Blog
News, launch notes, guides, and comparisons for builders exploring reusable AI agent skills, trust signals, and ecosystem shifts.
Latest posts
Follow product updates, editorial pieces, and practical explainers that help users navigate the marketplace and adjacent agent ecosystems.
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Assemble production agent harnesses with DeepAgents
Use DeepAgents to build long-running task agents with a batteries-included harness for planning, tools, and workflow structure.
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Build enterprise-ready JVM agents with JetBrains Koog
Use JetBrains Koog to define typed, fault-tolerant AI agents that run inside JVM, Kotlin, backend, mobile, or browser contexts.
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Build voice and multimodal agents with Pipecat
Use Pipecat to define realtime voice and multimodal agent pipelines with transports, model providers, tools, and turn-taking tests.
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Build event-driven document agent workflows with LlamaAgents
Use LlamaAgents to define async Python workflow steps, coordinate document-centric agent pipelines, and expose those workflows as services, clients, or deployable agent apps.
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Run an agent across browser and local file workflows with Magentic-UI
Use Microsoft’s Magentic-UI to run supervised browser and local file tasks with an agentic UI, model endpoint, and approval-aware configuration.
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Run terminal-native coding agent workflows with GitHub Copilot CLI
Use GitHub Copilot CLI to plan, edit, debug, explain, and automate repository work from a terminal with GitHub context and approval controls.
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Run supervised desktop and browser agent work inside Agent Zero
Use Agent Zero to give an agent an isolated Linux desktop, browser, plugins, skills, and host connector for supervised file, web, and GUI workflows.
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Run local small-model coding sessions with SmallCode
Use SmallCode as a terminal-native coding agent for 8B-35B local models, with budget-managed context, forgiving tool parsing, TODO-driven planning, and patch-based edits.
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Run asynchronous coding-agent workflows with Open SWE
Deploy an internal coding agent that accepts tasks from GitHub, Slack, or Linear, runs them in isolated sandboxes, and opens pull requests automatically.
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Run controlled cybersecurity agent workflows with CAI
Use CAI to run research and bug-bounty-oriented security agents with model routing, tool integrations, tracing, MCP support, and human oversight.