fix: adding skills config and updating the plugin the config (#4958)

2026-04-29 22:19:40 +05:30
parent 594b4e65d6
commit ebb9bb2b15
20 changed files with 585 additions and 176 deletions
@@ -1,6 +1,6 @@
 ---
 title: OpenClaw
-description: "Add long-term memory to OpenClaw agents using the Mem0 plugin with auto-recall and auto-capture support."
+description: "Add long-term memory to OpenClaw agents using the Mem0 plugin with skills-based memory extraction and recall."
 ---

 Add long-term memory to [OpenClaw](https://github.com/openclaw/openclaw) agents with the `@mem0/openclaw-mem0` plugin. Your agent forgets everything between sessions — this plugin fixes that by automatically watching conversations, extracting what matters, and bringing it back when relevant.
@@ -12,11 +12,12 @@ Add long-term memory to [OpenClaw](https://github.com/openclaw/openclaw) agents
 </Frame>

 The plugin provides:
-1. **Auto-Recall** — Before the agent responds, memories matching the current message are injected into context
-2. **Auto-Capture** — After the agent responds, the exchange is sent to Mem0 which decides what's worth keeping
-3. **Agent Tools** — Eight tools for explicit memory operations during conversations
+1. **Triage** — The agent extracts durable facts from conversations using a structured protocol with importance gates and domain overlays
+2. **Recall** — Before each turn, relevant memories are retrieved with reranking and injected into context
+3. **Dream** — Periodic memory consolidation: merges duplicates, resolves conflicts, prunes stale entries
+4. **Agent Tools** — Eight tools for explicit memory operations during conversations

-Both auto-recall and auto-capture are opt-in (`autoRecall: true`, `autoCapture: true` in config). Once enabled, they run silently with no manual intervention required.
+Skills mode, `autoRecall`, and `autoCapture` are all enabled by default during `openclaw mem0 init`.

 ## Requirements

@@ -24,12 +25,12 @@ Check your OpenClaw version:

 ```bash
 openclaw --version
-# OpenClaw 2026.4.15 (041266a)
+# OpenClaw 2026.4.25 (aa36ee6)
 ```

 | OpenClaw Version | Plugin Support |
 |------------------|----------------|
-| `>= 2026.4.15`   | Fully supported |
+| `>= 2026.4.25`   | Fully supported |

 ## Installation

@@ -100,9 +101,9 @@ You no longer need manual config editing to get started. Everything happens insi
  </Step>
 </Steps>

-That's it. No API key, no config file editing, no environment variables. The plugin is now active and auto-capture and auto-recall are running on every turn.
+That's it. No API key, no config file editing, no environment variables. The plugin is now active with skills-based memory (triage, recall, and dream) running automatically.

-<Note>The chat flow uses the same underlying config as manual setup — it writes `apiKey` and `userId` into `openclaw.json` for you. You can still open the file to inspect or override values afterward.</Note>
+<Note>The chat flow uses the same underlying config as manual setup — it writes `apiKey`, `userId`, and `skills` config into `openclaw.json` for you. You can still open the file to inspect or override values afterward.</Note>

 #### Option 2: Manual Config

@@ -131,7 +132,19 @@ That's it. No API key, no config file editing, no environment variables. The plu
            "enabled": true,
            "config": {
              "apiKey": "${MEM0_API_KEY}",
-              "userId": "alice"  // any unique identifier you choose for this user
+              "userId": "alice",  // any unique identifier you choose for this user
+              "skills": {
+                "triage": { "enabled": true },
+                "recall": {
+                  "enabled": true,
+                  "tokenBudget": 1500,
+                  "rerank": true,
+                  "keywordSearch": true,
+                  "identityAlwaysInclude": true
+                },
+                "dream": { "enabled": true },
+                "domain": "companion"
+              }
            }
          }
        }
@@ -328,8 +341,8 @@ openclaw mem0 status --json
 |-----|------|---------|-------------|
 | `mode` | `"platform"` \| `"open-source"` | `"platform"` | Which backend to use |
 | `userId` | `string` | OS username | Scope memories per user |
-| `autoRecall` | `boolean` | `false` | Inject memories before each turn (opt-in) |
-| `autoCapture` | `boolean` | `false` | Store facts after each turn (opt-in) |
+| `autoRecall` | `boolean` | `true` | Inject memories before each turn. Ignored when `skills` is configured. |
+| `autoCapture` | `boolean` | `true` | Store facts after each turn. Ignored when `skills` is configured. |
 | `topK` | `number` | `5` | Max memories per recall |
 | `searchThreshold` | `number` | `0.3` | Min similarity (0–1) |

@@ -426,9 +439,11 @@ If `openclaw plugins update` fails:
 | **Platform** | Conversations sent to `api.mem0.ai` for extraction and storage | Mem0 cloud |
 | **Open-source** | Embeddings generated via configured provider (default: OpenAI API). Vectors stored locally. | `~/.mem0/vector_store.db` (SQLite) |

-### Enabling Auto-Capture and Auto-Recall
+### Auto-Capture and Auto-Recall

-Auto-capture and auto-recall are disabled by default (opt-in). To enable either or both:
+Auto-capture and auto-recall are **enabled by default**. When skills mode is configured (the default after `openclaw mem0 init`), these are ignored in favor of the skills-based triage/recall/dream protocol.
+
+To disable either:

 ```json5
 {
@@ -436,8 +451,8 @@ Auto-capture and auto-recall are disabled by default (opt-in). To enable either
    "entries": {
      "openclaw-mem0": {
        "config": {
-          "autoCapture": true,   // send conversations to Mem0 for extraction
-          "autoRecall": true     // inject relevant memories into context
+          "autoCapture": false,   // disable automatic fact extraction
+          "autoRecall": false     // disable automatic memory injection
        }
      }
    }
@@ -445,7 +460,7 @@ Auto-capture and auto-recall are disabled by default (opt-in). To enable either
 }
 ```

-Without these enabled, the agent can still use memory tools (`memory_add`, `memory_search`, etc.) explicitly — only the automatic background behavior is off.
+The agent can always use memory tools (`memory_add`, `memory_search`, etc.) explicitly regardless of these settings.

 ### Credential Protection

@@ -2,7 +2,9 @@

 Long-term memory for [OpenClaw](https://github.com/openclaw/openclaw) agents, powered by [Mem0](https://mem0.ai).

-Your agent forgets everything between sessions. This plugin fixes that — it stores conversations, extracts what matters, and brings it back when relevant. Enable `autoRecall` and `autoCapture` in config to run this automatically, or use agent tools for explicit control.
+Your agent forgets everything between sessions. This plugin fixes that — it stores conversations, extracts what matters, and brings it back when relevant.
+
+By default, the plugin runs in **skills mode**: the agent controls what to remember (triage), how to recall (recall), and periodic cleanup (dream). Skills mode, `autoRecall`, and `autoCapture` are all enabled by default during `openclaw mem0 init`.

