fix(oss): OllamaLLM now respects configured url instead of always falling back to localhost

docs/changelog.mdx

@@ -729,19 +729,6 @@ mode: "wide"
 
 <Tab title="TypeScript">
 
-<Update label="2026-03-14" description="v2.4.0">
-
-**Bug Fixes:**
-- **OSS Storage:** Fixed `SQLITE_CANTOPEN` errors when running as a LaunchAgent, systemd service, or in containers where `process.cwd()` is read-only (e.g. `/`). Default `vector_store.db` location changed from `process.cwd()/vector_store.db` to `~/.mem0/vector_store.db`.
-- **OSS Storage:** Fixed `historyDbPath` config being silently ignored — config merging always overwrote it with defaults. Top-level `historyDbPath` is now correctly propagated into `historyStore.config` with proper precedence.
-- **OSS Storage:** Added `ensureSQLiteDirectory()` — parent directories for SQLite database files are now auto-created before opening, preventing `SQLITE_CANTOPEN` when using nested paths.
-
-**Improvements:**
-- **Migration:** Added deprecation warning when an existing `vector_store.db` is found at the old `process.cwd()` location, guiding users to move it or set `vectorStore.config.dbPath` explicitly.
-- **Config:** Limited default SQLite config spreading to only SQLite history providers, preventing config leaking into Supabase or other providers.
-
-</Update>
-
 <Update label="2026-03-09" description="v2.3.0">
 
 **Breaking Changes:**

mem0-ts/package.json

@@ -1,6 +1,6 @@
 {
   "name": "mem0ai",
-  "version": "2.4.0",
+  "version": "2.3.0",
   "description": "The Memory Layer For Your AI Apps",
   "main": "./dist/index.js",
   "module": "./dist/index.mjs",

mem0-ts/src/oss/src/config/manager.ts

@@ -93,6 +93,7 @@ export class ConfigManager {
 
           return {
             baseURL: userConf?.baseURL || defaultConf.baseURL,
+            url: userConf?.url,
             apiKey:
               userConf?.apiKey !== undefined
                 ? userConf.apiKey

mem0-ts/src/oss/src/llms/ollama.ts

@@ -11,7 +11,7 @@ export class OllamaLLM implements LLM {
 
   constructor(config: LLMConfig) {
     this.ollama = new Ollama({
-      host: config.config?.url || "http://localhost:11434",
+      host: config.url || config.baseURL || "http://localhost:11434",
     });
     this.model = config.model || "llama3.1:8b";
     this.ensureModelExists().catch((err) => {

mem0-ts/src/oss/src/prompts/index.ts

@@ -278,9 +278,5 @@ export function parseMessages(messages: string[]): string {
 }
 
 export function removeCodeBlocks(text: string): string {
-  // Extract content inside code fences instead of deleting it.
-  // The old regex /```[^`]*```/g replaced the entire block (including
-  // its content) with an empty string, so when an LLM returned JSON
-  // wrapped in ```json ... ``` the actual payload was discarded.
-  return text.replace(/```(?:\w+)?\n?([\s\S]*?)```/g, "$1").trim();
+  return text.replace(/```[^`]*```/g, "");
 }

mem0-ts/src/oss/src/tests/sqlite-backward-compat.test.ts

@@ -210,7 +210,11 @@ describe("backward compat: MemoryVectorStore", () => {
 
     try {
       const store = new MemoryVectorStore({ dimension: 3, dbPath });
-      await store.insert([normalize([1, 0, 0])], ["id1"], [{ text: "hello" }]);
+      await store.insert(
+        [normalize([1, 0, 0])],
+        ["id1"],
+        [{ text: "hello" }],
+      );
 
       expect(fs.existsSync(dbPath)).toBe(true);
 

mem0-ts/src/oss/src/tests/sqlite-path-resolution.test.ts

@@ -200,9 +200,9 @@ describe("MemoryVectorStore – path handling", () => {
       expect(
         fs.existsSync(path.join(fakeHome, ".mem0", "vector_store.db")),
       ).toBe(true);
-      expect(fs.existsSync(path.join(readOnlyCwd, "vector_store.db"))).toBe(
-        false,
-      );
+      expect(
+        fs.existsSync(path.join(readOnlyCwd, "vector_store.db")),
+      ).toBe(false);
     } finally {
       fs.chmodSync(readOnlyCwd, 0o755);
       fs.rmSync(fakeHome, { recursive: true, force: true });

mem0-ts/src/oss/src/types/index.ts

@@ -43,6 +43,7 @@ export interface HistoryStoreConfig {
 export interface LLMConfig {
   provider?: string;
   baseURL?: string;
+  url?: string;
   config?: Record<string, any>;
   apiKey?: string;
   model?: string | any;
@@ -143,6 +144,7 @@ export const MemoryConfigSchema = z.object({
       model: z.union([z.string(), z.any()]).optional(),
       modelProperties: z.record(z.string(), z.any()).optional(),
       baseURL: z.string().optional(),
+      url: z.string().optional(),
     }),
   }),
   historyDbPath: z.string().optional(),

mem0-ts/src/oss/src/vector_stores/qdrant.ts

@@ -273,7 +273,10 @@ export class Qdrant implements VectorStore {
     }
   }
 
-  private async ensureCollection(name: string, size: number): Promise<void> {
+  private async ensureCollection(
+    name: string,
+    size: number,
+  ): Promise<void> {
     try {
       await this.client.createCollection(name, {
         vectors: {

