Agents
The challenge with agent harnesses is not only building them but distribution. If we want agent products to scale like saas, the interfaces …
The challenge with agent harnesses is not only building them but distribution. If we want agent products to scale like saas, the interfaces and ecosystem still need a fundamental breakthrough. im exci
The challenge with agent harnesses is not only building them but distribution. If we want agent products to scale like saas, the interfaces and ecosystem still need a fundamental breakthrough. 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 models…
Related
- The ‘agent harness’ is essentially the new runtime. It’s like a lightweight OS around an LLM—handling memory, tool calls, retries, and contr…
- 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 s…
- Agent harnesses are spark LangSmith is databricks
- 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…
Source: Harrison Chase (X) | 2026-04-10