 ## Requirements

@@ -10,12 +12,12 @@ Check your OpenClaw version:

 ```bash
 openclaw --version
-# OpenClaw 2026.4.15 (041266a)
+# OpenClaw 2026.4.25 (aa36ee6)
 ```

 | OpenClaw Version | Plugin Support |
 |------------------|----------------|
-| `>= 2026.4.15`   | Fully supported |
+| `>= 2026.4.25`   | Fully supported |

 ## Quick Start

@@ -50,7 +52,19 @@ openclaw --version
           "enabled": true,
           "config": {
             "apiKey": "${MEM0_API_KEY}",
-             "userId": "alice"
+             "userId": "alice",
+             "skills": {
+               "triage": { "enabled": true },
+               "recall": {
+                 "enabled": true,
+                 "tokenBudget": 1500,
+                 "rerank": true,
+                 "keywordSearch": true,
+                 "identityAlwaysInclude": true
+               },
+               "dream": { "enabled": true },
+               "domain": "companion"
+             }
           }
         }
       }
@@ -182,11 +196,24 @@ All `oss` fields are optional. See the [Mem0 OSS docs](https://docs.mem0.ai/open
  <img src="https://raw.githubusercontent.com/mem0ai/mem0/main/docs/images/openclaw-architecture.png" alt="Architecture" width="800" />
 </p>

-**Auto-Recall** (`autoRecall: true`) — Before the agent responds, the plugin searches Mem0 for relevant memories and injects them into context.
+### Skills Mode (Default)

-**Auto-Capture** (`autoCapture: true`) — After the agent responds, the conversation is filtered through a noise-removal pipeline and sent to Mem0. New facts get stored, stale ones updated, duplicates merged.
+Enabled automatically during `openclaw mem0 init`. The agent controls memory through three skills:

-Both are opt-in. Once enabled, they run silently — no prompting, no manual calls required. Without them, the agent can still use memory tools (`memory_add`, `memory_search`, etc.) explicitly.
+- **Triage** — Extracts durable facts from conversations using a structured protocol. Categories, importance gates, and domain overlays control what gets stored.
+- **Recall** — Before each turn, rewrites the user message into search queries, retrieves relevant memories with reranking, and injects them into context.
+- **Dream** — Periodic memory consolidation: merges duplicates, resolves conflicts, and prunes stale entries.
+
+When skills mode is active, the skills handle memory operations. `autoRecall` and `autoCapture` remain `true` by default alongside skills mode. The built-in `session-memory` hook is disabled to avoid conflicts.
+
+### Auto-Recall & Auto-Capture
+
+When skills mode is not configured, the plugin uses `autoRecall` and `autoCapture` (both enabled by default):
+
+- **Auto-Recall** — Before the agent responds, the plugin searches Mem0 for relevant memories and injects them into context.
+- **Auto-Capture** — After the agent responds, the conversation is filtered through a noise-removal pipeline and sent to Mem0. New facts get stored, stale ones updated, duplicates merged.
+
+Set `autoRecall: false` or `autoCapture: false` to disable individually. The agent can also use memory tools (`memory_add`, `memory_search`, etc.) explicitly regardless of these settings.

 ### Memory Scopes

@@ -260,10 +287,25 @@ openclaw mem0 help --json                                   # discover all comma
 | --- | ---- | ------- | ----------- |
 | `mode` | `"platform"` \| `"open-source"` | `"platform"` | Backend mode |
 | `userId` | `string` | OS username | User identifier. All memories scoped to this value. |
-| `autoRecall` | `boolean` | `false` | Inject relevant memories before each turn |
-| `autoCapture` | `boolean` | `false` | Extract and store facts after each turn |
+| `autoRecall` | `boolean` | `true` | Inject relevant memories before each turn. Ignored when `skills` is set. |
+| `autoCapture` | `boolean` | `true` | Extract and store facts after each turn. Ignored when `skills` is set. |
 | `topK` | `number` | `5` | Max memories returned per recall |
-| `searchThreshold` | `number` | `0.3` | Minimum similarity score (0-1) |
+| `searchThreshold` | `number` | `0.1` | Minimum similarity score (0-1) |
+
+### Skills Mode (Recommended)
+
+Enabled by default during `openclaw mem0 init`. `autoRecall` and `autoCapture` are also `true` by default and work alongside skills mode.
+
+| Key | Type | Default | Description |
+| --- | ---- | ------- | ----------- |
+| `skills.triage.enabled` | `boolean` | `true` | Enable fact extraction from conversations |
+| `skills.recall.enabled` | `boolean` | `true` | Enable memory recall before each turn |
+| `skills.recall.tokenBudget` | `number` | `1500` | Max tokens for injected memories |
+| `skills.recall.rerank` | `boolean` | `true` | Rerank search results for relevance |
+| `skills.recall.keywordSearch` | `boolean` | `true` | Augment with keyword-based search |
+| `skills.recall.identityAlwaysInclude` | `boolean` | `true` | Always include identity memories |
+| `skills.dream.enabled` | `boolean` | `true` | Enable periodic memory consolidation |
+| `skills.domain` | `string` | `"companion"` | Domain overlay for triage rules |

 ### Platform Mode

@@ -306,13 +348,15 @@ To avoid plaintext credentials:
 - Use env var references: `"apiKey": "${MEM0_API_KEY}"`
 - Use SecretRef: `"apiKey": {"source": "env", "provider": "default", "id": "MEM0_API_KEY"}`

-### Auto-Capture & Auto-Recall
+### Memory Processing

-Both are **disabled by default** (`false`). When enabled:
- `autoCapture`: sends conversation content to your configured backend (cloud or local) after each agent turn
- `autoRecall`: queries your memory store before each agent turn and injects results into agent context
+In **skills mode** (default after `openclaw mem0 init`), the agent uses structured protocols (triage, recall, dream) to decide what to store and recall. The built-in `session-memory` hook is disabled to avoid conflicts.

-Do not enable `autoCapture` in platform mode if your conversations contain sensitive data you do not want stored on Mem0 cloud.
+Without skills, `autoCapture` and `autoRecall` are both enabled by default:
+- `autoCapture`: sends conversation content to your configured backend after each agent turn
+- `autoRecall`: queries your memory store before each agent turn and injects results into context
+
+In platform mode, conversation content is sent to `api.mem0.ai` for processing. Do not use with sensitive data you do not want stored on Mem0 cloud.

 ### Persistence Locations

@@ -43,6 +43,7 @@ import {
  readPluginAuth,
  writePluginAuth,
  writePluginConfigField,
+  enableSkillsConfig,
  OPENCLAW_CONFIG_FILE,
 } from "./config-file.ts";
 import { jsonOut, jsonErr, redactSecrets } from "./json-helpers.ts";
@@ -50,6 +51,7 @@ import {
  LLM_PROVIDERS, EMBEDDER_PROVIDERS, VECTOR_PROVIDERS,
  buildOssLlmConfig, buildOssEmbedderConfig, buildOssVectorConfig,
  validateOssFlags, checkQdrantConnectivity, checkOllamaConnectivity, checkPgConnectivity,
+  collectionNameForDims,
 } from "./oss-wizard.ts";

