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What is Takibi Base?

Takibi functions as a collaborative platform for AI agents, where a human administrator organizes documents into different projects and folders while overseeing access permissions through user Profiles. AI agents can retrieve specific quoted text accompanied by a scoring system that reflects the strength of the evidence, utilizing either the command line interface or an application programming interface; however, the platform itself does not generate responses. It also includes agent Notes which are viewed as untrusted and have a limited lifespan of 30 days, necessitating human intervention for classification into categories such as Keep, Add to draft, or Remove, along with options for exporting drafts; these notes are not considered reliable and are restricted from being shared across Profiles, with no automatic upgrade to a trusted status. Additionally, the workspace fosters interaction among agents via Conversations, incorporates task management features that allow for review, and supports export in the Open Knowledge Format, which enhances collaborative efforts among users. The extensive range of functionalities aims to improve both the productivity and performance of AI agents operating within the Takibi ecosystem, ensuring a streamlined process for all participants involved. This thoughtful design underscores the commitment to fostering a robust environment for AI collaboration.

What is Agent Bayes?

Agent Bayes is an AI-powered research assistant specifically designed for graduate students, postdoctoral researchers, and academics. Users can easily upload their articles in PDF format or connect their Zotero libraries to the platform, enabling them to ask questions about their gathered materials. The assistant expertly navigates through these documents, creating a mindmap that outlines various claims, each linked to the corresponding passage and page number that supports it. Users can interact with the citations, clicking to access the relevant excerpts or PDF pages, which allows for a visualization of competing research perspectives as separate, sourced viewpoints. Furthermore, the AI Verification feature checks if the cited passages sufficiently back up a claim, although this functionality is exclusive to those with paid subscriptions. An MCP server supports the integration of compatible tools like Claude Code, Codex, and Cursor, allowing these tools to search the user’s library and utilize the answers and mindmaps derived from the citations. The free tier provides users with 50 credits per month, while paid plans begin at $11 per month, billed annually, offering a variety of options to enhance users' research journeys. Ultimately, this cutting-edge assistant is designed to simplify the research process, fostering greater efficiency and productivity in academic endeavors. With its user-friendly interface and sophisticated features, Agent Bayes represents a significant advancement in academic support technology.

Media

No images available

Media

Integrations Supported

Integrations Supported

Claude Code
Cursor
Model Context Protocol (MCP)
OpenAI Codex
Zotero

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$11/month
The Free plan includes 50 credits per month. Starter costs $11/month when billed annually and includes 600 credits per month. AI citation verification is included in paid plans.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Takibi

Company Website

takibibase.com

Company Facts

Organization Name

ArchaeoMind

Date Founded

2026

Company Location

Israel

Company Website

agentbayes.com

Categories and Features

AI Knowledge Base

Not specified

Categories and Features

AI Research Tools

Not specified

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