as needed

  • Document Retrieval
  • Access Control
  • Task Management
  • Notes Recording
  • Data Export

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