mem0-ts/src/oss/tests/config-manager.test.ts

@@ -85,4 +85,80 @@ describe("ConfigManager", () => {
       expect(config.vectorStore.config.dimension).toBe(768);
     });
   });
+
+  describe("mergeConfig - LLM url passthrough for Ollama", () => {
+    const baseEmbedder = {
+      provider: "openai",
+      config: { apiKey: "test-key" },
+    };
+    const baseVectorStore = {
+      provider: "memory",
+      config: { collectionName: "test" },
+    };
+
+    it("should preserve url in LLM config when provided", () => {
+      const config = ConfigManager.mergeConfig({
+        embedder: baseEmbedder,
+        vectorStore: baseVectorStore,
+        llm: {
+          provider: "ollama",
+          config: { model: "llama3.2:3b", url: "http://10.0.0.100:11434" },
+        },
+      });
+
+      expect(config.llm.config.url).toBe("http://10.0.0.100:11434");
+    });
+
+    it("should prefer baseURL over url when both are provided", () => {
+      const config = ConfigManager.mergeConfig({
+        embedder: baseEmbedder,
+        vectorStore: baseVectorStore,
+        llm: {
+          provider: "ollama",
+          config: {
+            model: "llama3.2:3b",
+            baseURL: "http://custom:11434",
+            url: "http://fallback:11434",
+          },
+        },
+      });
+
+      expect(config.llm.config.baseURL).toBe("http://custom:11434");
+      expect(config.llm.config.url).toBe("http://fallback:11434");
+    });
+
+    it("should use default baseURL when no url or baseURL provided", () => {
+      const config = ConfigManager.mergeConfig({
+        embedder: baseEmbedder,
+        vectorStore: baseVectorStore,
+        llm: {
+          provider: "ollama",
+          config: { model: "llama3.2:3b" },
+        },
+      });
+
+      expect(config.llm.config.url).toBeUndefined();
+      expect(config.llm.config.baseURL).toBe("https://api.openai.com/v1");
+    });
+
+    it("should preserve url in embedder config (existing behavior)", () => {
+      const config = ConfigManager.mergeConfig({
+        embedder: {
+          provider: "ollama",
+          config: {
+            model: "nomic-embed-text",
+            url: "http://10.0.0.100:11434",
+          },
+        },
+        vectorStore: baseVectorStore,
+        llm: {
+          provider: "ollama",
+          config: { model: "llama3.2:3b", url: "http://10.0.0.100:11434" },
+        },
+      });
+
+      expect(config.embedder.config.url).toBe("http://10.0.0.100:11434");
+      expect(config.llm.config.url).toBe("http://10.0.0.100:11434");
+    });
+  });
 });

mem0-ts/src/oss/tests/graph-memory-parsing.test.ts

@@ -13,10 +13,7 @@
  */
 
 import { MemoryGraph } from "../src/memory/graph_memory";
-import {
-  EXTRACT_RELATIONS_PROMPT,
-  getDeleteMessages,
-} from "../src/graphs/utils";
+import { EXTRACT_RELATIONS_PROMPT, getDeleteMessages } from "../src/graphs/utils";
 
 // ---------------------------------------------------------------------------
 // Mocks – we replace heavy dependencies so tests run without Neo4j / OpenAI
@@ -103,10 +100,7 @@ describe("_retrieveNodesFromData", () => {
     });
 
     const mg = graph();
-    const result = await mg._retrieveNodesFromData(
-      "Alice likes pizza",
-      FILTERS,
-    );
+    const result = await mg._retrieveNodesFromData("Alice likes pizza", FILTERS);
 
     expect(result).toEqual({ alice: "person", pizza: "food" });
   });
@@ -172,9 +166,7 @@ describe("_retrieveNodesFromData", () => {
       toolCalls: [
         {
           name: "some_other_tool",
-          arguments: JSON.stringify({
-            entities: [{ entity: "X", entity_type: "Y" }],
-          }),
+          arguments: JSON.stringify({ entities: [{ entity: "X", entity_type: "Y" }] }),
         },
       ],
     });
@@ -281,7 +273,9 @@ describe("_establishNodesRelationsFromData", () => {
 
   it("throws on malformed JSON in tool call arguments (no try/catch in source)", async () => {
     mockGenerateResponse.mockResolvedValueOnce({
-      toolCalls: [{ name: "establish_relationships", arguments: "<<BROKEN>>" }],
+      toolCalls: [
+        { name: "establish_relationships", arguments: "<<BROKEN>>" },
+      ],
     });
 
     const mg = graph();
@@ -353,11 +347,7 @@ describe("_getDeleteEntitiesFromSearchOutput", () => {
     });
 
     const mg = graph();
-    const result = await mg._getDeleteEntitiesFromSearchOutput(
-      SEARCH_OUTPUT,
-      "Alice hates pizza",
-      FILTERS,
-    );
+    const result = await mg._getDeleteEntitiesFromSearchOutput(SEARCH_OUTPUT, "Alice hates pizza", FILTERS);
 
     expect(result).toEqual([
       { source: "alice", relationship: "likes", destination: "pizza" },
@@ -368,11 +358,7 @@ describe("_getDeleteEntitiesFromSearchOutput", () => {
     mockGenerateResponse.mockResolvedValueOnce("string response");
 
     const mg = graph();
-    const result = await mg._getDeleteEntitiesFromSearchOutput(
-      SEARCH_OUTPUT,
-      "x",
-      FILTERS,
-    );
+    const result = await mg._getDeleteEntitiesFromSearchOutput(SEARCH_OUTPUT, "x", FILTERS);
     expect(result).toEqual([]);
   });
 