 // ============================================================================
@@ -213,10 +215,11 @@ function saveLoginConfig(
  const userId = resolveUserId(userIdFlag, existingAuth.userId);

  writePluginAuth({ apiKey, userId, mode: "platform", ...(userEmail && { userEmail }) });
+  enableSkillsConfig(userId);

  if (!silent) {
    console.log(`  Configuration saved to ${OPENCLAW_CONFIG_FILE}`);
-    console.log(`  Mode: platform`);
+    console.log(`  Mode: platform (skills enabled)`);
    console.log(`  User ID: ${userId}`);
  }
 }
@@ -226,10 +229,11 @@ function saveOssConfig(userIdFlag?: string, silent?: boolean): void {
  const userId = resolveUserId(userIdFlag, existingAuth.userId);

  writePluginAuth({ apiKey: "", userId, mode: "open-source" });
+  enableSkillsConfig(userId);

  if (!silent) {
    console.log(`  Configuration saved to ${OPENCLAW_CONFIG_FILE}`);
-    console.log(`  Mode: open-source`);
+    console.log(`  Mode: open-source (skills enabled)`);
    console.log(`  User ID: ${userId}`);
  }
 }
@@ -350,6 +354,17 @@ async function runOssWizardInteractive(
  }

  const vecCfg = buildOssVectorConfig(vecDef.id, vecInput as any);
+
+  // Warn if switching embedder dimensions — old collection will have wrong vector size
+  const existingVecCfg = existingAuth as any;
+  const oldDims = existingVecCfg?.oss?.vectorStore?.config?.dimension as number | undefined;
+  if (oldDims && dims && oldDims !== dims) {
+    console.log(`\n  ⚠ Dimension change detected: ${oldDims} → ${dims}`);
+    console.log(`    Old collection had ${oldDims}-dim vectors. New embedder produces ${dims}-dim vectors.`);
+    console.log(`    A new collection "${collectionNameForDims(dims)}" will be created.`);
+    console.log(`    Old memories in the previous collection will NOT be accessible with the new embedder.\n`);
+  }
+
  writePluginConfigField(["oss", "vectorStore"], vecCfg);

  // === Step 4: User ID ===
@@ -370,6 +385,8 @@ async function runOssWizardInteractive(
  console.log(`    LLM:       ${llmDef.id} (${llmCfg.config.model})`);
  console.log(`    Embedder:  ${embDef.id} (${embCfg.config.model})`);
  console.log(`    Vector:    ${vecDef.id} (${vecDef.id === "qdrant" ? vecCfg.config.url : vecCfg.config.host})`);
+  console.log(`    Dims:      ${dims ?? "unknown"}`);
+  console.log(`    Collection:${dims ? " " + collectionNameForDims(dims) : " (default)"}`);
  console.log(`    User ID:   ${userIdValue}`);
  console.log("");
  console.log("  Run: openclaw gateway restart");
@@ -539,6 +556,15 @@ export function registerCliCommands(
                  }
                }

+                // Warn on dimension change
+                const prevAuth = readPluginAuth() as any;
+                const prevDims = prevAuth?.oss?.vectorStore?.config?.dimension as number | undefined;
+                const newDims = dims;
+                let dimWarning: string | undefined;
+                if (prevDims && newDims && prevDims !== newDims) {
+                  dimWarning = `Dimension change: ${prevDims} → ${newDims}. New collection "${collectionNameForDims(newDims)}" will be used. Old memories not accessible with new embedder.`;
+                }
+
                writePluginConfigField(["oss", "llm"], llmCfg);
                writePluginConfigField(["oss", "embedder"], { provider: embCfg.provider, config: embCfg.config });
                writePluginConfigField(["oss", "vectorStore"], vecCfg);
@@ -550,9 +576,10 @@ export function registerCliCommands(
                  mode: "open-source",
                  config: {
                    llm: { provider: llmCfg.provider, model: llmCfg.config.model },
-                    embedder: { provider: embCfg.provider, model: embCfg.config.model },
-                    vectorStore: { provider: vecCfg.provider, ...(vecId === "qdrant" ? { url: vecCfg.config.url } : { host: vecCfg.config.host }) },
+                    embedder: { provider: embCfg.provider, model: embCfg.config.model, dims: newDims },
+                    vectorStore: { provider: vecCfg.provider, ...(vecId === "qdrant" ? { url: vecCfg.config.url } : { host: vecCfg.config.host }), collectionName: newDims ? collectionNameForDims(newDims) : undefined },
                  },
+                  ...(dimWarning && { warning: dimWarning }),
                  userId: resolveUserId(opts.userId, existingAuth.userId),
                  message: "Open-source mode configured. Restart the gateway: openclaw gateway restart",
                };
@@ -889,7 +916,7 @@ export function registerCliCommands(
                runId?: string,
              ): SearchOptions => {
                const base = buildSearchOptions(userIdOverride, lim, runId);
-                base.threshold = 0.3;
+                base.threshold = 0.1;
                return base;
              };

@@ -19,7 +19,6 @@ export const OPENCLAW_CONFIG_FILE = join(OPENCLAW_CONFIG_DIR, "openclaw.json");
 export const DEFAULT_BASE_URL = "https://api.mem0.ai";

 const PLUGIN_ID = "openclaw-mem0";
-const NPM_PACKAGE = "@mem0/openclaw-mem0";

 // ============================================================================
 // Types
@@ -76,11 +75,44 @@ function readFullConfig(): Record<string, unknown> {
  }
 }

-/** Write the full ~/.openclaw/openclaw.json (preserves all non-plugin config) */
+/**
+ * Write the full ~/.openclaw/openclaw.json.
+ *
+ * Re-reads the file immediately before writing and deep-merges the
+ * `plugins` section so that fields written by other processes (e.g.
+ * OpenClaw gateway adding `installs`, `slots`) are not clobbered.
+ */
 function writeFullConfig(config: Record<string, unknown>): void {
  if (!exists(OPENCLAW_CONFIG_DIR)) {
    mkdirp(OPENCLAW_CONFIG_DIR, 0o700);
  }
+
+  if (exists(OPENCLAW_CONFIG_FILE)) {
+    try {
+      const diskText = readText(OPENCLAW_CONFIG_FILE);
+      if (diskText.trim()) {
+        const disk = JSON.parse(diskText) as Record<string, unknown>;
+        const diskPlugins = disk.plugins as Record<string, unknown> | undefined;
+        const ourPlugins = config.plugins as Record<string, unknown> | undefined;
+        if (diskPlugins && ourPlugins) {
+          const OPENCLAW_MANAGED = ["installs", "slots"];
+          for (const key of OPENCLAW_MANAGED) {
+            if (key in diskPlugins) {
+              ourPlugins[key] = diskPlugins[key];
+            }
+          }
+          for (const key of Object.keys(diskPlugins)) {
+            if (!(key in ourPlugins)) {
+              ourPlugins[key] = diskPlugins[key];
+            }
+          }
+        }
+      }
+    } catch {
+      // disk unreadable — write our version as-is
+    }
+  }
+
  writeText(
    OPENCLAW_CONFIG_FILE,
    JSON.stringify(config, null, 2),
@@ -122,82 +154,6 @@ export function writePluginAuth(auth: PluginAuthConfig): void {
  writeFullConfig(full);
 }

