Agents
tldr: everyone is converging on the same product shape: a general harness that takes a goal, uses tools, and does knowledge work. once every…
tldr: everyone is converging on the same product shape: a general harness that takes a goal, uses tools, and does knowledge work. once every product is a harness, the next frontier is the feedback loo
tldr: everyone is converging on the same product shape: a general harness that takes a goal, uses tools, and does knowledge work. once every product is a harness, the next frontier is the feedback loop that improves it after deployment.
Related
- tldr > evals are the new training data. instead of updating weights, you're updating the agent harness > problem is agents are famous cheate…
- Open Harness, separated from model providers is a critical architectural pattern.
- why not? what in the current harnesses are not bitter lesson-pilled? off top of head: will go away: - planning tools - compaction (or at lea…
- Another banger article from the @LangChain team! Harness evolution combined with specialist local models will be the way forward undoubtedly…
- The ‘agent harness’ is essentially the new runtime. It’s like a lightweight OS around an LLM—handling memory, tool calls, retries, and contr…
- 'Harnesses are intimately tied to memory, which means that by choosing an open harness you are choosing to own your memory, and not have it …
Source: Harrison Chase (X) | 2026-04-07