@@ -380,11 +366,7 @@ describe("_getDeleteEntitiesFromSearchOutput", () => {
     mockGenerateResponse.mockResolvedValueOnce({ toolCalls: [] });
 
     const mg = graph();
-    const result = await mg._getDeleteEntitiesFromSearchOutput(
-      SEARCH_OUTPUT,
-      "x",
-      FILTERS,
-    );
+    const result = await mg._getDeleteEntitiesFromSearchOutput(SEARCH_OUTPUT, "x", FILTERS);
     expect(result).toEqual([]);
   });
 
@@ -399,11 +381,7 @@ describe("_getDeleteEntitiesFromSearchOutput", () => {
     });
 
     const mg = graph();
-    const result = await mg._getDeleteEntitiesFromSearchOutput(
-      SEARCH_OUTPUT,
-      "x",
-      FILTERS,
-    );
+    const result = await mg._getDeleteEntitiesFromSearchOutput(SEARCH_OUTPUT, "x", FILTERS);
     expect(result).toEqual([]);
   });
 
@@ -412,29 +390,17 @@ describe("_getDeleteEntitiesFromSearchOutput", () => {
       toolCalls: [
         {
           name: "delete_graph_memory",
-          arguments: JSON.stringify({
-            source: "A",
-            relationship: "r1",
-            destination: "B",
-          }),
+          arguments: JSON.stringify({ source: "A", relationship: "r1", destination: "B" }),
         },
         {
           name: "delete_graph_memory",
-          arguments: JSON.stringify({
-            source: "C",
-            relationship: "r2",
-            destination: "D",
-          }),
+          arguments: JSON.stringify({ source: "C", relationship: "r2", destination: "D" }),
         },
       ],
     });
 
     const mg = graph();
-    const result = await mg._getDeleteEntitiesFromSearchOutput(
-      SEARCH_OUTPUT,
-      "x",
-      FILTERS,
-    );
+    const result = await mg._getDeleteEntitiesFromSearchOutput(SEARCH_OUTPUT, "x", FILTERS);
     expect(result).toHaveLength(2);
     expect(result[0].source).toBe("a");
     expect(result[1].source).toBe("c");
@@ -459,11 +425,7 @@ describe("_getDeleteEntitiesFromSearchOutput", () => {
     mockGenerateResponse.mockResolvedValueOnce({ toolCalls: [] });
 
     const mg = graph();
-    const result = await mg._getDeleteEntitiesFromSearchOutput(
-      [],
-      "data",
-      FILTERS,
-    );
+    const result = await mg._getDeleteEntitiesFromSearchOutput([], "data", FILTERS);
     expect(result).toEqual([]);
   });
 });
@@ -519,11 +481,7 @@ describe("_removeSpacesFromEntities (via _establishNodesRelationsFromData)", ()
           name: "establish_relationships",
           arguments: JSON.stringify({
             entities: [
-              {
-                source: "New York",
-                relationship: "Capital Of",
-                destination: "United States",
-              },
+              { source: "New York", relationship: "Capital Of", destination: "United States" },
             ],
           }),
         },
@@ -531,18 +489,10 @@ describe("_removeSpacesFromEntities (via _establishNodesRelationsFromData)", ()
     });
 
     const mg = graph();
-    const result = await mg._establishNodesRelationsFromData(
-      "test",
-      FILTERS,
-      {},
-    );
+    const result = await mg._establishNodesRelationsFromData("test", FILTERS, {});
 
     expect(result).toEqual([
-      {
-        source: "new_york",
-        relationship: "capital_of",
-        destination: "united_states",
-      },
+      { source: "new_york", relationship: "capital_of", destination: "united_states" },
     ]);
   });
 });

mem0-ts/src/oss/tests/graph-prompts.test.ts

@@ -31,8 +31,7 @@ describe("Graph prompts — JSON keyword requirement", () => {
   it("EXTRACT_RELATIONS_PROMPT produces a message containing 'json' once the suffix is appended", () => {
     // graph_memory.ts appends "\nPlease provide your response in JSON format."
     const withSuffix =
-      EXTRACT_RELATIONS_PROMPT +
-      "\nPlease provide your response in JSON format.";
+      EXTRACT_RELATIONS_PROMPT + "\nPlease provide your response in JSON format.";
     expect(withSuffix.toLowerCase()).toContain("json");
   });
 
@@ -87,21 +86,13 @@ describe("getDeleteMessages", () => {
   });
 
   it("handles special characters in userId (e.g. angle brackets, quotes)", () => {
-    const [system] = getDeleteMessages(
-      "mem",
-      "data",
-      '<script>alert("xss")</script>',
-    );
+    const [system] = getDeleteMessages("mem", "data", '<script>alert("xss")</script>');
     expect(system).toContain('<script>alert("xss")</script>');
     expect(system).not.toContain("USER_ID");
   });
 
   it("handles unicode input", () => {
-    const [system, user] = getDeleteMessages(
-      "日本語メモリ",
-      "新しい情報",
-      "ユーザー1",
-    );
+    const [system, user] = getDeleteMessages("日本語メモリ", "新しい情報", "ユーザー1");
     expect(system).toContain("ユーザー1");
     expect(user).toContain("日本語メモリ");
     expect(user).toContain("新しい情報");
@@ -139,7 +130,7 @@ describe("formatEntities", () => {
 
   it("preserves special characters in entity fields", () => {
     const result = formatEntities([
-      { source: "O'Brien", relationship: 'said "hello"', destination: "café" },
+      { source: "O'Brien", relationship: "said \"hello\"", destination: "café" },
     ]);
     expect(result).toContain("O'Brien");
     expect(result).toContain('said "hello"');

mem0-ts/src/oss/tests/qdrant-e2e.test.ts

@@ -151,14 +151,10 @@ describeIfQdrant("Issue #4212/#4173: Qdrant dimension mismatch", () => {
     const id1 = uuidv4();
     const id2 = uuidv4();
 
