Lloyal

Lloyal is an intelligence runtime that lets developers ship apps with embedded models and multi-agent systems.

Lloyal is an intelligence runtime that allows developers to write apps in TypeScript and compose local models directly inside them. It provides a multi-agent runtime where agents share attention state and memory via a shared KV cache, reducing inference costs across parallel tasks. The platform supports tool calling, MCP, skills, and inference-native abilities that execute inside the model. Developers can ship the application as a desktop app, CLI tool, or web app that operates offline or on custom infrastructure. The same codebase runs local models on a laptop or scales to larger hardware configurations.

Lloyal at a glance

Best for: Software engineer
Runs on: Web, macOS, Windows, Linux, CLI, self-hosted, open source
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: lloyal.ai

Key features

Compose local models in TypeScript apps
Spawn multiple agents sharing attention state
Execute inference-native abilities
Share KV cache across agents without extra memory copies
Run applications offline without user API keys
Scale from local hardware to cluster deployments
Support tool calling and MCP integrations

Use it for

Building offline-capable desktop applications with embedded AI
Running parallel multi-agent research tasks with shared memory
Executing local document research and generating cited reports
Deploying TypeScript apps with built-in inference runtimes

Alternatives to Lloyal

LMDeploy — Accelerates inference with high-performance engines and quantization tools.
llm-d — Deploys production-grade LLM serving on existing hardware clusters.
Alook — Connects existing local coding agents to team communication channels.
Lody — Run coding agents in parallel with isolated worktrees and live diff reviews.
Sandcastle — Orchestrates AI coding agents in isolated Docker, Podman, or Vercel sandboxes.
SmallCode — Runs fully local with budget-managed context and a forgiving parser for small models.
Golem — Provides type-safe agent abstractions and zero-dependency Go implementation.
Murmell — Run and coordinate multiple AI coding agents in one shared cloud canvas.
VULK — Generates complete full-stack apps with backend, auth, and database in one click.
Langroid — Simplifies multi-agent orchestration and app development with intuitive abstractions.
Loushang — It provides persistent sessions, model routing, and method-guided code delivery.
WebLLM — Runs high-performance language models directly inside web browsers.

All Lloyal alternatives