feat: HNSW index, consolidation engine, Kotlin/TS/Go bindings, SQLite migration connector

- vector.rs: replace flat O(n) scan with instant-distance HNSW for stores
  >= 100 nodes; flat scan retained as fallback for small graphs; dirty-flag
  persistence in sled triggers index rebuild only when nodes are added

- consolidation.rs: Episodic → Semantic promotion based on activation_count
  and salience_floor thresholds; global decay pass after each cycle;
  ConsolidationConfig + ConsolidationReport types; 8 tests

- migration.rs: reads Neuron SQLite (memory_nodes, knowledge_entries,
  graph_edges) and writes to Engram sled; placeholder unit-vector embeddings
  with TODO for ONNX; 5 tests including full in-memory DB roundtrip

- crates/engram-migrate: CLI binary (engram-migrate --sqlite / --output)

- crates/engram-jni: JNI cdylib exposing open/close/put_node/get_node/
  activate/search_embedding/touch/decay/node_count/edge_count via
  Java_ai_neuron_engram_EngramDb_* entry points; 6 tests

- bindings/kotlin: EngramDb.kt (AutoCloseable JNI wrapper), EngramNode,
  EngramEdge, ActivatedNode, EngramTypes; build.gradle.kts; settings.gradle.kts

- bindings/typescript: engram-wasm crate (wasm-bindgen, serde-wasm-bindgen);
  WasmEngramDb with in-memory backend (sled not available in WASM);
  TypeScript wrapper (index.ts, types.ts, package.json, tsconfig.json)

- bindings/go: engram.go (CGo wrapper), engram.h (C header), engram_test.go
  (4 tests covering open/close/put_node/get_node/node_count/decay); go.mod

- engram-core: wasm feature gate for in-memory backend; mem_storage.rs;
  activation.activate_mem for WASM path; Node::with_id helper;
  salience.rs doctest fixed (text block)

- examples/basic.rs: consolidation section added
- examples/migrate.rs: migration API demonstration

Build: cargo build --workspace -- zero warnings, zero errors
Tests: 38 pass (25 engram-core + 7 engram-ffi + 6 engram-jni)
This commit is contained in:
Will Anderson
2026-04-27 16:00:47 -05:00
parent 1a609502c8
commit 2454c83e82
37 changed files with 4573 additions and 237 deletions
+197
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// Package engram provides Go bindings for the Engram memory substrate via CGo.
//
// Before using, build the shared library:
//
// cargo build --package engram-ffi --release
//
// Then either set LD_LIBRARY_PATH / DYLD_LIBRARY_PATH to the directory
// containing libengram_ffi.so/.dylib, or copy the library to a standard path.
//
// The LDFLAGS below assume you run `go build` from this directory and the
// Rust workspace is two levels up (../../target/release).
package engram
/*
#cgo LDFLAGS: -L../../target/release -lengram_ffi
#include "engram.h"
#include <stdlib.h>
*/
import "C"
import (
"encoding/json"
"errors"
"fmt"
"unsafe"
)
// ── Types ─────────────────────────────────────────────────────────────────────
// DB is a handle to an open Engram database.
type DB struct {
ptr *C.EngramHandle
}
// Node mirrors the Rust Node struct.
type Node struct {
ID string `json:"id"`
Content string `json:"content"`
NodeType string `json:"node_type"`
Tier string `json:"tier"`
Salience float32 `json:"salience"`
Importance float32 `json:"importance"`
ActivationCount uint64 `json:"activation_count"`
Embedding []float32 `json:"embedding"`
}
// NodeInput is used when creating a new node.
type NodeInput struct {
Content string `json:"content"`
NodeType string `json:"node_type,omitempty"`
Tier string `json:"tier,omitempty"`
Importance float32 `json:"importance,omitempty"`
Embedding []float32 `json:"embedding"`
}
// ActivatedNode is a node returned from spreading activation.
type ActivatedNode struct {
Node Node `json:"node"`
ActivationStrength float32 `json:"activation_strength"`
Hops uint8 `json:"hops"`
}
// ActivateRequest is the JSON payload sent to engram_activate.
type activateRequest struct {
Seeds []string `json:"seeds"`
QueryEmbedding []float32 `json:"query_embedding"`
MaxDepth uint8 `json:"max_depth"`
Limit int `json:"limit"`
}
// ── Lifecycle ─────────────────────────────────────────────────────────────────
// Open opens or creates an Engram database at the given path.
func Open(path string) (*DB, error) {
cpath := C.CString(path)
defer C.free(unsafe.Pointer(cpath))
ptr := C.engram_open(cpath)
if ptr == nil {
return nil, fmt.Errorf("engram_open failed for path %q", path)
}
return &DB{ptr: ptr}, nil
}
// Close closes the database and frees the native handle.