-    await store.insert(
-      [vec1, vec2],
-      [id1, id2],
-      [
-        { data: "hello", userId: "u1" },
-        { data: "world", userId: "u1" },
-      ],
-    );
+    await store.insert([vec1, vec2], [id1, id2], [
+      { data: "hello", userId: "u1" },
+      { data: "world", userId: "u1" },
+    ]);
 
     // Search with 768-dim query — this USED TO fail with Bad Request
     const results = await store.search(vec1, 2, { userId: "u1" });
@@ -207,11 +203,9 @@ describeIfQdrant("Issue #4212/#4173: Qdrant dimension mismatch", () => {
       return {
         EmbedderFactory: { create: jest.fn().mockReturnValue(fakeEmbedder) },
         VectorStoreFactory: {
-          create: jest
-            .fn()
-            .mockImplementation((_provider: string, config: any) => {
-              return new QdrantStore(config);
-            }),
+          create: jest.fn().mockImplementation((_provider: string, config: any) => {
+            return new QdrantStore(config);
+          }),
         },
         LLMFactory: {
           create: jest.fn().mockReturnValue({
@@ -286,11 +280,9 @@ describeIfQdrant("Issue #4212/#4173: Qdrant dimension mismatch", () => {
       return {
         EmbedderFactory: { create: jest.fn().mockReturnValue(fakeEmbedder) },
         VectorStoreFactory: {
-          create: jest
-            .fn()
-            .mockImplementation((_provider: string, config: any) => {
-              return new QdrantStore(config);
-            }),
+          create: jest.fn().mockImplementation((_provider: string, config: any) => {
+            return new QdrantStore(config);
+          }),
         },
         LLMFactory: {
           create: jest.fn().mockReturnValue({
@@ -358,11 +350,9 @@ describeIfQdrant("Issue #4212/#4173: Qdrant dimension mismatch", () => {
       return {
         EmbedderFactory: { create: jest.fn().mockReturnValue(fakeEmbedder) },
         VectorStoreFactory: {
-          create: jest
-            .fn()
-            .mockImplementation((_provider: string, config: any) => {
-              return new QdrantStore(config);
-            }),
+          create: jest.fn().mockImplementation((_provider: string, config: any) => {
+            return new QdrantStore(config);
+          }),
         },
         LLMFactory: {
           create: jest.fn().mockReturnValue({

mem0-ts/src/oss/tests/remove-code-blocks.test.ts

@@ -1,30 +0,0 @@
-import { removeCodeBlocks } from "../src/prompts";
-
-describe("removeCodeBlocks", () => {
-  it("extracts JSON from ```json code fence", () => {
-    const input = '```json\n{"facts": ["hello"]}\n```';
-    expect(removeCodeBlocks(input)).toBe('{"facts": ["hello"]}');
-  });
-
-  it("extracts content from bare ``` code fence", () => {
-    const input = '```\n{"key": "value"}\n```';
-    expect(removeCodeBlocks(input)).toBe('{"key": "value"}');
-  });
-
-  it("returns plain text unchanged", () => {
-    const input = '{"facts": ["hello"]}';
-    expect(removeCodeBlocks(input)).toBe('{"facts": ["hello"]}');
-  });
-
-  it("handles multiple code blocks", () => {
-    const input = '```json\n{"a":1}\n```\nsome text\n```json\n{"b":2}\n```';
-    expect(removeCodeBlocks(input)).toBe('{"a":1}\n\nsome text\n{"b":2}');
-  });
-
-  it("handles Claude-style response with surrounding text", () => {
-    const input =
-      'Here is the JSON:\n```json\n{"facts": ["user likes TypeScript"]}\n```';
-    expect(removeCodeBlocks(input)).toContain('"facts"');
-    expect(removeCodeBlocks(input)).not.toContain("```");
-  });
-});

mem0-ts/src/oss/tests/vector-stores-compat.test.ts

@@ -76,14 +76,10 @@ describe("MemoryVectorStore – full backward compat", () => {
     vec2[1] = 1.0;
 
     // Insert
-    await store.insert(
-      [vec1, vec2],
-      ["id-1", "id-2"],
-      [
-        { data: "alpha", userId: "u1" },
-        { data: "beta", userId: "u1" },
-      ],
-    );
+    await store.insert([vec1, vec2], ["id-1", "id-2"], [
+      { data: "alpha", userId: "u1" },
+      { data: "beta", userId: "u1" },
+    ]);
 