-/**
- * Ensure the plugin has a valid install record and is in plugins.allow.
- *
- * OpenClaw's `plugins update` command requires a `plugins.installs.<id>`
- * record with `source: "npm"` and `spec` to know how to update. Without
- * this, `openclaw plugins update` prints "No install record" and skips.
- *
- * Similarly, if `plugins.allow` exists as an array, the plugin ID must
- * be in it or OpenClaw treats the plugin as untrusted.
- *
- * This is safe to call multiple times — it only writes missing fields.
- */
-export function ensureInstallRecord(): void {
-  try {
-    const full = readFullConfig() as any;
-
-    const entry = full?.plugins?.entries?.[PLUGIN_ID];
-    const record = full?.plugins?.installs?.[PLUGIN_ID];
-    const allow = full?.plugins?.allow;
-    const specPinned = record?.spec && /\d+\.\d+\.\d+/.test(record.spec);
-    if (
-      entry?.enabled === true &&
-      record?.source &&
-      record?.spec &&
-      !specPinned &&
-      Array.isArray(allow) &&
-      allow.includes(PLUGIN_ID)
-    ) {
-      return;
-    }
-
-    ensurePluginStructure(full);
-
-    let changed = false;
-
-    // Ensure install record exists for `openclaw plugins update` support
-    if (!full.plugins.installs) full.plugins.installs = {};
-    if (!full.plugins.installs[PLUGIN_ID]) {
-      full.plugins.installs[PLUGIN_ID] = {
-        source: "npm",
-        spec: `${NPM_PACKAGE}@latest`,
-        resolvedName: NPM_PACKAGE,
-        installedAt: new Date().toISOString(),
-      };
-      changed = true;
-    } else {
-      const record = full.plugins.installs[PLUGIN_ID];
-      if (!record.source) {
-        record.source = "npm";
-        changed = true;
-      }
-      if (!record.spec || /\d+\.\d+\.\d+/.test(record.spec)) {
-        record.spec = record.source === "clawhub"
-          ? `clawhub:${NPM_PACKAGE}`
-          : `${NPM_PACKAGE}@latest`;
-        changed = true;
-      }
-      if (!record.resolvedName) {
-        record.resolvedName = NPM_PACKAGE;
-        changed = true;
-      }
-    }
-
-    if (!Array.isArray(full.plugins.allow)) {
-      full.plugins.allow = [PLUGIN_ID];
-      changed = true;
-    } else if (!full.plugins.allow.includes(PLUGIN_ID)) {
-      full.plugins.allow.push(PLUGIN_ID);
-      changed = true;
-    }
-
-    if (changed) writeFullConfig(full);
-  } catch {
-    // Best-effort — don't break plugin loading if config is unreadable
-  }
-}

 /** Ensure the nested plugin entry structure exists in the config object. */
 function ensurePluginStructure(full: any): void {
@@ -231,6 +187,50 @@ export function writePluginConfigField(
  writeFullConfig(full);
 }

+/**
+ * Default skills configuration — matches configure.py output.
+ * Enables triage, recall (with reranking), and dream consolidation.
+ */
+const DEFAULT_SKILLS_CONFIG = {
+  triage: { enabled: true },
+  recall: {
+    enabled: true,
+    tokenBudget: 1500,
+    rerank: true,
+    keywordSearch: true,
+    identityAlwaysInclude: true,
+  },
+  dream: { enabled: true },
+  domain: "companion",
+};
+
+/**
+ * Enable skills-mode config after onboarding.
+ *
+ * Sets skills config on the plugin entry, tools.profile = "full",
+ * and disables the built-in session-memory hook to avoid conflicts.
+ * Preserves any existing skills config if already set.
+ */
+export function enableSkillsConfig(userId: string): void {
+  const full = readFullConfig() as any;
+  ensurePluginStructure(full);
+
+  const cfg = full.plugins.entries[PLUGIN_ID].config;
+  if (!cfg.skills) {
+    cfg.skills = { ...DEFAULT_SKILLS_CONFIG };
+  }
+
+  if (!full.tools) full.tools = {};
+  full.tools.profile = "full";
+
+  if (!full.hooks) full.hooks = {};
+  if (!full.hooks.internal) full.hooks.internal = {};
+  if (!full.hooks.internal.entries) full.hooks.internal.entries = {};
+  full.hooks.internal.entries["session-memory"] = { enabled: false };
+
+  writeFullConfig(full);
+}
+
 /** Get the configured base URL from openclaw.json or default */
 export function getBaseUrl(): string {
  const auth = readPluginAuth();
@@ -56,8 +56,15 @@ export const KNOWN_EMBEDDER_DIMS: Record<string, number> = {
  "text-embedding-3-large": 3072,
  "text-embedding-ada-002": 1536,
  "nomic-embed-text": 768,
+  "mxbai-embed-large": 1024,
+  "all-minilm": 384,
+  "snowflake-arctic-embed": 1024,
 };

+export function collectionNameForDims(dims: number): string {
+  return `mem0_${dims}d`;
+}
+
 // ============================================================================
 // Config builders
 // ============================================================================
@@ -105,7 +112,8 @@ export function buildOssEmbedderConfig(
    config.url = input.url || def.defaultUrl;
  }

-  const dims = KNOWN_EMBEDDER_DIMS[model] ?? undefined;
+  const dims = KNOWN_EMBEDDER_DIMS[model] ?? def.defaultDims;
+  if (dims) config.embeddingDims = dims;
  return { provider: providerId, config, dims };
 }

@@ -138,7 +146,11 @@ export function buildOssVectorConfig(
    config.dbname = input.dbname || "postgres";
  }

-  if (input.dims) config.dimension = input.dims;
+  if (input.dims) {
+    config.dimension = input.dims;
+    config.embeddingModelDims = input.dims;
+    config.collectionName = collectionNameForDims(input.dims);
+  }
  return { provider: providerId, config };
 }

@@ -231,8 +231,8 @@ export const mem0ConfigSchema = {
                return "default";
              }
            })(),
-      autoCapture: cfg.autoCapture === true,
-      autoRecall: cfg.autoRecall === true,
+      autoCapture: cfg.autoCapture !== false,
+      autoRecall: cfg.autoRecall !== false,
      // v3.0.0: customPrompt renamed to customInstructions (backwards-compat: accept either)
      customInstructions:
        typeof cfg.customInstructions === "string"
@@ -247,7 +247,7 @@ export const mem0ConfigSchema = {
          ? (cfg.customCategories as Record<string, string>)
          : DEFAULT_CUSTOM_CATEGORIES,
      searchThreshold:
-        typeof cfg.searchThreshold === "number" ? cfg.searchThreshold : 0.5,
+        typeof cfg.searchThreshold === "number" ? cfg.searchThreshold : 0.1,
      topK: typeof cfg.topK === "number" ? cfg.topK : 5,
      needsSetup,
      oss: ossConfig,
@@ -561,3 +561,52 @@ What is the deployment plan?`,
    expect(result).toHaveLength(2);
  });
 });
+
+// ---------------------------------------------------------------------------
+// Auto-recall threshold filtering
+// The recall hook in index.ts filters search results using cfg.searchThreshold.
+// These tests verify the threshold is honored and no hardcoded floor overrides it.
+// ---------------------------------------------------------------------------
+describe("auto-recall threshold respects cfg.searchThreshold", () => {
+  const typicalV3Results = [
+    { id: "1", score: 0.553, memory: "User prefers dark mode" },
+    { id: "2", score: 0.496, memory: "User works on mem0 project" },
+    { id: "3", score: 0.471, memory: "User likes TypeScript" },
+    { id: "4", score: 0.45, memory: "User's timezone is PST" },
+    { id: "5", score: 0.42, memory: "User uses VS Code" },
+    { id: "6", score: 0.35, memory: "User mentioned family trip" },
+  ];
+
+  function applyThresholdFilter(
+    results: typeof typicalV3Results,
+    searchThreshold: number,
+  ) {
+    return results.filter((r) => (r.score ?? 0) >= searchThreshold);
+  }
+
+  it("default 0.5 threshold returns results scoring >= 0.5", () => {
+    const filtered = applyThresholdFilter(typicalV3Results, 0.5);
+    expect(filtered).toHaveLength(1);
+    expect(filtered[0].id).toBe("1");
+  });
+
+  it("threshold 0.4 returns results scoring >= 0.4", () => {
+    const filtered = applyThresholdFilter(typicalV3Results, 0.4);
+    expect(filtered).toHaveLength(5);
+  });
+
+  it("threshold 0.3 returns all results", () => {
+    const filtered = applyThresholdFilter(typicalV3Results, 0.3);
+    expect(filtered).toHaveLength(6);
+  });
+
+  it("threshold 0.6 correctly filters everything below", () => {
+    const filtered = applyThresholdFilter(typicalV3Results, 0.6);
+    expect(filtered).toHaveLength(0);
+  });
+
+  it("threshold 0 returns all results", () => {
+    const filtered = applyThresholdFilter(typicalV3Results, 0);
+    expect(filtered).toHaveLength(6);
+  });
+});
@@ -54,15 +54,12 @@ import {
 import { PlatformBackend } from "./backend/platform.ts";
 import type { Backend } from "./backend/base.ts";
 import { registerCliCommands } from "./cli/commands.ts";
-import { readPluginAuth, ensureInstallRecord } from "./cli/config-file.ts";
+import { readPluginAuth } from "./cli/config-file.ts";
 import { registerAllTools } from "./tools/index.ts";
 import type { ToolDeps } from "./tools/index.ts";
 import { captureEvent } from "./telemetry.ts";
 import { bootstrapTelemetryFlag } from "./fs-safe.ts";