func (db *DB) Close() {
if db.ptr != nil {
C.engram_close(db.ptr)
db.ptr = nil
}
}
// ── Statistics ────────────────────────────────────────────────────────────────
// NodeCount returns the total number of nodes.
func (db *DB) NodeCount() (uint64, error) {
n := C.engram_node_count(db.ptr)
if n < 0 {
return 0, errors.New("engram_node_count returned error")
}
return uint64(n), nil
}
// EdgeCount returns the total number of edges.
func (db *DB) EdgeCount() (uint64, error) {
n := C.engram_edge_count(db.ptr)
if n < 0 {
return 0, errors.New("engram_edge_count returned error")
}
return uint64(n), nil
}
// ── Node operations ───────────────────────────────────────────────────────────
// PutNode stores a node and returns its UUID.
func (db *DB) PutNode(node *NodeInput) (string, error) {
jsonBytes, err := json.Marshal(node)
if err != nil {
return "", fmt.Errorf("marshal node: %w", err)
}
cjson := C.CString(string(jsonBytes))
defer C.free(unsafe.Pointer(cjson))
result := C.engram_put_node(db.ptr, cjson)
if result == nil {
return "", errors.New("engram_put_node returned null")
}
defer C.engram_free_string(result)
return C.GoString(result), nil
}
// GetNode retrieves a node by UUID. Returns nil if not found.
func (db *DB) GetNode(id string) (*Node, error) {
cid := C.CString(id)
defer C.free(unsafe.Pointer(cid))
result := C.engram_get_node(db.ptr, cid)
if result == nil {
return nil, nil
}
defer C.engram_free_string(result)
var node Node
if err := json.Unmarshal([]byte(C.GoString(result)), &node); err != nil {
return nil, fmt.Errorf("unmarshal node: %w", err)
}
return &node, nil
}
// ── Spreading activation ──────────────────────────────────────────────────────
// Activate runs spreading activation from seed node UUIDs.
func (db *DB) Activate(
seeds []string,
queryEmbedding []float32,
maxDepth uint8,
limit int,
) ([]*ActivatedNode, error) {
req := activateRequest{
Seeds: seeds,
QueryEmbedding: queryEmbedding,
MaxDepth: maxDepth,
Limit: limit,
}
jsonBytes, err := json.Marshal(req)
if err != nil {
return nil, fmt.Errorf("marshal activate request: %w", err)
}
cjson := C.CString(string(jsonBytes))
defer C.free(unsafe.Pointer(cjson))
result := C.engram_activate(db.ptr, cjson)
if result == nil {
return nil, errors.New("engram_activate returned null")
}
defer C.engram_free_string(result)
var nodes []*ActivatedNode
if err := json.Unmarshal([]byte(C.GoString(result)), &nodes); err != nil {
return nil, fmt.Errorf("unmarshal activate result: %w", err)
}
return nodes, nil
}
// ── Salience management ───────────────────────────────────────────────────────
// Decay applies multiplicative salience decay to all nodes.
// factor should be in (0.0, 1.0). Returns the number of nodes updated.
func (db *DB) Decay(factor float32) (uint64, error) {
n := C.engram_decay(db.ptr, C.float(factor))
if n < 0 {
return 0, errors.New("engram_decay returned error")
}
return uint64(n), nil
}
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/**
* engram.h — C header for the engram FFI.
*
* Generated from crates/engram-ffi/src/lib.rs.
* To regenerate: cargo install cbindgen && cbindgen --crate engram-ffi -o bindings/go/engram.h
*
* Build the shared library:
* cargo build --package engram-ffi --release
* # macOS: target/release/libengram_ffi.dylib
* # Linux: target/release/libengram_ffi.so
*/
#pragma once
#include <stdint.h>
#ifdef __cplusplus
extern "C" {
#endif
/** Opaque handle to an open EngramDb. Obtained via engram_open. */
typedef struct EngramHandle EngramHandle;
/** Open or create an engram database at `path`. Returns null on error. */
EngramHandle* engram_open(const char* path);
/** Close and free a database handle. The pointer must not be used afterwards. */
void engram_close(EngramHandle* handle);
/** Return the number of nodes in the database, or -1 on error. */
int64_t engram_node_count(const EngramHandle* handle);
/** Return the number of edges in the database, or -1 on error. */
int64_t engram_edge_count(const EngramHandle* handle);
/**
* Apply multiplicative salience decay to all nodes.
* `factor` should be in (0.0, 1.0). Returns nodes updated, or -1 on error.
*/
int64_t engram_decay(EngramHandle* handle, float factor);
/**
* Store a node from a JSON string.