     // Get
     const item = await store.get("id-1");
@@ -208,87 +204,66 @@ describe("MemoryVectorStore – full backward compat", () => {
 describe("Qdrant – backward compat with mocked client", () => {
   function createMockQdrantClient() {
     const collections = new Map<string, number>();
-    const points = new Map<
-      string,
-      { id: string; vector: number[]; payload: any }
-    >();
+    const points = new Map<string, { id: string; vector: number[]; payload: any }>();
 
     return {
       _collections: collections,
       _points: points,
-      createCollection: jest
-        .fn()
-        .mockImplementation(async (name: string, opts: any) => {
-          if (collections.has(name)) {
-            const err: any = new Error("Collection already exists");
-            err.status = 409;
-            throw err;
-          }
-          collections.set(name, opts.vectors.size);
-        }),
+      createCollection: jest.fn().mockImplementation(async (name: string, opts: any) => {
+        if (collections.has(name)) {
+          const err: any = new Error("Collection already exists");
+          err.status = 409;
+          throw err;
+        }
+        collections.set(name, opts.vectors.size);
+      }),
       getCollection: jest.fn().mockImplementation(async (name: string) => {
         if (!collections.has(name)) {
           const err: any = new Error("Not found");
           err.status = 404;
           throw err;
         }
-        return {
-          config: { params: { vectors: { size: collections.get(name) } } },
-        };
+        return { config: { params: { vectors: { size: collections.get(name) } } } };
       }),
       getCollections: jest.fn().mockResolvedValue({
         collections: [],
       }),
-      upsert: jest
-        .fn()
-        .mockImplementation(async (collName: string, opts: any) => {
-          for (const pt of opts.points) {
-            points.set(`${collName}:${pt.id}`, {
-              id: pt.id,
-              vector: pt.vector,
-              payload: pt.payload,
-            });
+      upsert: jest.fn().mockImplementation(async (collName: string, opts: any) => {
+        for (const pt of opts.points) {
+          points.set(`${collName}:${pt.id}`, { id: pt.id, vector: pt.vector, payload: pt.payload });
+        }
+      }),
+      retrieve: jest.fn().mockImplementation(async (collName: string, opts: any) => {
+        const results = [];
+        for (const id of opts.ids) {
+          const pt = points.get(`${collName}:${id}`);
+          if (pt) results.push({ id: pt.id, payload: pt.payload });
+        }
+        return results;
+      }),
+      search: jest.fn().mockImplementation(async (collName: string, opts: any) => {
+        const results: any[] = [];
+        points.forEach((pt, key) => {
+          if (key.startsWith(`${collName}:`)) {
+            results.push({ id: pt.id, payload: pt.payload, score: 0.9 });
           }
-        }),
-      retrieve: jest
-        .fn()
-        .mockImplementation(async (collName: string, opts: any) => {
-          const results = [];
-          for (const id of opts.ids) {
-            const pt = points.get(`${collName}:${id}`);
-            if (pt) results.push({ id: pt.id, payload: pt.payload });
+        });
+        return results.slice(0, opts.limit);
+      }),
+      scroll: jest.fn().mockImplementation(async (collName: string, opts: any) => {
+        const results: any[] = [];
+        points.forEach((pt, key) => {
+          if (key.startsWith(`${collName}:`)) {
+            results.push({ id: pt.id, payload: pt.payload });
           }
-          return results;
-        }),
-      search: jest
-        .fn()
-        .mockImplementation(async (collName: string, opts: any) => {
-          const results: any[] = [];
-          points.forEach((pt, key) => {
-            if (key.startsWith(`${collName}:`)) {
-              results.push({ id: pt.id, payload: pt.payload, score: 0.9 });
-            }
-          });
-          return results.slice(0, opts.limit);
-        }),
-      scroll: jest
-        .fn()
-        .mockImplementation(async (collName: string, opts: any) => {
-          const results: any[] = [];
-          points.forEach((pt, key) => {
-            if (key.startsWith(`${collName}:`)) {
-              results.push({ id: pt.id, payload: pt.payload });
-            }
-          });
-          return { points: results.slice(0, opts.limit) };
-        }),
-      delete: jest
-        .fn()
-        .mockImplementation(async (collName: string, opts: any) => {
-          for (const id of opts.points) {
-            points.delete(`${collName}:${id}`);
-          }
-        }),
+        });
+        return { points: results.slice(0, opts.limit) };
+      }),
+      delete: jest.fn().mockImplementation(async (collName: string, opts: any) => {
+        for (const id of opts.points) {
+          points.delete(`${collName}:${id}`);
+        }
+      }),
       deleteCollection: jest.fn().mockImplementation(async (name: string) => {
         collections.delete(name);
       }),
@@ -349,10 +324,7 @@ describe("Qdrant – backward compat with mocked client", () => {
 
     // Insert
     await store.insert(
-      [
-        [1, 2, 3],
-        [4, 5, 6],
-      ],
+      [[1, 2, 3], [4, 5, 6]],
       ["id-1", "id-2"],
       [{ data: "alpha" }, { data: "beta" }],
     );
@@ -419,9 +391,9 @@ describe("Redis – backward compat with mocked client", () => {
         connect: jest.fn().mockResolvedValue(undefined),
         on: jest.fn(),
         isOpen: false,
-        moduleList: jest
-          .fn()
-          .mockResolvedValue([["name", "search", "ver", 20000]]),
+        moduleList: jest.fn().mockResolvedValue([
+          ["name", "search", "ver", 20000],
+        ]),
         ft: {
           dropIndex: jest.fn().mockResolvedValue(undefined),
           create: jest.fn().mockResolvedValue(undefined),
@@ -627,17 +599,14 @@ describe("AzureAISearch – backward compat with mocked client", () => {
         createOrUpdateIndex: jest.fn().mockResolvedValue({}),
         deleteIndex: jest.fn().mockResolvedValue({}),
       })),
-      AzureKeyCredential: jest
-        .fn()
-        .mockImplementation((key: string) => ({ key })),
+      AzureKeyCredential: jest.fn().mockImplementation((key: string) => ({ key })),
     }));
 
     jest.doMock("@azure/identity", () => ({
       DefaultAzureCredential: jest.fn(),
     }));
 
