Agents
the most important abstraction in AI agents isnt the model — its the harness it orchestrates tools, memory, prompts. this is where all the a…
the most important abstraction in AI agents isnt the model — its the harness it orchestrates tools, memory, prompts. this is where all the alpha is deepagents is our take: built-in tools, memory, smar
the most important abstraction in AI agents isnt the model — its the harness it orchestrates tools, memory, prompts. this is where all the alpha is deepagents is our take: built-in tools, memory, smart defaults on langgraph https://docs.langchain.com/oss/python/deepagents/overview
Related
- @hwchase17 middleware was the right abstraction for it too. way more adoptable than asking everyone to restructure their agent setup
- anyways, try out deepagents https://github.com/langchain-ai/deepagents
- Another banger article from the @LangChain team! Harness evolution combined with specialist local models will be the way forward undoubtedly…
- deepagents is a harness / planning tool, filesystem backend, subagent spawning, memory management / thats the stack that matters / models ar…
- @hwchase17 Exactly. he harness is where the 'soul' of the agent lives. Excited to see how Deep Agents and LangChain can keep pushing this la…
- Most illuminating graph I have seen for definition of harness. Memory and context are deeply coupled with harness. In my humble opinion, how…
Source: Harrison Chase (X) | 2026-04-12