Meta Muse research series
Practitioner research on Meta's Muse personal agent, model family, coding harness, security architecture, and the future of personal-agent systems.
Muse Spark Open: Active Parameters Do Not Size the Server
Meta's October 15 open-weight release creates a deployment choice. Assess the full weights, KV cache, quantization, parser behavior, and utilization before comparing costs.
Muse Wonder: Test Memory and Persistence Separately
Meta's Muse Wonder release pairs Active Memory with Active Focus. A research assessment of their interaction, benchmark methodology, and a practical ablation study.
Muse for Small Business: The Approval Is Part of the Product
A deeper assessment of Meta's September 29 Muse expansion: connector scope, meaningful approvals, cross-app recovery, and the economics of owner attention.
After Meta Muse: A Research and Publishing Roadmap for Personal-Agent Harnesses
A falsifiable research roadmap for personal-agent harnesses: authorization binding, ambiguous-effect recovery, credential misuse, governed memory, counterparty permission, interfaces, deployment, and reasoning architecture.
Muse Spark, Muse Code, and Glimmer: Meta’s Full Agent Stack
A practitioner map of Meta’s 2026 agent stack: Muse Spark 1.3, Muse Code’s event-sourced multi-agent harness, Glimmer’s local open weights, Model API, voice, avatars, connectors, and AI-glasses distribution.
Meta Muse Under the Hood: A Harness Engineering and Security Review
A practitioner’s review of Meta Muse’s personal-agent architecture: Secure VM isolation, Sentinel authorization, credential surrogation, connectors, browser controls, memory, prompt-injection defenses, and the tests still missing.