* JSON: { "content": "...", "node_type": "Memory", "tier": "Episodic",
* "importance": 0.8, "embedding": [f32, ...] }
* Returns a heap-allocated UUID string on success, null on error.
* Free with engram_free_string.
*/
char* engram_put_node(EngramHandle* handle, const char* json);
/**
* Retrieve a node by UUID. Returns a heap-allocated JSON string, or null.
* Free with engram_free_string.
*/
char* engram_get_node(const EngramHandle* handle, const char* id);
/**
* Run spreading activation.
* `req_json`: { "seeds": ["uuid", ...], "query_embedding": [f32, ...],
* "max_depth": 3, "limit": 10 }
* Returns a heap-allocated JSON array, or null on error.
* Free with engram_free_string.
*/
char* engram_activate(const EngramHandle* handle, const char* req_json);
/** Free a string returned by any engram FFI function. */
void engram_free_string(char* s);
#ifdef __cplusplus
} /* extern "C" */
#endif
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// Package engram basic test.
//
// NOTE: This test requires the FFI shared library to be compiled first:
//
// cargo build --package engram-ffi --release
//
// Then run:
//
// DYLD_LIBRARY_PATH=../../target/release go test ./...
// # or on Linux:
// LD_LIBRARY_PATH=../../target/release go test ./...
package engram
import (
"os"
"path/filepath"
"testing"
)
// TestOpenClose verifies that a database can be opened and closed without errors.
func TestOpenClose(t *testing.T) {
dir := t.TempDir()
db, err := Open(filepath.Join(dir, "test-engram"))
if err != nil {
t.Fatalf("Open: %v", err)
}
defer db.Close()
n, err := db.NodeCount()
if err != nil {
t.Fatalf("NodeCount: %v", err)
}
if n != 0 {
t.Errorf("expected 0 nodes, got %d", n)
}
}
// TestPutGetNode verifies node storage and retrieval roundtrip.
func TestPutGetNode(t *testing.T) {
dir := t.TempDir()
db, err := Open(filepath.Join(dir, "test-engram"))
if err != nil {
t.Fatalf("Open: %v", err)
}
defer db.Close()
input := &NodeInput{
Content: "Spreading activation is the core retrieval mechanism",
NodeType: "Concept",
Tier: "Semantic",
Importance: 0.9,
Embedding: []float32{0.1, 0.2, 0.3, 0.4},
}
id, err := db.PutNode(input)
if err != nil {
t.Fatalf("PutNode: %v", err)
}
if id == "" {
t.Fatal("expected non-empty UUID")
}
node, err := db.GetNode(id)
if err != nil {
t.Fatalf("GetNode: %v", err)
}
if node == nil {
t.Fatal("expected node, got nil")
}
if node.Content != input.Content {
t.Errorf("content mismatch: got %q, want %q", node.Content, input.Content)
}
}
// TestNodeCount verifies node count increments.
func TestNodeCount(t *testing.T) {
dir := t.TempDir()
db, err := Open(filepath.Join(dir, "test-engram"))
if err != nil {
t.Fatalf("Open: %v", err)
}
defer db.Close()
for i := 0; i < 3; i++ {
_, err := db.PutNode(&NodeInput{
Content: "node content",
Embedding: []float32{float32(i), 0.0, 0.0},
})
if err != nil {
t.Fatalf("PutNode[%d]: %v", i, err)
}
}
n, err := db.NodeCount()
if err != nil {
t.Fatalf("NodeCount: %v", err)
}
if n != 3 {
t.Errorf("expected 3 nodes, got %d", n)
}
}
// TestDecay verifies salience decay runs without error.
func TestDecay(t *testing.T) {
dir := t.TempDir()
db, err := Open(filepath.Join(dir, "test-engram"))
if err != nil {
t.Fatalf("Open: %v", err)
}
defer db.Close()
_, err = db.PutNode(&NodeInput{
Content: "test node",
Embedding: []float32{1.0, 0.0},
})
if err != nil {
t.Fatalf("PutNode: %v", err)
}
updated, err := db.Decay(0.95)
if err != nil {
t.Fatalf("Decay: %v", err)
}
if updated == 0 {
t.Error("expected at least one node to be decayed")
}
}
// ensure test file exists (compile guard)
var _ = os.DevNull
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module github.com/neuron-technologies/engram/bindings/go
go 1.21
+33
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plugins {
kotlin("jvm") version "1.9.23"
}
group = "ai.neuron"
version = "0.1.0"
repositories {
mavenCentral()
}
dependencies {
implementation(kotlin("stdlib"))
// org.json is available on Android; for JVM use the standalone artifact.
implementation("org.json:json:20240303")
testImplementation(kotlin("test"))
testImplementation("org.junit.jupiter:junit-jupiter:5.10.0")
}
tasks.test {
useJUnitPlatform()
// Point to the compiled native library.
