AgentIndex icon
AgentIndex
lobu logo
lobu
★ 230
vs
sema logo
sema
★ 54

lobu vs sema

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.; sema: Sema is a Lisp dialect that integrates LLM agents as core language primitives, providing a robust runtime that handles common agent scaffolding like retries, caching, and tool dispatch. It compiles to a fast bytecode VM, allowing LLM-powered scripts to be concise, shipped as single binaries, and easily understood by coding agents.

01

TL;DR

lobu logo
lobuLLM Infra · ★ 230

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

Read lobu full review →
sema logo
semaLLM Infra · ★ 54

Building full coding agents with file editing, search, and shell tools.

Read sema full review →
02

Side-by-Side Comparison

Field
lobu logolobu
sema logosema
Category
LLM Infra
LLM Infra
Stars
★ 230
★ 54
License
Apache-2.0
MIT
Install Command
npx @lobu/cli@latest init my-bot && cd my-bot && npx @lobu/cli@latest run
curl -fsSL https://sema-lang.com/install.sh | sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Autonomous Agents, AI Infrastructure, Multi-tenant
Lisp, LLM Agents, Bytecode VM
03

Features

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.
sema logosema
01LLMs as language primitives: Prompts, messages, conversations, tools, and agents are first-class data types.
02Multi-provider support: Seamlessly swap between various LLM providers like Anthropic, OpenAI, Gemini, and custom ones.
03Integrated agent runtime: Handles common scaffolding like retries, caching, rate limits, and tool dispatch automatically.
04Full developer toolchain: Includes a formatter, language server (LSP), debugger (DAP), and an MCP server.
05Standalone executables: Compile Sema programs into self-contained binaries with auto-traced imports.
04

Use Cases

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.
sema logosema
↳Building full coding agents with file editing, search, and shell tools.
↳AI-powered code review for git diffs and generating conventional commit messages.
↳Structured data extraction, classification, and multi-modal chat from text and images.
↳Implementing RAG (Retrieval-Augmented Generation) with in-memory vector stores and cross-encoder reranking.
↳Developing general-purpose applications with Lisp features, HTTP, JSON, and file I/O.
05

Best For

lobu logolobu
Hidden Gem
sema logosema
—
FAQ

FAQ

What is the difference between lobu and sema?
Both lobu and sema are in the LLM Infra category. lobu has 230 stars, while sema has 54 stars.
Which is better, lobu or sema?
The best choice depends on your use case. Choose lobu if Employee AI assistants: Deploy persistent, sandboxed agents on Slack wired into internal tools and documentation., and sema if Building full coding agents with file editing, search, and shell tools..
Is lobu free or open source?
Yes, lobu is open source on GitHub (Apache-2.0).
Is sema free or open source?
Yes, sema is open source on GitHub (MIT).
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Alternatives to lobu →Alternatives to sema →lobu details →sema details →