-bootstrapTelemetryFlag();
-ensureInstallRecord();
-
 // ============================================================================
 // Re-exports (for tests and external consumers)
 // ============================================================================
@@ -100,6 +97,8 @@ const memoryPlugin = definePluginEntry({
  description: "Mem0 memory backend — Mem0 platform or self-hosted open-source",

  register(api: OpenClawPluginApi) {
+    bootstrapTelemetryFlag();
+
    // Read auth from openclaw.json plugin config (picks up post-startup login).
    // This is the single source of truth — set via `openclaw mem0 login`.
    const pluginAuth = readPluginAuth();
@@ -207,8 +206,57 @@ const memoryPlugin = definePluginEntry({
          },
          effectiveUserId: _effectiveUserId,
        }),
+        runtime: {
+          async getMemorySearchManager(_params: any) {
+            try {
+              const userId = _effectiveUserId();
+              let memoryCount = 0;
+              try {
+                const memories = await provider.getAll({
+                  user_id: userId,
+                  page_size: 1,
+                  source: "OPENCLAW",
+                });
+                memoryCount = Array.isArray(memories) ? memories.length : 0;
+              } catch {
+                // Non-fatal: status still works without count
+              }
+              return {
+                manager: {
+                  status() {
+                    return {
+                      backend: cfg.mode,
+                      files: 0,
+                      chunks: memoryCount,
+                      dirty: false,
+                      workspaceDir: pluginStateDir ?? "",
+                      userId,
+                    };
+                  },
+                  async probeEmbeddingAvailability() {
+                    return { ok: true };
+                  },
+                  async close() {},
+                },
+              };
+            } catch (err) {
+              return {
+                manager: null,
+                error: `mem0 ${cfg.mode} backend unavailable: ${String(err)}`,
+              };
+            }
+          },
+          resolveMemoryBackendConfig(_params: any) {
+            return {
+              backend: cfg.mode,
+              baseUrl: cfg.baseUrl ?? "https://api.mem0.ai",
+              userId: cfg.userId,
+            };
+          },
+          async closeAllMemorySearchManagers() {},
+        },
      });
-      api.logger.debug("openclaw-mem0: publicArtifacts capability registered");
+      api.logger.debug("openclaw-mem0: memory capability + runtime registered");
    }

    // Helper: build add options
@@ -681,12 +729,8 @@ function registerHooks(
          ),
        );

-        // Client-side threshold filter for auto-recall — use a stricter
-        // threshold (0.6) than explicit tool searches (0.5) to avoid
-        // injecting irrelevant memories into agent context
-        const recallThreshold = Math.max(cfg.searchThreshold, 0.6);
        longTermResults = longTermResults.filter(
-          (r) => (r.score ?? 0) >= recallThreshold,
+          (r) => (r.score ?? 0) >= cfg.searchThreshold,
        );

        // Dynamic thresholding: drop memories scoring less than 50% of
@@ -709,7 +753,7 @@ function registerHooks(
            undefined,
            recallSessionKey,
          );
-          broadOpts.threshold = 0.5;
+          broadOpts.threshold = cfg.searchThreshold;
          const broadResults = await provider.search(
            "recent decisions, preferences, active projects, and configuration",
            broadOpts,
@@ -2,7 +2,7 @@
  "id": "openclaw-mem0",
  "name": "Memory (Mem0)",
  "description": "Mem0 memory backend for OpenClaw — platform (mem0.ai cloud) or self-hosted open-source. Auto-recall and auto-capture are opt-in (disabled by default). Supports OpenAI, Anthropic, Ollama (fully local), Qdrant, and PGVector providers.",
-  "version": "1.0.10",
+  "version": "1.0.11",
  "kind": "memory",
  "skills": ["skills"],
  "commandAliases": [
@@ -17,9 +17,17 @@
      "memory_update", "memory_delete", "memory_event_list", "memory_event_status"
    ]
  },
-  "providerAuthEnvVars": {
-    "mem0": ["MEM0_API_KEY"],
-    "openclaw-mem0-oss": ["OPENAI_API_KEY", "ANTHROPIC_API_KEY"]
+  "setup": {
+    "providers": [
+      {
+        "id": "mem0",
+        "envVars": ["MEM0_API_KEY"]
+      },
+      {
+        "id": "openclaw-mem0-oss",
+        "envVars": ["OPENAI_API_KEY", "ANTHROPIC_API_KEY"]
+      }
+    ]
  },
  "providerAuthChoices": [
    {
@@ -171,13 +179,13 @@
      },
      "autoCapture": {
        "type": "boolean",
-        "default": false,
-        "description": "Opt-in. When true, extracts durable facts after each agent turn. Disabled by default."
+        "default": true,
+        "description": "When true, extracts durable facts after each agent turn. Enabled by default. Ignored in skills mode."
      },
      "autoRecall": {
        "type": "boolean",
-        "default": false,
-        "description": "Opt-in. When true, injects relevant memories before each agent turn. Disabled by default."
+        "default": true,
+        "description": "When true, injects relevant memories before each agent turn. Enabled by default. Ignored in skills mode."
      },
      "customInstructions": {
        "type": "string"
@@ -1,6 +1,6 @@
 {
  "name": "@mem0/openclaw-mem0",
-  "version": "1.0.10",
+  "version": "1.0.11",
  "type": "module",
  "description": "Mem0 memory backend for OpenClaw — platform or self-hosted open-source",
  "license": "Apache-2.0",
@@ -35,19 +35,19 @@
  },
  "dependencies": {
    "@sinclair/typebox": "0.34.47",
-    "mem0ai": "3.0.1"
+    "mem0ai": "3.0.2"
  },
  "openclaw": {
    "extensions": [
      "./dist/index.js"
    ],
    "compat": {
-      "pluginApi": ">=2026.3.28",
-      "minGatewayVersion": ">=2026.3.28"
+      "pluginApi": ">=2026.4.24",
+      "minGatewayVersion": ">=2026.4.24"
    },
    "build": {
-      "openclawVersion": "2026.4.1",
-      "pluginSdkVersion": "2026.4.1"
+      "openclawVersion": "2026.4.24",
+      "pluginSdkVersion": "2026.4.24"
    },
    "install": {
      "npmSpec": "@mem0/openclaw-mem0"
@@ -15,8 +15,8 @@ importers:
        specifier: 0.34.47
        version: 0.34.47
      mem0ai:
-        specifier: 3.0.1
-        version: 3.0.1(@anthropic-ai/sdk@0.40.1)(@azure/identity@4.13.0)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260313.1)(@google/genai@1.45.0)(@langchain/core@0.3.80(openai@4.104.0(ws@8.19.0)(zod@3.25.76)))(@mistralai/mistralai@1.15.1)(@qdrant/js-client-rest@1.13.0(typescript@5.9.3))(@supabase/supabase-js@2.99.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.8.0)(cloudflare@4.5.0)(compromise@14.15.0)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.20.0)(redis@5.12.1)(ws@8.19.0)
+        specifier: 3.0.2
+        version: 3.0.2(@anthropic-ai/sdk@0.40.1)(@azure/identity@4.13.0)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260313.1)(@google/genai@1.45.0)(@langchain/core@0.3.80(openai@4.104.0(ws@8.19.0)(zod@3.25.76)))(@mistralai/mistralai@1.15.1)(@qdrant/js-client-rest@1.13.0(typescript@5.9.3))(@supabase/supabase-js@2.99.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.8.0)(cloudflare@4.5.0)(compromise@14.15.0)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.20.0)(redis@5.12.1)(ws@8.19.0)
    devDependencies:
      '@types/node':
        specifier: ^22.15.0
@@ -1508,8 +1508,8 @@ packages:
  md5@2.3.0:
    resolution: {integrity: sha512-T1GITYmFaKuO91vxyoQMFETst+O71VUPEU3ze5GNzDm0OWdP8v1ziTaAEPUr/3kLsY3Sftgz242A1SetQiDL7g==}

