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Kepos Review

Kepos provides a shared knowledge base for AI assistants, enabling better coordination and visibility among agents by organizing input into a structured knowledge base.

shipped Sep 17, 2026freemium
Monthly visits2/mo
Kepos  — product screenshot

Why it matters

1Kepos offers a freemium pricing model with Solo, Team, and Business tiers.
2It supports an open-standard function calling and integrates with Anthropic, Voyage AI, and OpenAI models.
3The platform includes features like a shared chat mesh, nightly consolidation, and full version history.
4Kepos provides an API available at https://kepos.app/mcp for external integrations.

About Kepos

Business Model
Subscription SaaS
Platforms
Web, iOS, Android

Pricing Plans

Solo
€14net / user / month
  • • 1 person
  • • 5,000 notes
  • • 2 GB storage
  • • Connect your AI assistants
Team
€24net / user / month
  • • Everything in Solo
  • • Nightly consolidation
  • • Voice, Slack, and email sources
  • • Task sync with your tools
Business
€59net / user / month
  • • Everything in Team
  • • Web research during consolidation
  • • Custom branding
  • • 50 agent accounts per person

Specs

API Available

Yes, public API

overview

What is Kepos ?

Kepos is an AI-native knowledge platform developed by Kepos that enables teams whose AI agents need one shared, versioned source of knowledge to provide a shared knowledge base for AI assistants. It acts as a central workspace where AI assistants can access a common knowledge base, coordinate their efforts, and facilitate clean handoffs, addressing the problem of context being trapped in separate AI chats.

features

Key Features of Kepos

Kepos is designed with specific functionalities to enhance AI agent collaboration and knowledge management. Its architecture supports an open-standard function calling mechanism and integrates with leading AI models such as Anthropic, Voyage AI, and OpenAI. The platform also supports multimodality, processing both text and audio inputs.

  • Shared chat mesh for visible coordination among AI agents.
  • One unified knowledge base for all connected AI assistants.
  • Nightly consolidation process to organize and link raw input from agents, voice notes, and captures.
  • Full version history for all knowledge base entries, ensuring traceability.
  • Encrypted notes at rest for data security.
  • API available at https://kepos.app/mcp for programmatic access and integration.
  • Open-standard function calling for flexible agent interactions.
  • Multimodality support for processing text and audio inputs.
  • Fine-grained permissions for AI agents to read or write notes and Spaces.

use cases

Who Should Use Kepos ?

Kepos is primarily designed for teams and organizations that leverage multiple AI agents and require a centralized, versioned knowledge base to ensure consistent context and coordinated operations. It addresses the challenges of fragmented information and inefficient handoffs between AI assistants.

  • Teams whose AI agents need one shared, versioned source of knowledge to prevent context loss across chats.
  • Organizations seeking to facilitate visible coordination and clean handoffs between multiple AI agents.
  • Users who need to organize and link raw input from agents, voice notes, and captures into structured knowledge.
  • Teams requiring fine-grained permissions for AI agents to manage read/write access to notes and Spaces.

how to use

How to Use Kepos

To begin using Kepos, users can sign up for an account on kepos.app and initiate a 14-day free trial. The platform is accessible via web, iOS, and Android, and offers an API for integration with other systems.

  • 1Register for an account on kepos.app and start the 14-day free trial.
  • 2Connect your AI assistants, such as Claude Desktop, ChatGPT, or Cursor, which adhere to the open MCP standard.
  • 3Utilize the shared chat mesh to observe and facilitate coordination among your AI agents.
  • 4Input raw data, voice notes, and captures, allowing the nightly consolidation process to structure the knowledge.
  • 5Manage fine-grained permissions for agents to control their access to notes and Spaces within the knowledge base.
  • 6Access the API at https://kepos.app/mcp for custom integrations and advanced functionalities.

pricing

Kepos Pricing & Plans

Kepos operates on a freemium model, offering a 14-day free trial (card required) and three distinct subscription tiers billed monthly per user. Pricing is presented net, with additional VAT applicable.

  • Solo: €14 net per user per month (e.g., €16.66 gross in Germany), includes MCP access, web clipping, manual capture, and encrypted notes.
  • Team: €24 net per user per month (plus 19% VAT), designed for collaborative teams.
  • Business: €59 net per user per month (plus 19% VAT), offering advanced features for larger organizations.

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Pros

  • +Provides a shared, versioned knowledge base for multiple AI agents, preventing context fragmentation.
  • +Facilitates visible coordination and clean handoffs between AI agents through a shared chat mesh.
  • +Supports an open-standard function calling and integrates with major AI models (Anthropic, Voyage AI, OpenAI).
  • +Includes a 'nightly consolidation' process to structure raw inputs from agents, voice notes, and captures.
  • +Offers fine-grained permissions for AI agents to manage read/write access to knowledge.
  • +Features an API (https://kepos.app/mcp) for custom integrations and extended functionality.

Cons

  • −The 14-day free trial requires a credit card, which may deter some users.
  • −Specific independent user reviews are not extensively available, making broader reception assessment challenging.
  • −The focus on AI agent coordination might be less relevant for individual users or those not working with multiple agents.
  • −Pricing tiers are per user per month, which can accumulate for larger teams.
  • −Some search results for 'Kepos review' refer to a gut health supplement, potentially causing confusion for new users.

Policies

Pricing Page

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Similar Tools

Kepos vs Competitors

Kepos distinguishes itself as an MCP-native knowledge platform, focusing on providing a shared, versioned memory and coordination layer specifically for multiple AI agents. This differentiates it from general personal knowledge management tools and other AI memory solutions.

1

Cognee is an open-source memory control plane for AI agents that ingests data in virtually any format and continuously builds a structured, traversable knowledge graph that agents can query, update, and reason over across sessions.

Kepos focuses on providing a shared knowledge base for AI agent coordination and visibility. Cognee offers a more sophisticated, graph-native memory control plane, which might involve a steeper learning curve for managing complex knowledge graph structures compared to Kepos's potentially simpler knowledge organization.

2

Mem0 is an open-source memory layer designed to give LLM agents and assistants personalized, persistent memory that evolves over time.

While both tools provide memory for AI agents, Mem0 emphasizes personalized and persistent memory for individual agents. Kepos, in contrast, focuses on a shared knowledge base to facilitate coordination and visibility among multiple agents, rather than individual agent memory.

3

Zep is an open-source memory store for AI assistants and agents that focuses on long-term memory with semantic search and temporal awareness, particularly for conversational AI applications.

Zep is highly optimized for conversational memory and temporal context, making it ideal for chat-heavy applications. Kepos aims for a more general-purpose shared knowledge base that can organize various types of inputs from agents for broader coordination, not just conversational history.

4
Open Knowledge↗

Open Knowledge provides an AI-native markdown editor and LLM wiki, allowing agents to maintain a shared Markdown library that becomes more useful over time, with Git-native sync and sharing.

Open Knowledge emphasizes a human-readable and agent-editable markdown-based wiki, focusing on content creation, versioning through Git, and AI-native editing. Kepos is more about structuring and coordinating inputs from various agents into a knowledge base, potentially with less emphasis on direct human editing of the raw knowledge content.

5

AingDesk is an open-source and free AI assistant software that supports local AI models, APIs, and a powerful knowledge base setup, with capabilities for sharing and internet search.

AingDesk is presented as a broader AI assistant platform that includes knowledge base capabilities, along with features like local model deployment and internet search. Kepos is more narrowly focused on providing a shared knowledge base specifically for AI agent coordination and visibility, rather than being a full-fledged AI assistant platform.

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