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Alternatives

Products that do what puppyone does

A context file system built for AI agents.

  1. 1
    Unabyss723

    MCP-native self-updating context layer for your AI

    May 2026 · unabyss.com

  2. 2

    The context layer for AI agents

    Oct 2025

  3. 3
    Orchids685

    The AI Full Stack Engineer

    Oct 2025 · orchids.app

  4. 4

    Give AI agents secure, real-time access to your files

    2025

  5. 5
    Fluree AI281

    Give every AI agent trusted context

    Jul 2026 · flur.ee

  6. 6

    Backend and Frontend for your AI Agents

    2025

  7. 7

    The AI-powered platform built for professional K9 teams

    Apr 2026 · dogbase.co

  8. 8

    Connect AI agents to governed metadata via MCP

    Jan 2026 · dawiso.com

  9. 9AA

    I’m Michel, co-founder and CEO of Airbyte (https://airbyte.com/). We’ve spent the last six years building data connectors. Today we're launching Airbyte Agents (https://docs.airbyte.com/ai-agents/), a unified data layer for agents to discover information and take action across operational systems. Here’s a quick walkthrough: https://www.youtube.com/watch?v=ZosDytyf1fg As agents move into real workflows, they need access to more tools (e.g. Slack, Salesforce, Linear). That means a ton of API plumbing: authentication, pagination, filters,…

    May 2026

  10. 10

    Automate boring work. Extensible and free desktop AI agent.

    Aug 2026 · agent-one.dev

  11. 11

    Turn your work into AI agent memory, served over MCP

    May 2026 · contextberg.com

  12. 12

    Open-source homeserver OS with a built-in AI agent

    Jul 2026 · livinity.io

  13. 13

    AI agents that run your operations (Open source)

    Mar 2026 · budibase.com

  14. 14

    A shared filesystem for AI agents

    Jul 2026 · blaxel.ai

  15. 15KS

    Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem shifted from "how do I build agents" to "how do I manage them." Deployment, monitoring, team isolation, figuring out which agent broke what at 3am. Classic orchestration problem. So I built klaw, modeled on Kubernetes: Clusters — isolated environments per org/project Namespaces — team-level…

    Feb 2026 · github.com

  16. 16

    Build your own stateful agent framework

    2025

  17. 17

    Build grounded, governed, trustworthy data agents

    Jun 2026 · upsolve.ai

  18. 18AA
  19. 19

    Your AI Native Inbound Marketing Engine

    Jul 2026 · pawesome.space

  20. 20AK
  21. 21MA

    Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

    2025 · github.com

  22. 22

    Turn your entire database into a context window for AI

    Jul 2026 · polygres.com

  23. 23

    Framework to deploy desktop computer-use agents

    2025

  24. 24PB

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