-  mem0ai@3.0.1:
-    resolution: {integrity: sha512-6phM544/3NRcCg7n5DBNRc9uUEMqGTe7sksULM2KM/FTihH27yTl5nPms8cnNpSKM5/ZKJ9jnkpzwGlvYYbtBQ==}
+  mem0ai@3.0.2:
+    resolution: {integrity: sha512-smB9q27jrJu2D5WZje65+zMVptdS/WsqALxd2kjiZhEpThd/qkS8T3bumatcTu6Zb+LsT28FRpeWjXGTJjyQXQ==}
    engines: {node: '>=18'}
    peerDependencies:
      '@anthropic-ai/sdk': ^0.40.1
@@ -3690,7 +3690,7 @@ snapshots:
      crypt: 0.0.2
      is-buffer: 1.1.6

-  mem0ai@3.0.1(@anthropic-ai/sdk@0.40.1)(@azure/identity@4.13.0)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260313.1)(@google/genai@1.45.0)(@langchain/core@0.3.80(openai@4.104.0(ws@8.19.0)(zod@3.25.76)))(@mistralai/mistralai@1.15.1)(@qdrant/js-client-rest@1.13.0(typescript@5.9.3))(@supabase/supabase-js@2.99.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.8.0)(cloudflare@4.5.0)(compromise@14.15.0)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.20.0)(redis@5.12.1)(ws@8.19.0):
+  mem0ai@3.0.2(@anthropic-ai/sdk@0.40.1)(@azure/identity@4.13.0)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260313.1)(@google/genai@1.45.0)(@langchain/core@0.3.80(openai@4.104.0(ws@8.19.0)(zod@3.25.76)))(@mistralai/mistralai@1.15.1)(@qdrant/js-client-rest@1.13.0(typescript@5.9.3))(@supabase/supabase-js@2.99.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.8.0)(cloudflare@4.5.0)(compromise@14.15.0)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.20.0)(redis@5.12.1)(ws@8.19.0):
    dependencies:
      '@anthropic-ai/sdk': 0.40.1
      '@azure/identity': 4.13.0
@@ -280,13 +280,29 @@ class OSSProvider implements Mem0Provider {
      config.llm = defaultLlm;
    }

-    if (this.ossConfig?.vectorStore)
-      config.vectorStore = { ...this.ossConfig.vectorStore };
+    if (this.ossConfig?.vectorStore) {
+      const vs = { ...this.ossConfig.vectorStore } as Record<string, unknown>;
+      const vsCfg = (vs.config ?? {}) as Record<string, unknown>;
+      // Resolve dims from embedder config if vector store doesn't have them
+      const embedderDims = (config.embedder as any)?.config?.embeddingDims;
+      if (!vsCfg.dimension && embedderDims) {
+        vsCfg.dimension = embedderDims;
+      }
+      // Sync both dimension fields — Qdrant reads dimension, PGVector reads embeddingModelDims
+      if (vsCfg.dimension && !vsCfg.embeddingModelDims) {
+        vsCfg.embeddingModelDims = vsCfg.dimension;
+      } else if (vsCfg.embeddingModelDims && !vsCfg.dimension) {
+        vsCfg.dimension = vsCfg.embeddingModelDims;
+      }
+      vs.config = vsCfg;
+      config.vectorStore = vs;
+    }

    if (this.ossConfig?.historyDbPath) {
-      const dbPath = this.resolvePath
-        ? this.resolvePath(this.ossConfig.historyDbPath)
-        : this.ossConfig.historyDbPath;
+      const raw = this.ossConfig.historyDbPath;
+      const isAbsolute = raw.startsWith("/") || /^[A-Za-z]:[/\\]/.test(raw);
+      const dbPath =
+        isAbsolute || !this.resolvePath ? raw : this.resolvePath(raw);
      config.historyDbPath = dbPath;
    }

@@ -14,6 +14,49 @@ metadata:

 You are performing a memory consolidation pass. Your goal is to review all stored memories for this user and improve their overall quality. Think of this as compressing raw observations into clean, durable knowledge.

+## Available Tools
+
+### memory_search
+Semantic search across stored memories.
+- `query` (required): search query
+- `limit`: max results
+- `userId`, `agentId`: scope overrides
+- `scope`: `"all"` (default), `"session"`, or `"long-term"`
+- `categories`: filter by category array
+
+### memory_add
+Store new facts in long-term memory.
+- `facts` (required): array of facts — ALL must share the same category
+- `category`: `"identity"`, `"preference"`, `"decision"`, `"rule"`, `"project"`, `"configuration"`, `"technical"`, `"relationship"`
+- `importance`: 0.0–1.0
+
+### memory_get
+Retrieve a single memory by ID.
+- `memoryId` (required): the memory ID
+
+### memory_list
+List all stored memories for a user or agent.
+- `userId`, `agentId`: scope overrides
+- `scope`: `"all"` (default), `"session"`, or `"long-term"`
+
+### memory_update
+Update an existing memory's text in place. Atomic and preserves edit history.
+- `memoryId` (required): the memory ID to update
+- `text` (required): the new text (replaces old)
+
+### memory_delete
+Delete memories by ID, query, or bulk.
+- `memoryId`: specific memory ID to delete
+- `all`: delete ALL memories (requires `confirm: true`)
+- `userId`, `agentId`: scope overrides
+
+### memory_event_list
+List recent background processing events (platform mode only).
+
+### memory_event_status
+Get status of a specific background event.
+- `event_id` (required): the event ID to check
+
 Follow these four phases in order. Do not skip phases.

 ## Phase 1: Orient
@@ -18,6 +18,56 @@ Your primary role is to extract relevant pieces of information from the conversa

 **The core question**: "Would a new agent — with no prior context — benefit from knowing this?" If no → do nothing. Most turns produce zero memory operations. That is correct and expected.