-    AzureAISearch =
-      require("../src/vector_stores/azure_ai_search").AzureAISearch;
+    AzureAISearch = require("../src/vector_stores/azure_ai_search").AzureAISearch;
   });
 
   afterEach(() => {
@@ -692,9 +661,7 @@ describe("Vectorize – backward compat with mocked client", () => {
     jest.doMock("cloudflare", () => {
       const mockIndexes = {
         list: jest.fn().mockReturnValue({
-          [Symbol.asyncIterator]: () => ({
-            next: async () => ({ done: true }),
-          }),
+          [Symbol.asyncIterator]: () => ({ next: async () => ({ done: true }) }),
         }),
         create: jest.fn().mockResolvedValue({}),
         delete: jest.fn().mockResolvedValue({}),
@@ -805,14 +772,9 @@ describe("LangchainVectorStore – backward compat", () => {
     const { LangchainVectorStore } = require("../src/vector_stores/langchain");
     const mockLcStore = {
       addVectors: jest.fn().mockResolvedValue(undefined),
-      similaritySearchVectorWithScore: jest
-        .fn()
-        .mockResolvedValue([
-          [
-            { metadata: { _mem0_id: "id-1", data: "test" }, pageContent: "" },
-            0.95,
-          ],
-        ]),
+      similaritySearchVectorWithScore: jest.fn().mockResolvedValue([
+        [{ metadata: { _mem0_id: "id-1", data: "test" }, pageContent: "" }, 0.95],
+      ]),
     };
     const store = new LangchainVectorStore({
       client: mockLcStore,
@@ -859,9 +821,9 @@ describe("LangchainVectorStore – backward compat", () => {
       dimension: 4,
     });
 
-    await expect(store.insert([[1, 2, 3]], ["id-1"], [{}])).rejects.toThrow(
-      "Vector dimension mismatch",
-    );
+    await expect(
+      store.insert([[1, 2, 3]], ["id-1"], [{}]),
+    ).rejects.toThrow("Vector dimension mismatch");
   });
 });
 
@@ -1014,27 +976,11 @@ describe("Memory class – backward compat with all providers", () => {
     ]);
     mockVStore.get.mockResolvedValue({
       id: "id-1",
-      payload: {
-        memory: "test",
-        hash: "h",
-        created_at: new Date().toISOString(),
-        updated_at: new Date().toISOString(),
-      },
+      payload: { memory: "test", hash: "h", created_at: new Date().toISOString(), updated_at: new Date().toISOString() },
     });
-    mockVStore.list.mockResolvedValue([
-      [
-        {
-          id: "id-1",
-          payload: {
-            memory: "test",
-            hash: "h",
-            created_at: new Date().toISOString(),
-            updated_at: new Date().toISOString(),
-          },
-        },
-      ],
-      1,
-    ]);
+    mockVStore.list.mockResolvedValue([[
+      { id: "id-1", payload: { memory: "test", hash: "h", created_at: new Date().toISOString(), updated_at: new Date().toISOString() } },
+    ], 1]);
     mockVectorStoreFactory.create.mockReturnValue(mockVStore);
 
     const mem = new MemoryClass({
@@ -1109,9 +1055,7 @@ describe("Memory class – backward compat with all providers", () => {
     };
     mockEmbedderFactory.create.mockReturnValue(failingEmbedder);
 
-    const consoleSpy = jest
-      .spyOn(console, "error")
-      .mockImplementation(() => {});
+    const consoleSpy = jest.spyOn(console, "error").mockImplementation(() => {});
 
     const mem = new MemoryClass({
       embedder: { provider: "ollama", config: { model: "test" } },
@@ -1133,3 +1077,4 @@ describe("Memory class – backward compat with all providers", () => {
     consoleSpy.mockRestore();
   });
 });
+

mem0/memory/graph_memory.py

@@ -30,10 +30,10 @@ class MemoryGraph:
     def __init__(self, config):
         self.config = config
         self.graph = Neo4jGraph(
-            url=self.config.graph_store.config.url,
-            username=self.config.graph_store.config.username,
-            password=self.config.graph_store.config.password,
-            database=self.config.graph_store.config.database,
+            self.config.graph_store.config.url,
+            self.config.graph_store.config.username,
+            self.config.graph_store.config.password,
+            self.config.graph_store.config.database,
             refresh_schema=False,
             driver_config={"notifications_min_severity": "OFF"},
         )

mem0/memory/main.py

@@ -24,7 +24,7 @@ from mem0.exceptions import ValidationError as Mem0ValidationError
 from mem0.memory.base import MemoryBase
 from mem0.memory.setup import mem0_dir, setup_config
 from mem0.memory.storage import SQLiteManager
-from mem0.memory.telemetry import MEM0_TELEMETRY, capture_event
+from mem0.memory.telemetry import capture_event
 from mem0.memory.utils import (
     extract_json,
     get_fact_retrieval_messages,
@@ -37,8 +37,8 @@ from mem0.utils.factory import (
     EmbedderFactory,
     GraphStoreFactory,
     LlmFactory,
-    RerankerFactory,
     VectorStoreFactory,
+    RerankerFactory,
 )
 
