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Add higher-level harness for task planning, subagent spawning, and long-term memory

User notes the absence of a higher-level harness in some frameworks, similar to LangChain's Deep Agents SDK, which provides built-in task planning, subagent spawning, filesystem-based context management, and long-term memory. These are seen as crucial capabilities for advanced agent development.

Original Source

@Mike Chambers | 70 pts

🎁 Let's take a look at the leading agent frameworks in 2026. I have data, I have code! >> https://lnkd.in/g2MfgV3X I’ve been building with agent frameworks for a couple of years now. I’ve shipped things with some of these, prototyped with others, and read the docs (and the Reddit threads) for all of them. This post is the comparison I wish existed when I started. Honest, code-first, and not written by any of the projects’ marketing teams (well… I work for AWS, creators of Strands, but my thoughts are my own, heavily assisted by my own team of agents). Nine frameworks made this list. Not because they’re the only ones, but because they’re the ones developers are actually using, talking about, and building production systems with. #autogen CrewAI #googleADK LangGraph AI LlamaIndex #openaisdk Pydantic #smolagents #strandsagents Thoughts? Please add a comment. Like? Then please share.

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