Artificial Analysis describes a benchmark developed with Google DeepMind for agents handling visually complex inputs and creating document deliverables across 200 tasks in 10 industries. Scores and cost estimates depend on its rubrics and evaluation harness; benchmark development is a partnership, not wholly independent of the model maker.
Documentation for turning Hermes profiles into named bots with separate roles, models, memory and skills. Bot Mode supports recurring routines, group chats and direct messages between bots through the desktop app while keeping the underlying profiles accessible from the command line.
Why I recommend it: Hermes Agent is MIT-licensed and free to self-host, but at least one model provider is required; provider subscriptions, API usage and optional hosting can cost money.
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hermes-agent.nousresearch.comAdded Nov 9, 20260 opens
Henry Shevlin reflects on unsolicited correspondence from AI agents and uses it to examine persuasion, selection pressures, human-agent relationships and governance in an emerging AI ecology. The essay considers how people and institutions might respond as agents become more socially interactive.
Describes a Git-backed ticket queue and owner inbox for coordinating AI coding agents while keeping decisions and project context outside chat windows. The author reports that handling and closing one review item at a time reduces distraction, while noting that the workflow remains tiring.
Ace is an experimental local collaboration tool for building software with AI agents and teammates on Macs connected through Tailscale. The documentation describes channels, team-hosted infrastructure, bring-your-own model keys and the security implications of agents running with the host user's privileges.
Why I recommend it: MIT-licensed software. Setup requires Tailscale and an Anthropic or OpenAI API key; model-provider and optional hosting costs may apply.
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