Adding more agents does not automatically make a team more capable: without shared context and clear handoffs, parallel workers can duplicate effort or produce results that are hard to combine. AutoSwarm’s central idea is to coordinate the agents people already have, rather than asking them to move to a single all-purpose agent.
AI Agent2026
AutoSwarm
Coordinates AI agents you already use by routing tasks according to their capabilities, sharing context, and combining results. It connects agents through local integrations, making it useful for work that spans tools and workflows.
Introduction
Information
- Websitegithub.com
- OrganizationsHKUDS
- AuthorsZhonghang Li, Zongwei Li, Chao Huang
- Published date2026/07/01
Categories
More Items
AI Infra2026
Builds a semantic context layer for enterprise data that helps agents interpret metrics, entities, and relationships consistently. It validates generated queries against certified definitions and lineage, and returns provenance with answers.
AI Others2026
Collects 31 system prompts, persona definitions, and agent operating specifications targeting 25+ models. It offers material for studying instruction hierarchies and prompt-injection defenses, though behavior varies by model version.
AI Agent2026
Adds AI agents to project boards as teammates: assign them issues or trigger work through comments and schedules. Self-hosting keeps data, model keys, and agent permissions under the team's control.