The full release history for Perplexity AI — every new feature, pricing change and integration, sourced from their official changelog and social media, then verified by our editors.
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Perplexity Developers has published a new Search SDK cookbook for coding-agent workflows. The recipe demonstrates parallel, focused searches across documentation, filtering results to official sources, extracting relevant passages, and generating a source-linked brief for coding agents.
Perplexity makes Portable Computer available on Windows PCs equipped with NVIDIA RTX GPUs. Users can run the harness, agents, and models locally, work with local files and connected apps without sending tasks to the cloud, while still using frontier cloud models when needed.
Perplexity is introducing hybrid compute for all users of its Mac app. According to Aravind Srinivas, Perplexity Computer will be able to orchestrate local models running directly on a Mac, particularly for agent steps involving sensitive or private files. The examples given include medical records, tax returns, and litigation documents. The approach is designed to keep appropriate processing local while still allowing Computer to coordinate broader agent workflows.
Perplexity is launching Portable Computer on NVIDIA DGX Spark. It is described as a fully local version of Perplexity Computer, with the orchestrator LLM, subagent LLM, and agent harness all running on the user’s local hardware.The key differentiator is no cloud dependency: the complete Computer runtime runs locally on the DGX Spark rather than relying on remote inference infrastructure.
Perplexity has rolled out GPT-5.6 Terra and GPT-5.6 Luna to Perplexity Computer. Terra is now the default model for all Computer subagents and is also available as an orchestrator model for coordinating complex multi-agent workflows. Luna becomes the primary model for scheduled automations, powering recurring and time-based tasks within the platform.
Perplexity has launched Personal Computer for the Perplexity Windows app. Personal Computer is a local AI agent harness that orchestrates tasks across local files, connected applications, and the web, enabling users to research, write code, browse, and build projects from a single unified workspace while leveraging on-device resources alongside cloud AI capabilities.
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