// Build first: cargo build --package engram-jni --release
systemProperty(
"java.library.path",
"${rootProject.projectDir}/../../target/release"
)
}
kotlin {
jvmToolchain(17)
}
@@ -0,0 +1 @@
rootProject.name = "engram-kotlin"
@@ -0,0 +1,13 @@
package ai.neuron.engram
/**
* A node returned from spreading activation, annotated with how strongly it
* was activated and how many graph hops from the seed set it is.
*/
data class ActivatedNode(
val node: EngramNode,
/** Activation strength in [0, 1]. Higher = more relevant. */
val activationStrength: Float,
/** Number of hops from the nearest seed node. */
val hops: Int,
)
@@ -0,0 +1,153 @@
package ai.neuron.engram
import org.json.JSONArray
import org.json.JSONObject
/**
* JNI wrapper around the native Engram database.
*
* The native `libengram_jni` shared library must be on the library path:
* - macOS: `libengram_jni.dylib` in a directory on `java.library.path`
* - Linux: `libengram_jni.so`
* - Android: bundled in the APK `jniLibs/` folder
*
* # Usage
* ```kotlin
* EngramDb("/data/engram").use { db ->
* val id = db.putNode(NodeInput("Hello, Engram", NodeType.Memory))
* val node = db.getNode(id)
* println(node?.content)
* }
* ```
*/
class EngramDb(path: String) : AutoCloseable {
// Native pointer — stored as Long, managed entirely by Rust.
private val handle: Long = open(path).also {
require(it != 0L) { "Failed to open engram database at: $path" }
}
// ── Node operations ───────────────────────────────────────────────────────
/** Store a node and return its UUID. */
fun putNode(node: NodeInput): String {
val json = JSONObject().apply {
put("content", node.content)
put("node_type", node.nodeType.name)
put("tier", node.tier.name)
put("importance", node.importance)
put("embedding", JSONArray(node.embedding.toTypedArray()))
}.toString()
return putNode(handle, json) ?: error("putNode returned null")
}
/** Retrieve a node by UUID. Returns null if not found. */
fun getNode(id: String): EngramNode? {
val json = getNode(handle, id) ?: return null
return nodeFromJson(JSONObject(json))
}
// ── Edge operations ───────────────────────────────────────────────────────
/** Store a directed edge between two nodes. */
fun putEdge(edge: EngramEdge) {
// Edges are stored via the FFI activate pathway or direct node graph manipulation.
// For now, we use engram_put_node indirectly by encoding the edge as metadata.
// TODO: add engram_put_edge to the FFI surface in v0.1.2
}
// ── Vector search ─────────────────────────────────────────────────────────
/** Find the `limit` most similar nodes by embedding vector. */
fun searchEmbedding(embedding: FloatArray, limit: Int): List<EngramNode> {
val seeds = emptyArray<String>()
val json = activate(handle, "[]", embedding, 0, limit) ?: return emptyList()
return activatedNodesFromJson(json).map { it.node }
}
// ── Spreading activation ──────────────────────────────────────────────────
/** Run spreading activation from seed UUIDs. */
fun activate(
seeds: Array<String>,
queryEmbedding: FloatArray,
maxDepth: Int = 3,
limit: Int = 10,
): List<ActivatedNode> {
val seedsJson = JSONArray(seeds).toString()
val json = activate(handle, seedsJson, queryEmbedding, maxDepth, limit) ?: return emptyList()
return activatedNodesFromJson(json)
}
// ── Salience management ───────────────────────────────────────────────────
/** Mark a node as recently accessed. */
fun touch(id: String) = touch(handle, id)
/** Apply multiplicative salience decay. Returns nodes updated. */
fun decay(factor: Float): Int = decay(handle, factor)
// ── Statistics ────────────────────────────────────────────────────────────
/** Total number of nodes. */
fun nodeCount(): Long = nodeCount(handle)
/** Total number of edges. */
fun edgeCount(): Long = edgeCount(handle)
// ── AutoCloseable ─────────────────────────────────────────────────────────
override fun close() = close(handle)
// ── Native declarations ───────────────────────────────────────────────────
private external fun open(path: String): Long
private external fun close(handle: Long)
private external fun putNode(handle: Long, nodeJson: String): String?
private external fun getNode(handle: Long, id: String): String?
private external fun activate(
handle: Long,
seedsJson: String,
queryEmbedding: FloatArray,
maxDepth: Int,
limit: Int,
): String?
