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AutoAgents Alternatives
Similar projects and alternatives to AutoAgents
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rs-graph-llm
High-performance framework for building interactive multi-agent workflow systems in Rust
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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PraisonAI
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
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awesome-openclaw
A curated list of OpenClaw resources, tools, skills, tutorials & articles. OpenClaw (formerly Moltbot / Clawdbot) — open-source self-hosted AI agent for WhatsApp, Telegram, Discord & 50+ integrations.
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aichat
All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
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neko
Lightweight AI agent runtime targeting Raspberry Pi Zero 2W and low-end VPS. File-based memory, MCP tool support, Telegram integration — all in a single binary. (by superhq-ai)
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better AutoAgents alternative or higher similarity.
AutoAgents discussion
AutoAgents reviews and mentions
Posts with mentions or reviews of AutoAgents.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-03-24.
- Show HN: Running AI agents across environments needs a proper solution
- Show HN: Composable middleware for LLM inference Optimization Passes
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Show HN: Early Research Preview of a Rust-Based Agentic OS Runtime [video]
Hi HN,
We’ve been working on an project called Liquidos — Odessey, and wanted to share an early research preview to get feedback from the community.
Odessey is a Rust-first agent orchestration runtime focused on local-first execution and privacy. It came out of frustration with cloud-heavy agent frameworks that are difficult to reason about, secure, or run reliably on the edge. We wanted something closer to a runtime layer for agents rather than just another workflow abstraction.
Under the hood, Odessey is built on top of our open-source Rust agent framework, AutoAgents, and explores ideas like composing and orchestrating agents locally, skill execution, plugins, and sandboxed runtimes. The long-term direction is toward what we loosely call an agentic operating system — though we’re still pressure-testing whether that framing actually makes sense.
This demo is intentionally limited. It’s a preview of direction rather than a feature-complete product, and we’re sharing it early to learn before open-sourcing the full platform.
We’d really appreciate thoughts on:
Whether you’d consider using something like this, and for what use cases
What would need to exist for real-world adoption
Whether the framing makes sense, or if it should be positioned differently
If you’re interested in agent orchestration, local-first AI tooling, Rust-based runtimes, or alternatives to cloud-centric LLM frameworks, we’d love to hear your perspective.
Open-source agent framework (Rust): https://github.com/liquidos-ai/AutoAgents
If this direction resonates, we’re also keeping a small waitlist at https://liquidos.ai to share updates as the platform evolves.
Happy to answer questions and take critiques.
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AutoAgents – a Rust-Based Multi-Agent Framework for LLM-Powered Intelligence
AutoAgents is a multi-agent framework built in Rust, designed for performance, safety, and scalability. It enables the creation of intelligent, autonomous agents. With AutoAgents, you can build Cloud-Native Agents, Edge-Native Agents, or even Hybrid Models. The framework features a modular architecture with swappable components — memory layers, executors, and communication backends can be replaced with minimal effort.
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Case Study: LiquidOS's AutoAgents --Building Smarter AI Agents in Rust
⭐ Star the repo on Github: AutoAgents 📖 DOCS: https://liquidos-ai.github.io/AutoAgents
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🚀 AutoAgents
💥 Check us out & give a star on Github: https://github.com/liquidos-ai/AutoAgents
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A note from our sponsor - SaaSHub
www.saashub.com | 6 Jun 2026
Stats
Basic AutoAgents repo stats
7
665
9.4
3 days ago
liquidos-ai/AutoAgents is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of AutoAgents is Rust.
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