+## Available Tools
+
+### memory_search
+Semantic search across stored memories.
+- `query` (required): search query
+- `limit`: max results (default: configured topK)
+- `userId`, `agentId`: scope overrides
+- `scope`: `"all"` (default), `"session"`, or `"long-term"`
+- `categories`: filter by category array
+- `filters`: advanced filter object
+
+### memory_add
+Store new facts in long-term memory.
+- `facts` (required): array of facts to store — ALL must share the same category
+- `text`: alternative single-fact string
+- `category`: `"identity"`, `"preference"`, `"decision"`, `"rule"`, `"project"`, `"configuration"`, `"technical"`, `"relationship"`
+- `importance`: 0.0–1.0 (omit for category default)
+- `userId`, `agentId`: scope overrides
+- `metadata`: additional key-value metadata
+- `longTerm`: true (default) for persistent, false for session-scoped
+
+### memory_get
+Retrieve a single memory by ID.
+- `memoryId` (required): the memory ID
+
+### memory_list
+List all stored memories for a user or agent.
+- `userId`, `agentId`: scope overrides
+- `scope`: `"all"` (default), `"session"`, or `"long-term"`
+
+### memory_update
+Update an existing memory's text in place. Atomic and preserves edit history.
+- `memoryId` (required): the memory ID to update
+- `text` (required): the new text (replaces old)
+
+### memory_delete
+Delete memories by ID, query, or bulk.
+- `memoryId`: specific memory ID to delete
+- `query`: search query to find and delete matching memories
+- `all`: delete ALL memories (requires `confirm: true`)
+- `confirm`: safety gate for bulk operations
+- `userId`, `agentId`: scope overrides
+
+### memory_event_list
+List recent background processing events (platform mode only).
+
+### memory_event_status
+Get status of a specific background event.
+- `event_id` (required): the event ID to check
+
 ## Decision Gate

 Every candidate fact must pass ALL four gates:
@@ -28,7 +78,7 @@ Every candidate fact must pass ALL four gates:

 **Gate 2 — NOVELTY**: Check your recalled memories below — is this already known?
  - Already known and unchanged → SKIP
-  - Known but materially changed → UPDATE (find old → forget → store new)
+  - Known but materially changed → UPDATE (find old → update in place)
  - Genuinely new → proceed
  - **Material difference test**: Only UPDATE if new information adds real context, details, or changes meaning. Cosmetic differences (synonyms, rephrasing, punctuation) are NOT updates. "Loves daily walks" vs "enjoys daily walks" = no material change = SKIP.

@@ -196,8 +246,9 @@ Categories: `identity`, `configuration`, `rule`, `preference`, `decision`, `tech

 When a recalled memory needs updating (fact changed, status changed, new detail added):
 1. `memory_search` to find the existing memory
-2. `memory_delete` on the old memory's ID
-3. `memory_add` with the corrected/expanded fact
+2. `memory_update` on the memory's ID with the corrected/expanded text
+
+`memory_update` is preferred over delete+add because it is **atomic and preserves edit history**.

 **Choose the MORE COMPLETE version.** When both old and new have unique context, COMBINE them into a unified memory using the user's stated words.

@@ -206,10 +257,10 @@ When a recalled memory needs updating (fact changed, status changed, new detail
  - "User likes Python" → "User enjoys Python" = NOT material = SKIP
  - When both have unique context, combine: Old "Trip to Paris in September with Jack" + New "User can't wait to visit Eiffel Tower" → "Trip to Paris in September 2025 with friend Jack, user says they can't wait to visit the Eiffel Tower and try authentic French pastries"

-**Consolidation**: When a rich new fact encompasses multiple existing memories, update one to the comprehensive version and forget the others.
+**Consolidation**: When a rich new fact encompasses multiple existing memories, `memory_update` the best one to the comprehensive version and `memory_delete` the rest.
  - Old: "User has a dog" + "Dog's name is Poppy" + "User walks dog daily"
  - New: "User has a dog named Poppy and says taking him for walks is the best part of their day"
-  - Action: forget all three old memories, store one consolidated memory
+  - Action: `memory_update` the best version with consolidated text, `memory_delete` the redundant ones

 **Temporary vs permanent changes**: A temporary constraint (e.g., injury pausing a hobby) does NOT contradict the underlying preference. Store the constraint as a new memory; don't delete the preference.
  - Old: "User enjoys hiking on weekends"
@@ -267,8 +318,7 @@ User: "Never use Docker for local dev, it ate 40GB of disk last time and my Mac
 Recalled: ["As of 2026-03-15, user is planning trip to Paris in September with friend Jack"]
 User: "Can't wait for the Paris trip, definitely want to hit the Eiffel Tower and try authentic French pastries"
 → memory_search("Paris trip planning")
-→ memory_delete(memoryId: "mem-id-of-old")
-→ memory_add(facts: ["As of 2026-03-30, user is planning trip to Paris in September 2025 with friend Jack, says they can't wait to visit the Eiffel Tower and try authentic French pastries"], category: "project")
+→ memory_update(memoryId: "mem-id-of-old", text: "As of 2026-03-30, user is planning trip to Paris in September 2025 with friend Jack, says they can't wait to visit the Eiffel Tower and try authentic French pastries")
 ```

 ### Example 6: Outcome over intent
@@ -327,8 +377,8 @@ Agent: "Hello! How can I help?"
 Recalled: ["User has a dog", "Dog's name is Poppy", "User walks dog daily"]
 User: "Poppy learned fetch! Our walks are even better now, honestly it's the best part of my day"
 → memory_search("dog Poppy walks") → find all three old memory IDs
-→ memory_delete(memoryId: "id-1"), memory_delete(memoryId: "id-2"), memory_delete(memoryId: "id-3")
-→ memory_add(facts: ["User has a dog named Poppy and says taking him for walks is the best part of their day. Poppy recently learned fetch, making walks more enjoyable."], category: "preference")
+→ memory_update(memoryId: "id-1", text: "User has a dog named Poppy and says taking him for walks is the best part of their day. Poppy recently learned fetch, making walks more enjoyable.")
+→ memory_delete(memoryId: "id-2"), memory_delete(memoryId: "id-3")
 ```

 ### Example 12: NOOP — generic greeting, nothing to store
@@ -443,7 +443,7 @@ describe("OSSProvider — _buildConfig branch coverage", () => {
      config: expect.objectContaining({ model: "gpt-4", apiKey: "sk-l" }),
    });
    expect(capturedConfig!.vectorStore).toEqual({ provider: "qdrant", config: { host: "localhost", port: 6333 } });
-    expect(capturedConfig!.historyDbPath).toBe("/resolved/tmp/history.db");
+    expect(capturedConfig!.historyDbPath).toBe("/tmp/history.db");
    expect(capturedConfig!.disableHistory).toBe(true);
  });