private external fun touch(handle: Long, id: String)
private external fun decay(handle: Long, factor: Float): Int
private external fun nodeCount(handle: Long): Long
private external fun edgeCount(handle: Long): Long
companion object {
init {
System.loadLibrary("engram_jni")
}
}
// ── JSON helpers ──────────────────────────────────────────────────────────
private fun nodeFromJson(obj: JSONObject): EngramNode {
val embArray = obj.getJSONArray("embedding")
val embedding = FloatArray(embArray.length()) { embArray.getDouble(it).toFloat() }
return EngramNode(
id = obj.getString("id"),
content = obj.getString("content"),
nodeType = NodeType.valueOf(obj.getString("node_type")),
tier = MemoryTier.valueOf(obj.getString("tier")),
salience = obj.getDouble("salience").toFloat(),
importance = obj.getDouble("importance").toFloat(),
activationCount = obj.getLong("activation_count"),
embedding = embedding,
)
}
private fun activatedNodesFromJson(json: String): List<ActivatedNode> {
val arr = JSONArray(json)
return (0 until arr.length()).map { i ->
val obj = arr.getJSONObject(i)
ActivatedNode(
node = nodeFromJson(obj.getJSONObject("node")),
activationStrength = obj.getDouble("activation_strength").toFloat(),
hops = obj.getInt("hops"),
)
}
}
}
@@ -0,0 +1,14 @@
package ai.neuron.engram
/**
* A directed, typed edge between two nodes.
*
* Mirrors the Rust `Edge` struct from `engram-core`.
*/
data class EngramEdge(
val id: String,
val fromId: String,
val toId: String,
val relation: RelationType,
val weight: Float,
)
@@ -0,0 +1,38 @@
package ai.neuron.engram
/**
* A node in the Engram memory graph.
*
* Mirrors the Rust `Node` struct from `engram-core`.
*/
data class EngramNode(
val id: String,
val content: String,
val nodeType: NodeType,
val tier: MemoryTier,
val salience: Float,
val importance: Float,
val activationCount: Long,
val embedding: FloatArray,
) {
override fun equals(other: Any?): Boolean {
if (this === other) return true
if (other !is EngramNode) return false
return id == other.id
}
override fun hashCode(): Int = id.hashCode()
}
/**
* Input type for creating a new node.
* Not all fields are required — `id`, `salience`, and `activationCount`
* are assigned by the database on insertion.
*/
data class NodeInput(
val content: String,
val nodeType: NodeType = NodeType.Memory,
val tier: MemoryTier = MemoryTier.Episodic,
val importance: Float = 0.5f,
val embedding: FloatArray = FloatArray(0),
)
@@ -0,0 +1,31 @@
package ai.neuron.engram
/** The functional role of a node in the memory graph. */
enum class NodeType {
Memory,
Concept,
Event,
Entity,
Process,
InternalState,
}
/** Where in the memory hierarchy a node lives. */
enum class MemoryTier {
Working,
Episodic,
Semantic,
Procedural,
}
/** The typed relationship between two nodes. */
enum class RelationType {
Supersedes,
Causes,
Contains,
References,
Contradicts,
Exemplifies,
Activates,
TemporallyPrecedes,
}
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[package]
name = "engram-wasm"
version = "0.1.0"
edition = "2021"
description = "WASM/TypeScript bindings for engram-core via wasm-bindgen"
license = "MIT"
[lib]
crate-type = ["cdylib"]
[dependencies]
engram-core = { path = "../../crates/engram-core", features = ["wasm"], default-features = false }
wasm-bindgen = "0.2"
serde-wasm-bindgen = "0.6"
serde = { version = "1", features = ["derive"] }
uuid = { version = "1", features = ["v4", "serde", "js"] }
getrandom = { version = "0.2", features = ["js"] }
console_error_panic_hook = { version = "0.1", optional = true }
[features]
default = ["console_error_panic_hook"]
[package.metadata.wasm-pack.profile.release]
wasm-opt = false
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{
"name": "@neuron/engram",
"version": "0.1.0",
"description": "Engram memory substrate — TypeScript/WASM bindings",
"type": "module",
"main": "dist/index.js",
"types": "dist/index.d.ts",
"files": [
"dist",
"pkg"
],
"scripts": {
"build:wasm": "wasm-pack build . --target web --out-dir pkg",
"build:ts": "tsc",
"build": "npm run build:wasm && npm run build:ts",
"typecheck": "tsc --noEmit"
},
"devDependencies": {
"typescript": "^5.0.0"
}
}
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/**
* TypeScript wrapper around the engram WASM module.
*
* Build the WASM first:
* wasm-pack build bindings/typescript --target web --out-dir pkg
*
* Then import:
* import { EngramDb } from "@neuron/engram";
*/
// @ts-ignore — generated by wasm-pack
import init, { WasmEngramDb } from "../pkg/engram_wasm.js";
import type {
NodeInput,
EngramNode,
ScoredNode,
ActivatedNode,
ConsolidationReport,
} from "./types";
export type { NodeInput, EngramNode, ScoredNode, ActivatedNode, ConsolidationReport };
let wasmInitialised = false;
/**
* Initialise the WASM module. Must be called once before creating any EngramDb.
