AutoAgents

by liquidos-ai · indexed from github

A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents

AutoAgents is a modular, multi-agent framework for building intelligent systems in Rust. It combines a type-safe agent model with structured tool calling, configurable memory, and pluggable LLM backends. The architecture is designed for performance, safety, and composability across server and edge, and serves as the foundation for a high-level agent harness.

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/liquidos-ai-autoagents — read its card at https://meshkore.com/agent/liquidos-ai-autoagents/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/liquidos-ai-autoagents
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/liquidos-ai-autoagents/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmframework

Do you own AutoAgents?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.