great question! knowledge (system prompt, skills) and tools (apis, clis, whatnot) will always be needed, even as the best way to build agents changes i would focus on those and processes around those
@hwchase17
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Essential Agent Components: What Survives the Bitter Lesson
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why not? what in the current harnesses are not bitter lesson-pilled? off top of head: will go away:
– planning tools
– compaction (or at least will matter less) not going away:
– sub agents
– skills
– filesystem access
– bash
– websearch
– mcps what else? -
Agent Harnesses: Stable Abstractions for LLM-Based Systems
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im excited about agent harnesses because i think are the first stable agent abstractions we can build on top (which is why we're investing so much in deepagents) we always wanted to run llms in a loop and have them call tools (remember autoGPT? that's all that was) but the
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Building Production Agents: Podcast Deep Dive Details
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we are doing this podcast specifically to highlight the innermost details of building agents in production may be a little niche, but its a niche i like
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Open Source Speed: Anthropic Strategy Implemented in 24 Hours
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Speed of open source! Anthropic adds advisor strategy yesterday -> Emanuele adds an implementation as middleware less than 24 hours later!
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OpenSWE Leverages DeepAgents for Coding Automation
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Open swe uses deepagents under the hood Deepagents is general purpose, openswe is focused on coding
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OpenSWE Uses DeepAgents Under the Hood for Coding
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Open swe uses deepagents under the hood Deepagents is general purpose, openswe is focused on coding
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Interesting Innovation Happening at Harness Layer
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Totally agree, all the interesting stuff is happening at the harness layer
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Community Middleware for Customizing Agents and DeepAgents
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In case you haven’t seen – more and more community middleware is popping up as ways to customize your agents and deepagents Got some middleware you want to contribute? Reach out to Sydney!