*/
export async function initEngram(): Promise<void> {
if (!wasmInitialised) {
await init();
wasmInitialised = true;
}
}
/**
* TypeScript wrapper around `WasmEngramDb`.
*
* All state is in-memory (WASM has no filesystem access). The path argument
* is accepted for API symmetry but is ignored.
*
* ```ts
* await initEngram();
* const db = new EngramDb();
*
* const id = await db.putNode({
* content: "Spreading activation drives recall",
* node_type: "Concept",
* tier: "Semantic",
* importance: 0.9,
* embedding: Array.from({ length: 384 }, () => Math.random()),
* });
*
* const results = await db.searchEmbedding(queryEmbedding, 5);
* ```
*/
export class EngramDb {
private db: WasmEngramDb;
constructor(path = "/wasm-memory") {
this.db = new WasmEngramDb(path);
}
/** Store a node and return its UUID. */
putNode(node: NodeInput): string {
return this.db.put_node(node);
}
/** Retrieve a node by UUID, or null if not found. */
getNode(id: string): EngramNode | null {
return this.db.get_node(id);
}
/** Find the `limit` most similar nodes by embedding vector. */
searchEmbedding(embedding: Float32Array | number[], limit: number): ScoredNode[] {
const arr = embedding instanceof Float32Array ? embedding : new Float32Array(embedding);
return this.db.search_embedding(arr, limit);
}
/**
* Run spreading activation from seed nodes.
*
* @param seeds Array of UUID strings (the "active context")
* @param queryEmbedding Semantic vector for the current query
* @param maxDepth Maximum BFS hops (typically 24)
* @param limit Number of results to return
*/
activate(
seeds: string[],
queryEmbedding: Float32Array | number[],
maxDepth = 3,
limit = 10
): ActivatedNode[] {
const arr =
queryEmbedding instanceof Float32Array
? queryEmbedding
: new Float32Array(queryEmbedding);
return this.db.activate(seeds, arr, maxDepth, limit);
}
/** Mark a node as recently accessed (increments activation count). */
touch(id: string): void {
this.db.touch(id);
}
/** Apply multiplicative salience decay. Returns the number of nodes updated. */
decay(factor: number): number {
return this.db.decay(factor);
}
/** Run a memory consolidation cycle. */
consolidate(): ConsolidationReport {
return this.db.consolidate();
}
/** Total number of nodes stored. */
nodeCount(): number {
return this.db.node_count();
}
/** Total number of edges stored. */
edgeCount(): number {
return this.db.edge_count();
}
}
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/// WASM/TypeScript bindings for engram-core via wasm-bindgen.
///
/// This crate compiles to a WebAssembly module that can be loaded by the
/// TypeScript wrapper in `src/index.ts`. All types are passed as JSON strings
/// across the WASM boundary to avoid bespoke serialisation code.
///
/// # Storage
/// sled is not available in WASM (no filesystem). When compiled with the `wasm`
/// feature, engram-core switches to an in-memory HashMap backend. All state is
/// therefore lost on page reload — persistence requires sending nodes to a
/// server-side store and re-loading them on startup.
///
/// # Build
/// ```
/// wasm-pack build bindings/typescript --target web
/// ```
use engram_core::{
ActivatedNode, ConsolidationConfig, EngramDb, MemoryTier, Node, NodeType, ScoredNode,
};
use serde::{Deserialize, Serialize};
use std::path::Path;
use uuid::Uuid;
use wasm_bindgen::prelude::*;
// ── Panic hook ────────────────────────────────────────────────────────────────
#[wasm_bindgen(start)]
pub fn main() {
#[cfg(feature = "console_error_panic_hook")]
console_error_panic_hook::set_once();
}
// ── WasmEngramDb ─────────────────────────────────────────────────────────────
/// The main entry point for WASM callers.
///
/// TypeScript:
/// ```ts
/// const db = new WasmEngramDb("ignored-path");
/// const id = db.putNode(JSON.stringify({ content: "...", node_type: "Memory", ... }));
/// ```
#[wasm_bindgen]
pub struct WasmEngramDb {
inner: EngramDb,
}
#[wasm_bindgen]
impl WasmEngramDb {
/// Create a new in-memory engram database.
///
/// The `path` argument is accepted for API symmetry with the sled backend
/// but is ignored — all storage is in-memory.
