@vectorize-io/hindsight-client
v0.6.1
Published
TypeScript client for Hindsight - Semantic memory system with personality-driven thinking
Readme
Hindsight TypeScript Client
TypeScript client library for the Hindsight API.
Installation
npm install @vectorize-io/hindsight-client
# or
yarn add @vectorize-io/hindsight-clientUsage
import { HindsightClient } from "@vectorize-io/hindsight-client";
const client = new HindsightClient({ baseUrl: "http://localhost:8888" });
// Retain information
await client.retain("my-bank", "Alice works at Google in Mountain View.");
// Recall memories
const results = await client.recall("my-bank", "Where does Alice work?");
// Reflect and get an opinion
const response = await client.reflect("my-bank", "What do you think about Alice's career?");API Reference
retain(bankId, content, options?)
Store a single memory.
await client.retain("my-bank", "User prefers dark mode", {
timestamp: new Date(),
context: "Settings conversation",
metadata: { source: "chat" },
});retainBatch(bankId, items, options?)
Store multiple memories in batch.
await client.retainBatch(
"my-bank",
[{ content: "Alice loves hiking" }, { content: "Alice visited Paris last summer" }],
{ async: true }
);recall(bankId, query, options?)
Recall memories matching a query.
const results = await client.recall("my-bank", "What are Alice's hobbies?", {
budget: "mid",
});reflect(bankId, query, options?)
Generate a contextual answer using the bank's identity and memories.
const response = await client.reflect("my-bank", "What should I do this weekend?", {
budget: "low",
});
console.log(response.text);createBank(bankId, options)
Create or update a memory bank with personality.
await client.createBank("my-bank", {
name: "My Assistant",
background: "A helpful assistant that remembers everything.",
});Documentation
For full documentation, visit hindsight.
