OpenAI Dot vs. Meta Muse: how do these AI agents compare?
Meta's Muse and OpenAI's Dot are new AI agents in direct competition. Engadget compares what each can do, what they cost and who can use them.
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Self-Compacting Language Model Agents
Apple researchers propose SELFCOMPACT, a way for language model agents to decide for themselves when to compress their long traces of reasoning and tool calls. Current scaffolds compact at a fixed token threshold, which can throw away partial results in the middle of a task.
Meta's Muse Wonder now available on Vercel AI Gateway
Vercel has added Meta's Muse Wonder to its AI Gateway, so developers can call it with a single API key and no Meta account. The model targets coding, long-running agents and computer use, with a 1-million-token context window and support for text, images, PDFs, tool calling and structured output.
BotMan AI uses knowledge graphs for legacy modernization
BotMan AI's migration pipeline maps an application's dependencies, business logic and data models into a knowledge graph. That context helps AI agents understand the system they are rebuilding.
Why AI agents might not be right for you
AI agents are now used widely for coding, customer service, IT operations and complex enterprise tasks. A SiliconANGLE column argues they are nonetheless not the right fit for every organization.
Hermes Agent 0.21.7 makes source installs follow tagged releases
Hermes Agent 0.21.7 is a patch release that bundles about 204 merged changes into a stable build for the desktop app, Docker and Hermes Cloud. Source installs now update to the latest published release rather than every commit on the main branch, with an option to keep following main.