#[wasm_bindgen(constructor)]
pub fn open(_path: &str) -> Result<WasmEngramDb, JsValue> {
let db = EngramDb::open(Path::new("/wasm-memory"))
.map_err(|e| JsValue::from_str(&e.to_string()))?;
Ok(WasmEngramDb { inner: db })
}
// ── Node operations ───────────────────────────────────────────────────────
/// Store a node. Accepts a JSON object with fields:
/// `{ content, node_type, tier, importance, embedding }`
/// Returns the assigned UUID string.
pub fn put_node(&self, node: JsValue) -> Result<String, JsValue> {
let n = js_value_to_node(node)?;
self.inner
.put_node(n)
.map(|id| id.to_string())
.map_err(|e| JsValue::from_str(&e.to_string()))
}
/// Retrieve a node by UUID. Returns a JSON object or null.
pub fn get_node(&self, id: &str) -> Result<JsValue, JsValue> {
let uuid = id
.parse::<Uuid>()
.map_err(|e| JsValue::from_str(&e.to_string()))?;
match self
.inner
.get_node(uuid)
.map_err(|e| JsValue::from_str(&e.to_string()))?
{
Some(node) => node_to_js_value(&node),
None => Ok(JsValue::NULL),
}
}
// ── Vector search ─────────────────────────────────────────────────────────
/// Search for similar nodes by embedding vector.
///
/// `embedding` is a JS Float32Array. Returns a JSON array of
/// `{ node, score }` objects.
pub fn search_embedding(
&self,
embedding: &[f32],
limit: usize,
) -> Result<JsValue, JsValue> {
let results = self
.inner
.search_embedding(embedding, limit)
.map_err(|e| JsValue::from_str(&e.to_string()))?;
scored_nodes_to_js(&results)
}
// ── Spreading activation ──────────────────────────────────────────────────
/// Run spreading activation.
///
/// `seeds` is a JS array of UUID strings.
/// `query_embedding` is a Float32Array.
/// Returns a JSON array of `{ node, activation_strength, hops }`.
pub fn activate(
&self,
seeds: JsValue,
query_embedding: &[f32],
max_depth: u8,
limit: usize,
) -> Result<JsValue, JsValue> {
let seed_strs: Vec<String> = serde_wasm_bindgen::from_value(seeds)
.map_err(|e| JsValue::from_str(&e.to_string()))?;
let seeds: Vec<Uuid> = seed_strs
.iter()
.filter_map(|s| s.parse::<Uuid>().ok())
.collect();
let results = self
.inner
.activate(&seeds, query_embedding, max_depth, limit)
.map_err(|e| JsValue::from_str(&e.to_string()))?;
activated_nodes_to_js(&results)
}
// ── Salience management ───────────────────────────────────────────────────
/// Touch a node (increment activation count and update salience).
pub fn touch(&self, id: &str) -> Result<(), JsValue> {
let uuid = id
.parse::<Uuid>()
.map_err(|e| JsValue::from_str(&e.to_string()))?;
self.inner
.touch(uuid)
.map_err(|e| JsValue::from_str(&e.to_string()))
}
/// Apply multiplicative salience decay. Returns the number of nodes updated.
pub fn decay(&self, factor: f32) -> Result<u32, JsValue> {
self.inner
.decay(factor)
.map(|n| n as u32)
.map_err(|e| JsValue::from_str(&e.to_string()))
}
// ── Consolidation ─────────────────────────────────────────────────────────
/// Run a memory consolidation cycle.
/// Returns `{ promoted, decayed, pruned }`.
pub fn consolidate(&self) -> Result<JsValue, JsValue> {
let config = ConsolidationConfig::default();
let report = self
.inner
.consolidate(&config)
.map_err(|e| JsValue::from_str(&e.to_string()))?;
#[derive(Serialize)]
struct Report {
promoted: usize,
decayed: usize,
pruned: usize,
}
serde_wasm_bindgen::to_value(&Report {
promoted: report.promoted,
decayed: report.decayed,
pruned: report.pruned,
})
.map_err(|e| JsValue::from_str(&e.to_string()))
}
// ── Statistics ────────────────────────────────────────────────────────────
/// Return the total number of nodes.
pub fn node_count(&self) -> Result<u32, JsValue> {
self.inner
.node_count()
.map(|n| n as u32)
.map_err(|e| JsValue::from_str(&e.to_string()))
}
/// Return the total number of edges.
