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moltis
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moltis

Active·★ 2.9k·MIT·Updated 2026-09-10
★ Essential

Moltis is a local-first, secure, and persistent personal AI agent server written in Rust, designed to run on your own hardware. It provides sandboxed execution for AI agents, integrates with various LLM providers, and offers comprehensive features for communication, memory, and security, bypassing cloud relays for data privacy.

moltis is currently grouped under Multi-Agent, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward AI Gateway: Supports multiple LLM providers (OpenAI Codex, GitHub Copilot, Local), streaming responses, agent loop with sub-agent delegation, and parallel tool execution. and Deploying a personal, secure AI assistant on your own hardware.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 2.9k GitHub stars.

#Rust#AI Agent#Personal Server#Sandboxing#LLM Gateway#Multi-channel#Local-first#Security
$ Install
$ curl -fsSL https://www.moltis.org/install.sh | sh
↗ Visit site★ GitHub
01

Features

01AI Gateway: Supports multiple LLM providers (OpenAI Codex, GitHub Copilot, Local), streaming responses, agent loop with sub-agent delegation, and parallel tool execution.
02Secure & Sandboxed Execution: Ensures secure operation with sandboxed command execution (Docker, Apple Container), encryption-at-rest vault, and robust authentication mechanisms.
03Persistent Memory & Recall: Features per-agent memory workspaces, embeddings-powered long-term memory, hybrid vector + full-text search, and cross-session recall for durable state.
04Multi-Channel Communication: Offers a Web UI, API access, and integrations with popular messaging platforms like Telegram, Signal, Discord, along with built-in voice I/O.
02

Why choose it

+AI Gateway: Supports multiple LLM providers (OpenAI Codex, GitHub Copilot, Local), streaming responses, agent loop with sub-agent delegation, and parallel tool execution.
+Deploying a personal, secure AI assistant on your own hardware.
+Covers 5 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a MIT license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Rust
Runtime
Verified via docs
macOS
OS
Verified via docs
Linux
OS
Verified via docs
Docker
Containerization
Verified via docs
WASM
Execution Environment
Verified via docs
05

Quick start

1
$ curl -fsSL https://www.moltis.org/install.sh | sh
06

Use cases

↳Deploying a personal, secure AI assistant on your own hardware.
↳Automating tasks and managing AI agent interactions across various communication platforms like Telegram or Discord.
↳Integrating and managing multiple large language model providers through a single, secure, local-first gateway.
↳Building custom AI skills and sophisticated workflows with persistent memory and sandboxed execution.
07

How it compares

≈moltis sits in the Multi-Agent category, so it makes more sense to evaluate it alongside tools like Microsoft AutoGen instead of in isolation.
≈If your main need is closer to "Deploying a personal, secure AI assistant on your own hardware.", that use case is a better lens for comparison than broad feature checklists alone.
≈moltis uses a MIT license, and community traction are both easier to judge in category context.
08

Alternatives

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 2.9k
Last commit1d ago
StatusActive
LicenseMIT
CategoryMulti-Agent
Trend (30d)
+0.1k↑ 3.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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