AgentIndex icon
AgentIndex
kdcube logo
kdcube
★ 26
vs
lobu logo
lobu
★ 230

kdcube vs lobu

kdcube: KDCube is an open-source, self-hosted production runtime designed for AI applications and agents, providing the necessary infrastructure to run frameworks like LangGraph, CrewAI, or custom agents in production. It handles multi-user serving, ordered conversation delivery, streaming, isolated code execution, cost controls, and secure deployment from Git, allowing developers to focus on agent logic rather than operational complexities.; lobu: Lobu is an open-source backend infrastructure designed for autonomous AI agents that can observe, remember, and act within existing team workflows. It provides a multi-tenant environment with sandboxed execution, a durable event log, and a typed knowledge graph to connect company tools and enable agents to run across various platforms.

01

TL;DR

kdcube logo
kdcubeLLM Infra · ★ 26

Adding multi-user delivery, streaming, persistence, and deployment to existing LangGraph, CrewAI, or custom agents.

Read kdcube full review →
lobu logo
lobuLLM Infra · ★ 230

Employee AI assistants: Deploy persistent, sandboxed agents on Slack wired into internal tools and documentation.

Read lobu full review →
02

Side-by-Side Comparison

Field
kdcube logokdcube
lobu logolobu
Category
LLM Infra
LLM Infra
Stars
★ 26
★ 230
License
MIT
Apache-2.0
Install Command
pip install kdcube-cli
npx @lobu/cli@latest init my-bot && cd my-bot && npx @lobu/cli@latest run
Updated
2d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Runtime, Agent Framework, Self-Hosted
Autonomous Agents, AI Infrastructure, Multi-tenant
03

Features

kdcube logokdcube
01Multi-user serving with ordered conversation delivery and streaming capabilities.
02Secure deployment and updates of app code from Git, with descriptor-based configuration and near-live app reloads.
03Runs generated code under explicit isolation policies, including split-Docker profiles for enhanced security.
04Built-in user identity, connected accounts, delegated operators, and grants for secure access management.
05Tracks economics for LLM, embedding, web-search, and tool usage, enforcing budgets before calls.
lobu logolobu
01Memory & Knowledge Graph: Ingest data into a durable event log, define custom entity schemas, and build a live, org-scoped knowledge graph for shared organizational memory.
02Multi-tenant Sandboxed Execution: Runs agents in isolated sandboxes per conversation or channel, ensuring security and credential isolation while serving many agents from a single Node process.
03Cross-platform Channel Support: Supports integration with multiple communication platforms like Slack, Telegram, WhatsApp, Discord, Teams, and Google Chat, with a dedicated runtime for each.
04Guardrails & Security: Implements security features such as secret proxies, egress policy enforcement, and AI-powered guardrails to control agent behavior and data handling.
05Flexible Agent Integration: Allows users to bring their own agents via MCP, interact through a CLI and TypeScript SDK, or run Lobu's built-in agents, all backed by the same org-scoped graph.
04

Use Cases

kdcube logokdcube
↳Adding multi-user delivery, streaming, persistence, and deployment to existing LangGraph, CrewAI, or custom agents.
↳Integrating a configurable chat widget or native APIs into a website or product UI.
↳Managing and tracking tools, provider integrations, user consent, and isolated execution for AI services.
↳Quickly building new AI features with ready chat, ReAct agents, web search, files, and user memory.
↳Orchestrating several independently deployable AI services or frontends that provide and consume APIs.
lobu logolobu
↳Employee AI assistants: Deploy persistent, sandboxed agents on Slack wired into internal tools and documentation.
↳Automated customer support: Handle multi-step ticket resolution with human-in-the-loop capabilities.
↳Autonomous workflows: Run long-running, scheduled background jobs with persistent state.
↳Managed infrastructure: Provide private Lobu deployments with updates and scaling for production environments.
↳Custom tooling & skills: Develop bespoke MCP servers, Nix runtimes, and agent skills tailored to specific needs.
05

Best For

kdcube logokdcube
—
lobu logolobu
Hidden Gem
FAQ

FAQ

What is the difference between kdcube and lobu?
Both kdcube and lobu are in the LLM Infra category. kdcube has 26 stars, while lobu has 230 stars.
Which is better, kdcube or lobu?
The best choice depends on your use case. Choose kdcube if Adding multi-user delivery, streaming, persistence, and deployment to existing LangGraph, CrewAI, or custom agents., and lobu if Employee AI assistants: Deploy persistent, sandboxed agents on Slack wired into internal tools and documentation..
Is kdcube free or open source?
Yes, kdcube is open source on GitHub (MIT).
Is lobu free or open source?
Yes, lobu is open source on GitHub (Apache-2.0).
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Related

Alternatives to kdcube →Alternatives to lobu →kdcube details →lobu details →