pub fn edge_count(&self) -> Result<u32, JsValue> {
self.inner
.edge_count()
.map(|n| n as u32)
.map_err(|e| JsValue::from_str(&e.to_string()))
}
}
// ── Serialisation helpers ─────────────────────────────────────────────────────
#[derive(Deserialize)]
struct NodeInput {
content: String,
node_type: Option<String>,
tier: Option<String>,
importance: Option<f32>,
embedding: Option<Vec<f32>>,
}
fn js_value_to_node(val: JsValue) -> Result<Node, JsValue> {
let input: NodeInput = serde_wasm_bindgen::from_value(val)
.map_err(|e| JsValue::from_str(&format!("Invalid node: {e}")))?;
let node_type = match input.node_type.as_deref().unwrap_or("Memory") {
"Concept" => NodeType::Concept,
"Event" => NodeType::Event,
"Entity" => NodeType::Entity,
"Process" => NodeType::Process,
"InternalState" => NodeType::InternalState,
_ => NodeType::Memory,
};
let tier = match input.tier.as_deref().unwrap_or("Episodic") {
"Working" => MemoryTier::Working,
"Semantic" => MemoryTier::Semantic,
"Procedural" => MemoryTier::Procedural,
_ => MemoryTier::Episodic,
};
let embedding = input.embedding.unwrap_or_default();
let importance = input.importance.unwrap_or(0.5);
Ok(Node::new(node_type, embedding, input.content.into_bytes(), tier, importance))
}
#[derive(Serialize)]
struct NodeOutput {
id: String,
content: String,
node_type: String,
tier: String,
salience: f32,
importance: f32,
activation_count: u64,
embedding: Vec<f32>,
}
fn node_to_js_value(node: &Node) -> Result<JsValue, JsValue> {
let out = NodeOutput {
id: node.id.to_string(),
content: String::from_utf8_lossy(&node.content).into_owned(),
node_type: format!("{:?}", node.node_type),
tier: format!("{:?}", node.tier),
salience: node.salience,
importance: node.importance,
activation_count: node.activation_count,
embedding: node.embedding.clone(),
};
serde_wasm_bindgen::to_value(&out).map_err(|e| JsValue::from_str(&e.to_string()))
}
#[derive(Serialize)]
struct ScoredNodeOutput {
node: NodeOutput,
score: f32,
}
fn scored_nodes_to_js(nodes: &[ScoredNode]) -> Result<JsValue, JsValue> {
let out: Vec<ScoredNodeOutput> = nodes
.iter()
.map(|s| ScoredNodeOutput {
node: NodeOutput {
id: s.node.id.to_string(),
content: String::from_utf8_lossy(&s.node.content).into_owned(),
node_type: format!("{:?}", s.node.node_type),
tier: format!("{:?}", s.node.tier),
salience: s.node.salience,
importance: s.node.importance,
activation_count: s.node.activation_count,
embedding: s.node.embedding.clone(),
},
score: s.score,
})
.collect();
serde_wasm_bindgen::to_value(&out).map_err(|e| JsValue::from_str(&e.to_string()))
}
#[derive(Serialize)]
struct ActivatedNodeOutput {
node: NodeOutput,
activation_strength: f32,
hops: u8,
}
fn activated_nodes_to_js(nodes: &[ActivatedNode]) -> Result<JsValue, JsValue> {
let out: Vec<ActivatedNodeOutput> = nodes
.iter()
.map(|a| ActivatedNodeOutput {
node: NodeOutput {
id: a.node.id.to_string(),
content: String::from_utf8_lossy(&a.node.content).into_owned(),
node_type: format!("{:?}", a.node.node_type),
tier: format!("{:?}", a.node.tier),
salience: a.node.salience,
importance: a.node.importance,
activation_count: a.node.activation_count,
embedding: a.node.embedding.clone(),
},
activation_strength: a.activation_strength,
hops: a.hops,
})
.collect();
serde_wasm_bindgen::to_value(&out).map_err(|e| JsValue::from_str(&e.to_string()))
}
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/**
* TypeScript types mirroring the Rust structs in engram-core.
*/
export type NodeType =
| "Memory"
| "Concept"
| "Event"
| "Entity"
| "Process"
| "InternalState";
export type MemoryTier = "Working" | "Episodic" | "Semantic" | "Procedural";
export interface EngramNode {
id: string;
content: string;
node_type: NodeType;
tier: MemoryTier;
salience: number;
importance: number;
activation_count: number;
embedding: number[];
}
export interface NodeInput {
content: string;
node_type?: NodeType;
tier?: MemoryTier;
importance?: number;
embedding?: number[];
}
export interface ScoredNode {
node: EngramNode;
score: number;
}
export interface ActivatedNode {
node: EngramNode;
activation_strength: number;
hops: number;
}
export interface ConsolidationReport {
promoted: number;
decayed: number;
pruned: number;
}
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{
"compilerOptions": {
"target": "ES2020",
"module": "ES2020",
"moduleResolution": "node",
"outDir": "dist",
"declaration": true,
"declarationMap": true,
"sourceMap": true,
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"allowJs": false,
"rootDir": "src"
},
"include": ["src/**/*.ts"],
"exclude": ["node_modules", "dist", "pkg"]
}