release: v0.9.0

CLAUDE.md

@@ -275,7 +275,7 @@ See `docs/internal/ingest-architecture.md` for details.
 | `COPILOT_STORAGE_DIR`       | auto-detected per OS        | VS Code workspaceStorage root override |
 | `SMRITI_PROJECTS_ROOT`      | `~/zero8.dev`               | Projects root for ID derivation        |
 | `OLLAMA_HOST`               | `http://127.0.0.1:11434`    | Ollama endpoint                        |
-| `QMD_MEMORY_MODEL`          | `qwen3:8b-tuned`            | Ollama model for synthesis             |
+| `QMD_MEMORY_MODEL`          | `qwen3.5:9b-mlx-tuned`      | Ollama model for synthesis (MLX engine)|
 | `SMRITI_CLASSIFY_THRESHOLD` | `0.5`                       | LLM classification trigger threshold   |
 | `SMRITI_AUTHOR`             | `$USER`                     | Git author for team sharing            |
 | `SMRITI_DAEMON_DEBOUNCE_MS` | `30000`                     | Daemon file-stability wait (v0.4.0)    |

package.json

@@ -1,6 +1,6 @@
 {
   "name": "smriti",
-  "version": "0.8.2",
+  "version": "0.9.0",
   "description": "Smriti - Unified memory layer across all AI agents",
   "type": "module",
   "bin": {
@@ -10,6 +10,8 @@
     "dev": "bun --hot src/index.ts",
     "build": "bun build src/index.ts --outdir dist --target bun",
     "test": "bun test --cwd ./test",
+    "eval:recall": "bun run test/eval/recall-quality.eval.ts",
+    "eval:relations": "bun run test/eval/relation-inference.eval.ts",
     "smriti": "bun src/index.ts",
     "bench:qmd": "bun run scripts/bench-qmd.ts --profile ci-small --out bench/results/ci-small.json --no-llm",
     "bench:qmd:repeat": "bun run scripts/bench-qmd-repeat.ts --profiles ci-small,small,medium --runs 3 --out bench/results/repeat-summary.json",

src/categorize/classifier.ts

@@ -7,7 +7,7 @@
 
 import type { Database } from "bun:sqlite";
 import { tagMessage, tagSession } from "../db";
-import { CLASSIFY_LLM_THRESHOLD, OLLAMA_HOST, OLLAMA_MODEL } from "../config";
+import { CLASSIFY_LLM_THRESHOLD, OLLAMA_HOST, requireOllamaModel } from "../config";
 import { ALL_CATEGORY_IDS } from "./schema";
 import { getRuleManager, type Rule } from "./rules/loader";
 
@@ -86,7 +86,7 @@ ${text.slice(0, 2000)}`;
       method: "POST",
       headers: { "Content-Type": "application/json" },
       body: JSON.stringify({
-        model: OLLAMA_MODEL,
+        model: requireOllamaModel(),
         prompt,
         stream: false,
         options: { temperature: 0.1, num_predict: 50 },

src/config.ts

@@ -68,7 +68,18 @@ export const PROJECTS_ROOT =
 // =============================================================================
 
 export const OLLAMA_HOST = Bun.env.OLLAMA_HOST || "http://127.0.0.1:11434";
-export const OLLAMA_MODEL = Bun.env.QMD_MEMORY_MODEL || "qwen3:8b-tuned";
+export const OLLAMA_MODEL = Bun.env.QMD_MEMORY_MODEL;
+
+/** Resolve the Ollama model to use, preferring an explicit override. Throws if neither is set. */
+export function requireOllamaModel(explicit?: string): string {
+  const model = explicit || OLLAMA_MODEL;
+  if (!model) {
+    throw new Error(
+      "No Ollama model configured. Set QMD_MEMORY_MODEL in your environment or .env file."
+    );
+  }
+  return model;
+}
 
 /** Confidence threshold below which rule-based classification triggers LLM */
 export const CLASSIFY_LLM_THRESHOLD = Number(