 # Suppress SWIG deprecation warnings globally
@@ -204,33 +204,32 @@ class Memory(MemoryBase):
             self.enable_graph = True
         else:
             self.graph = None
-        if MEM0_TELEMETRY:
-            # Create telemetry config manually to avoid deepcopy issues with thread locks
-            telemetry_config_dict = {}
-            if hasattr(self.config.vector_store.config, 'model_dump'):
-                # For pydantic models
-                telemetry_config_dict = self.config.vector_store.config.model_dump()
-            else:
-                # For other objects, manually copy common attributes
-                for attr in ['host', 'port', 'path', 'api_key', 'index_name', 'dimension', 'metric']:
-                    if hasattr(self.config.vector_store.config, attr):
-                        telemetry_config_dict[attr] = getattr(self.config.vector_store.config, attr)
+        # Create telemetry config manually to avoid deepcopy issues with thread locks
+        telemetry_config_dict = {}
+        if hasattr(self.config.vector_store.config, 'model_dump'):
+            # For pydantic models
+            telemetry_config_dict = self.config.vector_store.config.model_dump()
+        else:
+            # For other objects, manually copy common attributes
+            for attr in ['host', 'port', 'path', 'api_key', 'index_name', 'dimension', 'metric']:
+                if hasattr(self.config.vector_store.config, attr):
+                    telemetry_config_dict[attr] = getattr(self.config.vector_store.config, attr)
 
-            # Override collection name for telemetry
-            telemetry_config_dict['collection_name'] = "mem0migrations"
+        # Override collection name for telemetry
+        telemetry_config_dict['collection_name'] = "mem0migrations"
 
-            # Set path for file-based vector stores
-            telemetry_config = _safe_deepcopy_config(self.config.vector_store.config)
-            if self.config.vector_store.provider in ["faiss", "qdrant"]:
-                provider_path = f"migrations_{self.config.vector_store.provider}"
-                telemetry_config_dict['path'] = os.path.join(mem0_dir, provider_path)
-                os.makedirs(telemetry_config_dict['path'], exist_ok=True)
+        # Set path for file-based vector stores
+        telemetry_config = _safe_deepcopy_config(self.config.vector_store.config)
+        if self.config.vector_store.provider in ["faiss", "qdrant"]:
+            provider_path = f"migrations_{self.config.vector_store.provider}"
+            telemetry_config_dict['path'] = os.path.join(mem0_dir, provider_path)
+            os.makedirs(telemetry_config_dict['path'], exist_ok=True)
 
-            # Create the config object using the same class as the original
-            telemetry_config = self.config.vector_store.config.__class__(**telemetry_config_dict)
-            self._telemetry_vector_store = VectorStoreFactory.create(
-                self.config.vector_store.provider, telemetry_config
-            )
+        # Create the config object using the same class as the original
+        telemetry_config = self.config.vector_store.config.__class__(**telemetry_config_dict)
+        self._telemetry_vector_store = VectorStoreFactory.create(
+            self.config.vector_store.provider, telemetry_config
+        )
         capture_event("mem0.init", self, {"sync_type": "sync"})
 
     @classmethod
@@ -1273,14 +1272,14 @@ class AsyncMemory(MemoryBase):
         else:
             self.graph = None
 
-        if MEM0_TELEMETRY:
-            telemetry_config = _safe_deepcopy_config(self.config.vector_store.config)
-            telemetry_config.collection_name = "mem0migrations"
-            if self.config.vector_store.provider in ["faiss", "qdrant"]:
-                provider_path = f"migrations_{self.config.vector_store.provider}"
-                telemetry_config.path = os.path.join(mem0_dir, provider_path)
-                os.makedirs(telemetry_config.path, exist_ok=True)
-            self._telemetry_vector_store = VectorStoreFactory.create(self.config.vector_store.provider, telemetry_config)
+        telemetry_config = _safe_deepcopy_config(self.config.vector_store.config)
+        telemetry_config.collection_name = "mem0migrations"
+        if self.config.vector_store.provider in ["faiss", "qdrant"]:
+            provider_path = f"migrations_{self.config.vector_store.provider}"
+            telemetry_config.path = os.path.join(mem0_dir, provider_path)
+            os.makedirs(telemetry_config.path, exist_ok=True)
+        self._telemetry_vector_store = VectorStoreFactory.create(self.config.vector_store.provider, telemetry_config)
+
         capture_event("mem0.init", self, {"sync_type": "async"})
 
     @classmethod

openclaw/.npmrc

@@ -1,2 +0,0 @@
-package-manager-strict-version=false
-approve-builds=esbuild

openclaw/index.ts

@@ -138,7 +138,7 @@ class PlatformProvider implements Mem0Provider {
 
   private async _init(): Promise<void> {
     const { default: MemoryClient } = await import("mem0ai");
-    const opts: { apiKey: string; org_id?: string; project_id?: string } = { apiKey: this.apiKey };
+    const opts: Record<string, string> = { apiKey: this.apiKey };
     if (this.orgId) opts.org_id = this.orgId;
     if (this.projectId) opts.project_id = this.projectId;
     this.client = new MemoryClient(opts);

