@vectorize-io/hindsight-all
v0.7.1
Published
Node.js programmatic lifecycle manager for Hindsight — embeds a local hindsight daemon in a Node application. Pair with @vectorize-io/hindsight-client for memory operations.
Readme
@vectorize-io/hindsight-all
Node.js equivalent of the Python hindsight-all package — programmatic lifecycle manager for a local Hindsight daemon. Use this when you want to embed Hindsight in a Node application without hand-rolling subprocess management.
This package deliberately does not ship an HTTP client. Once the daemon is running, talk to it with @vectorize-io/hindsight-client against server.getBaseUrl(). The two packages compose — one owns the daemon process, the other owns the HTTP API surface.
Requirements
- Node.js >= 22 — uses global
fetchandAbortSignal.timeout. uv/uvxonPATH— used to download and run the underlyinghindsight-embeddaemon on first use. Install via https://docs.astral.sh/uv/.
Install
npm install @vectorize-io/hindsight-all @vectorize-io/hindsight-clientExample
import { HindsightServer, consoleLogger } from "@vectorize-io/hindsight-all";
import { HindsightClient } from "@vectorize-io/hindsight-client";
const server = new HindsightServer({
profile: "my-app",
port: 9077,
env: {
HINDSIGHT_API_LLM_PROVIDER: "anthropic",
HINDSIGHT_API_LLM_API_KEY: process.env.ANTHROPIC_API_KEY,
HINDSIGHT_API_LLM_MODEL: "claude-sonnet-4-20250514",
HINDSIGHT_EMBED_DAEMON_IDLE_TIMEOUT: "0",
},
logger: consoleLogger,
});
await server.start();
const client = new HindsightClient({ baseUrl: server.getBaseUrl() });
await client.retain("user-123", "User prefers dark mode and concise answers.", {
documentId: "pref-2026-04-01",
});
const recall = await client.recall("user-123", "what are the user preferences?");
console.log(recall.results);
await server.stop();For a remote Hindsight API, skip HindsightServer entirely and just point HindsightClient at the remote URL.
Open config — forward-compatible with new daemon flags
HindsightServerOptions is designed so every new environment variable or CLI flag in the underlying Hindsight daemon can be used without waiting for a wrapper release:
envaccepts an arbitraryRecord<string, string>. Every entry is exported into the daemon process and written into the profile config via--env KEY=VALUE.extraProfileCreateArgs/extraDaemonStartArgsappend raw args to the respective commands.
Development against a local checkout
If you're hacking on the Python hindsight-embed package in the same monorepo, point the server at the local path — it'll use uv run --directory <path> instead of uvx:
new HindsightServer({
embedPackagePath: "/path/to/hindsight-embed",
// ...
});API surface
HindsightServer— daemon lifecycle (start,stop,checkHealth,getBaseUrl,getProfile).Loggerinterface plussilentLogger(default) andconsoleLoggerhelpers.getEmbedCommand(opts)— low-level helper that returns the[cmd, ...args]tuple used to invoke the underlying Python CLI.
For memory operations (retain, recall, reflect, bank management, stats) use @vectorize-io/hindsight-client.
License
MIT