@@ -732,4 +732,58 @@ describe("OSSProvider — customInstructions passthrough", () => {
    expect(capturedConfig).toBeDefined();
    expect(capturedConfig!.customInstructions).toBe("Extract only user preferences.");
  });
+
+  it("preserves absolute Unix historyDbPath without resolvePath mangling", async () => {
+    const { createProvider } = await import("./index.ts");
+    const cfg = mem0ConfigSchema.parse({
+      mode: "open-source",
+      oss: {
+        historyDbPath: "/home/user/.myapp/history.db",
+        disableHistory: true,
+      },
+    });
+    const api = { resolvePath: (p: string) => `/stateDir/${p}` } as any;
+    const provider = createProvider(cfg, api);
+
+    await provider.search("test", { user_id: "u1" });
+
+    expect(capturedConfig).toBeDefined();
+    expect(capturedConfig!.historyDbPath).toBe("/home/user/.myapp/history.db");
+  });
+
+  it("preserves absolute Windows historyDbPath without resolvePath mangling", async () => {
+    const { createProvider } = await import("./index.ts");
+    const cfg = mem0ConfigSchema.parse({
+      mode: "open-source",
+      oss: {
+        historyDbPath: "C:\\Users\\me\\history.db",
+        disableHistory: true,
+      },
+    });
+    const api = { resolvePath: (p: string) => `/stateDir/${p}` } as any;
+    const provider = createProvider(cfg, api);
+
+    await provider.search("test", { user_id: "u1" });
+
+    expect(capturedConfig).toBeDefined();
+    expect(capturedConfig!.historyDbPath).toBe("C:\\Users\\me\\history.db");
+  });
+
+  it("still resolves relative historyDbPath via resolvePath", async () => {
+    const { createProvider } = await import("./index.ts");
+    const cfg = mem0ConfigSchema.parse({
+      mode: "open-source",
+      oss: {
+        historyDbPath: "data/history.db",
+        disableHistory: true,
+      },
+    });
+    const api = { resolvePath: (p: string) => `/resolved/${p}` } as any;
+    const provider = createProvider(cfg, api);
+
+    await provider.search("test", { user_id: "u1" });
+
+    expect(capturedConfig).toBeDefined();
+    expect(capturedConfig!.historyDbPath).toBe("/resolved/data/history.db");
+  });
 });
@@ -16,6 +16,7 @@ vi.mock("../cli/config-file.ts", () => ({
  readPluginAuth: vi.fn().mockReturnValue({}),
  writePluginAuth: vi.fn(),
  writePluginConfigField: vi.fn(),
+  enableSkillsConfig: vi.fn(),
  getBaseUrl: vi.fn().mockReturnValue("https://api.mem0.ai"),
  OPENCLAW_CONFIG_FILE: "/mock/.openclaw/openclaw.json",
 }));
@@ -42,6 +43,7 @@ import {
  readPluginAuth,
  writePluginAuth,
  writePluginConfigField,
+  enableSkillsConfig,
  getBaseUrl,
 } from "../cli/config-file.ts";
 import { loadDreamPrompt } from "../skill-loader.ts";
@@ -178,7 +180,7 @@ function createMockCfg() {
    topK: 5,
    autoCapture: true,
    autoRecall: true,
-    searchThreshold: 0.5,
+    searchThreshold: 0.1,
    customInstructions: "",
    customCategories: {},
    skills: {},
@@ -44,14 +44,14 @@ describe("mem0ConfigSchema.parse() — defaults", () => {
    expect(cfg.userId.length).toBeGreaterThan(0);
  });

-  it("autoCapture defaults to false", () => {
+  it("autoCapture defaults to true", () => {
    const cfg = mem0ConfigSchema.parse({ apiKey: "test-key" });
-    expect(cfg.autoCapture).toBe(false);
+    expect(cfg.autoCapture).toBe(true);
  });

-  it("autoRecall defaults to false", () => {
+  it("autoRecall defaults to true", () => {
    const cfg = mem0ConfigSchema.parse({ apiKey: "test-key" });
-    expect(cfg.autoRecall).toBe(false);
+    expect(cfg.autoRecall).toBe(true);
  });

  it("topK defaults to 5", () => {
@@ -59,9 +59,9 @@ describe("mem0ConfigSchema.parse() — defaults", () => {
    expect(cfg.topK).toBe(5);
  });

-  it("searchThreshold defaults to 0.5", () => {
+  it("searchThreshold defaults to 0.1", () => {
    const cfg = mem0ConfigSchema.parse({ apiKey: "test-key" });
-    expect(cfg.searchThreshold).toBe(0.5);
+    expect(cfg.searchThreshold).toBe(0.1);
  });

  it("customInstructions defaults to DEFAULT_CUSTOM_INSTRUCTIONS", () => {
@@ -7,6 +7,7 @@ import {
  buildOssLlmConfig,
  buildOssEmbedderConfig,
  buildOssVectorConfig,
+  collectionNameForDims,
  validateOssFlags,
  checkQdrantConnectivity,
  checkOllamaConnectivity,
@@ -90,9 +91,9 @@ describe("buildOssEmbedderConfig", () => {
    expect(result.dims).toBe(768);
  });

-  it("returns unknown dims for custom model", () => {
+  it("falls back to provider default dims for custom model", () => {
    const result = buildOssEmbedderConfig("ollama", { model: "custom-embed" });
-    expect(result.dims).toBeUndefined();
+    expect(result.dims).toBe(768);
  });
 });

@@ -147,6 +148,49 @@ describe("buildOssVectorConfig", () => {
  });
 });

+describe("collectionNameForDims", () => {
+  it("generates dimension-based collection name", () => {
+    expect(collectionNameForDims(1536)).toBe("mem0_1536d");
+    expect(collectionNameForDims(768)).toBe("mem0_768d");
+    expect(collectionNameForDims(384)).toBe("mem0_384d");
+  });
+});
+
+describe("buildOssVectorConfig dimension safety", () => {
+  it("sets both dimension and embeddingModelDims when dims provided", () => {
+    const result = buildOssVectorConfig("qdrant", { dims: 768 });
+    expect(result.config.dimension).toBe(768);
+    expect(result.config.embeddingModelDims).toBe(768);
+  });
+
+  it("sets collectionName based on dims", () => {
+    const result = buildOssVectorConfig("qdrant", { dims: 768 });
+    expect(result.config.collectionName).toBe("mem0_768d");
+  });
+
+  it("uses different collection names for different dims", () => {
+    const r1 = buildOssVectorConfig("qdrant", { dims: 1536 });
+    const r2 = buildOssVectorConfig("qdrant", { dims: 768 });
+    expect(r1.config.collectionName).not.toBe(r2.config.collectionName);
+  });
+
+  it("omits dimension fields when dims not provided", () => {
+    const result = buildOssVectorConfig("qdrant", {});
+    expect(result.config.dimension).toBeUndefined();
+    expect(result.config.embeddingModelDims).toBeUndefined();
+    expect(result.config.collectionName).toBeUndefined();
+  });
+
+  it("works with pgvector too", () => {
+    const result = buildOssVectorConfig("pgvector", {
+      host: "localhost", port: "5432", user: "me", password: "pw", dbname: "test", dims: 768,
+    });
+    expect(result.config.dimension).toBe(768);
+    expect(result.config.embeddingModelDims).toBe(768);
+    expect(result.config.collectionName).toBe("mem0_768d");
+  });
+});
+
 describe("checkQdrantConnectivity", () => {
  it("returns error for unreachable host", async () => {
    const result = await checkQdrantConnectivity("http://localhost:19999");
@@ -34,7 +34,7 @@ function createMockToolDeps(overrides = {}): ToolDeps {
      topK: 5,
      autoCapture: true,
      autoRecall: true,
-      searchThreshold: 0.5,
+      searchThreshold: 0.1,
      customInstructions: "test",
      customCategories: {},
    } as any,
@@ -8,7 +8,8 @@ export default defineConfig({
  dts: true,
  sourcemap: true,
  clean: true,
-  external: [/^node:/, /^openclaw\//, "fs", "os", "path", "url", "readline", "module"],
+  external: [/^node:/, /^openclaw\//, "fs", "os", "path", "url", "readline", "module",
+             "mem0ai", /^mem0ai\//, "better-sqlite3", "@sinclair/typebox"],
  define: {
    __OPENCLAW_PLUGIN_VERSION__: JSON.stringify(pkg.version),
  },