openclaw/openclaw-plugin-sdk.d.ts

@@ -1,30 +0,0 @@
-declare module "openclaw/plugin-sdk" {
-  export interface OpenClawPluginApi {
-    pluginConfig: Record<string, unknown>;
-    logger: {
-      info(msg: string): void;
-      warn(msg: string): void;
-      error(msg: string): void;
-      debug(msg: string): void;
-    };
-    resolvePath(p: string): string;
-    registerTool(
-      definition: Record<string, unknown>,
-      metadata?: Record<string, unknown>,
-    ): void;
-    on(
-      event: string,
-      handler: (event: any, ctx: any) => any,
-    ): void;
-    registerCli(
-      handler: (context: { program: any }) => void,
-      options?: Record<string, unknown>,
-    ): void;
-    registerService(service: {
-      id: string;
-      start: () => void;
-      stop: () => void;
-    }): void;
-    [key: string]: unknown;
-  }
-}

openclaw/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mem0/openclaw-mem0",
-  "version": "0.3.3",
+  "version": "0.3.1",
   "type": "module",
   "description": "Mem0 memory backend for OpenClaw — platform or self-hosted open-source",
   "license": "Apache-2.0",
@@ -11,20 +11,7 @@
     "mem0",
     "long-term-memory"
   ],
-  "main": "./dist/index.js",
-  "types": "./dist/index.d.ts",
-  "exports": {
-    ".": {
-      "types": "./dist/index.d.ts",
-      "import": "./dist/index.js"
-    }
-  },
-  "files": [
-    "dist",
-    "openclaw.plugin.json"
-  ],
   "scripts": {
-    "build": "tsup",
     "test": "vitest run"
   },
   "dependencies": {
@@ -33,13 +20,10 @@
   },
   "openclaw": {
     "extensions": [
-      "./dist/index.js"
+      "./index.ts"
     ]
   },
   "devDependencies": {
-    "@types/node": "^22.15.0",
-    "tsup": "^8.5.0",
-    "typescript": "^5.8.3",
     "vitest": "^4.0.18"
   }
 }

openclaw/pnpm-workspace.yaml

@@ -1,6 +0,0 @@
-approveBuilds: esbuild
-
-onlyBuiltDependencies:
-  - better-sqlite3
-  - esbuild
-  - protobufjs

openclaw/tsconfig.json

@@ -1,22 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "ES2022",
-    "module": "ES2022",
-    "moduleResolution": "bundler",
-    "declaration": true,
-    "declarationMap": true,
-    "sourceMap": true,
-    "outDir": "dist",
-    "rootDir": ".",
-    "strict": false,
-    "noImplicitAny": false,
-    "types": ["node"],
-    "esModuleInterop": true,
-    "skipLibCheck": true,
-    "forceConsistentCasingInFileNames": true,
-    "isolatedModules": true,
-    "verbatimModuleSyntax": true
-  },
-  "include": ["index.ts", "openclaw-plugin-sdk.d.ts"],
-  "exclude": ["node_modules", "dist", "**/*.test.ts"]
-}

openclaw/tsup.config.ts

@@ -1,9 +0,0 @@
-import { defineConfig } from "tsup";
-
-export default defineConfig({
-  entry: ["index.ts"],
-  format: ["esm"],
-  dts: true,
-  sourcemap: true,
-  clean: true,
-});

pyproject.toml

@@ -20,7 +20,7 @@ dependencies = [
     "posthog>=3.5.0",
     "pytz>=2024.1",
     "sqlalchemy>=2.0.31",
-    "protobuf>=5.29.6,<7.0.0",
+    "protobuf>=5.29.0,<6.0.0",
 ]
 
 [project.optional-dependencies]

tests/test_main.py

@@ -296,43 +296,3 @@ def test_custom_prompts(memory_custom_instance):
                 messages=[{"role": "user", "content": mock_get_update_memory_messages.return_value}],
                 response_format={"type": "json_object"},
             )
-
-
-def test_no_telemetry_vector_store_when_disabled():
-    """VectorStoreFactory should only be called once (for user data) when telemetry is disabled."""
-    with (
-        patch("mem0.memory.main.MEM0_TELEMETRY", False),
-        patch("mem0.utils.factory.EmbedderFactory") as mock_embedder,
-        patch("mem0.memory.main.VectorStoreFactory") as mock_vector_store,
-        patch("mem0.utils.factory.LlmFactory") as mock_llm,
-        patch("mem0.memory.telemetry.capture_event"),
-    ):
-        mock_embedder.create.return_value = Mock()
-        mock_vector_store.create.return_value = Mock()
-        mock_llm.create.return_value = Mock()
-
-        config = MemoryConfig(version="v1.1")
-        Memory(config)
-
-        # VectorStoreFactory.create should be called exactly once — for user data only, not telemetry
-        assert mock_vector_store.create.call_count == 1
-
-
-def test_telemetry_vector_store_created_when_enabled():
-    """VectorStoreFactory should be called twice (user data + telemetry) when telemetry is enabled."""
-    with (
-        patch("mem0.memory.main.MEM0_TELEMETRY", True),
-        patch("mem0.utils.factory.EmbedderFactory") as mock_embedder,
-        patch("mem0.memory.main.VectorStoreFactory") as mock_vector_store,
-        patch("mem0.utils.factory.LlmFactory") as mock_llm,
-        patch("mem0.memory.telemetry.capture_event"),
-    ):
-        mock_embedder.create.return_value = Mock()
-        mock_vector_store.create.return_value = Mock()
-        mock_llm.create.return_value = Mock()
-
-        config = MemoryConfig(version="v1.1")
-        Memory(config)
-
-        # VectorStoreFactory.create should be called twice — user data + telemetry
-        assert mock_vector_store.create.call_count == 2