Fix typos in README
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@ -36,7 +36,7 @@ Hindsight is being used in production at Fortune 500 enterprises and by a growin
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## Adding Hindsight to Your AI Agents
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The easiest way use Hindsight with an existing agent is with the LLM Wrapper. You can add memory to your agent with 2 lines of code. That will swap your current LLM client out with the Hindsight wrapper. After that, memories will be stored and retrieved automatically as you make LLM calls.
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The easiest way to use Hindsight with an existing agent is with the LLM Wrapper. You can add memory to your agent with 2 lines of code. That will swap your current LLM client out with the Hindsight wrapper. After that, memories will be stored and retrieved automatically as you make LLM calls.
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If you need more control over how and when your agent stores and recalls memories, there's also a simple API you can integrate with using the SDKs or directly via HTTP.
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@ -181,7 +181,7 @@ Satisfying these requirements in Hindsight is straightforward. When new user inp
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Most agent memory implementation rely on basic vector search or sometimes use a knowledge graph. Hindsight uses biomimetic data structures to organize agent memories in a way that is more like how human memory works:
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Most agent memory implementations rely on basic vector search or sometimes use a knowledge graph. Hindsight uses biomimetic data structures to organize agent memories in a way that is more like how human memory works:
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- **World:** Facts about the world ("The stove gets hot")
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- **Experiences:** Agent's own experiences ("I touched the stove and it really hurt")
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@ -307,3 +307,5 @@ MIT — see [LICENSE](./LICENSE)
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---
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Built by [Vectorize.io](https://vectorize.io)
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<img src="https://umami-pixel.chris-latimer.workers.dev/?id=a8b043e6-6964-454d-80df-69b69d3f0d50&host=github.com&url=/vectorize-io/hindsight" width="1" height="1" alt="" />
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