Clean up release highlights copy and removing emdash from the docs (#5984)

This commit is contained in:
Kartik
2026-06-29 21:27:53 +05:30
committed by GitHub
parent 754034abbc
commit b2ff3aeda5
73 changed files with 572 additions and 557 deletions
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@@ -4,16 +4,31 @@ description: "Major product launches, headline features, and milestones for Mem0
mode: "wide"
---
<Update label="2026-06-27" description="SDK memory expiration and TypeScript provider updates">
**SDK Memory Expiration: Expiring Memories Across Python and TypeScript**
The latest SDK releases add first-class expiration controls to memory writes, updates, and reads, plus new TypeScript provider coverage for production deployments.
- **Python client updates:** `MemoryClient.update()` and `AsyncMemoryClient.update()` now accept `expiration_date`, including `None` to clear an existing expiration.
- **TypeScript client updates:** `AddMemoryOptions`, `update()`, and `Memory` now support `expirationDate`; `search()` and `getAll()` can include expired memories with `showExpired`.
- **New TypeScript LLM providers:** `MiniMaxLLM` and `LiteLLM` are now available for OpenAI-compatible MiniMax and LiteLLM proxy deployments.
- **PGVector deployment flexibility:** TypeScript PGVector config now supports `connectionString` and `ssl`, so apps can use a managed Postgres URI instead of separate connection fields.
See [SDK & Tools](/changelog/sdk) for version details and PR links.
</Update>
<Update label="2026-05-13" description="Temporal Reasoning for Mem0 Platform v3">
**Temporal Reasoning — Time-Aware Retrieval for Platform v3**
**Temporal Reasoning: Time-Aware Retrieval for Platform v3**
Mem0 Platform v3 can now interpret time-aware memories and queries so assistants retrieve the right information for questions about the past, upcoming plans, and current state.
- **Time-aware search intent** — Queries like `last week`, `upcoming`, `right now`, and `as of March 2025` return contextually appropriate results automatically
- **Enabled by default** — No per-request toggle required for v3 writes or searches
- **Anchored relative queries** — `reference_date` anchors relative search phrases for tests, backfills, and reproducible demos
- **Normal response shape** — Temporal reasoning affects ranking while preserving existing client response patterns
- **Search intent parsing:** Queries like `last week`, `upcoming`, `right now`, and `as of March 2025` now resolve against memory timestamps automatically.
- **Default v3 behavior:** No per-request toggle is needed for v3 writes or searches.
- **Deterministic testing:** Pass `reference_date` to anchor relative phrases in tests, backfills, and demos.
- **Stable API shape:** Temporal reasoning changes ranking, not the client response contract.
See [Temporal Reasoning](/platform/features/temporal-reasoning) for usage details.
@@ -21,11 +36,11 @@ See [Temporal Reasoning](/platform/features/temporal-reasoning) for usage detail
<Update label="2026-05-08" description="Memory Decay">
**Memory Decay — Recently-Used Memories Surface Higher, Automatically**
**Memory Decay: Recently-Used Memories Surface Higher**
Per-project search-time ranking bias that boosts recently-touched memories and gently dampens stale ones. Off by default; opt in per project via the `decay` field on the project endpoint, or via `client.project.update(decay=True)` in the SDKs (Python `v2.0.2` / TypeScript `v3.0.3`).
- **Soft bias, never a filter.** The scaling factor stays in `0.3×–1.5×`. Decay can reorder candidates but never zeros them out — anything that surfaced before decay can still surface after.
- **Soft bias, never a filter.** The scaling factor stays in `0.3×–1.5×`. Decay can reorder candidates but never removes them; anything that surfaced before decay can still surface after.
- **Reinforcement loop.** Every memory returned in a search has its access history updated, so frequently-used facts naturally float to the top over time.
- **Public score still clamped to `[0, 1]`.** Existing API contract preserved; no client-side changes needed.
- **v3 search only**, fully reversible. See [Memory Decay docs](/platform/features/memory-decay).
@@ -34,18 +49,18 @@ Per-project search-time ranking bias that boosts recently-touched memories and g
<Update label="2026-04-14" description="Mem0 SDK v2.0.0 / v3.0.0">
**New Memory Algorithm — State-of-the-Art Accuracy at ~3-4x Lower Cost**
**New Memory Algorithm: State-of-the-Art Accuracy at ~3-4x Lower Cost**
Ground-up rewrite of the memory pipeline with 20+ point benchmark improvements:
- **LoCoMo:** 71.4 → **91.6** (+20) — multi-turn conversation recall
- **LongMemEval:** 67.8 → **93.4** (+26) — long-term memory across sessions
- **BEAM (1M tokens):** **64.1** — production-scale memory evaluation
- **Agent memories are first-class** — Previous algorithm: 46% on assistant recall. New: **100%**
- **Temporal reasoning works** — "Where did I live before SF?" Previous: 51%. New: **93%**
- **~3-4x fewer tokens** — Under 7K tokens per retrieval vs 25K+ for full-context approaches
- **ADD-only extraction** — Memories accumulate; nothing is overwritten or deleted
- **Hybrid retrieval** — Semantic + BM25 keyword + entity boost, scored in parallel
- **LoCoMo:** 71.4 → **91.6** (+20) for multi-turn conversation recall.
- **LongMemEval:** 67.8 → **93.4** (+26) for long-term memory across sessions.
- **BEAM (1M tokens):** **64.1** on production-scale memory evaluation.
- **Agent memories:** Assistant recall moves from 46% to **100%**.
- **Temporal reasoning:** "Where did I live before SF?" improves from 51% to **93%**.
- **Lower token use:** Retrieval stays under 7K tokens versus 25K+ for full-context approaches.
- **ADD-only extraction:** Memories accumulate; nothing is overwritten or deleted.
- **Hybrid retrieval:** Semantic search, BM25 keyword search, and entity boost are scored in parallel.
- **Graph memory (built-in)**: entities extracted, embedded, and linked across memories, with no external graph store required
Breaking changes: external graph stores removed from OSS (replaced by built-in graph memory), `search()` defaults changed, deprecated params removed. See [migration guide](/migration/oss-v2-to-v3).
@@ -54,42 +69,42 @@ Breaking changes: external graph stores removed from OSS (replaced by built-in g
<Update label="2026-04-06" description="Mem0 Skill Graph">
**Mem0 Skill Graph — In-Context Documentation for AI Agents**
**Mem0 Skill Graph: In-Context Documentation for AI Agents**
AI coding agents in Claude Code, Cursor, and Codex can now access Mem0 knowledge directly in their workflow — no doc searching required. Three interconnected skills launched:
AI coding agents in Claude Code, Cursor, and Codex can now access Mem0 knowledge directly in their workflow without leaving the editor. Three interconnected skills launched:
- **mem0 Core Skill** — Complete Python and TypeScript SDK reference, REST API patterns, and integration guides for LangChain, CrewAI, Autogen, and more
- **mem0-cli Skill** — Terminal command reference, configuration walkthroughs, and CI/CD recipes
- **mem0-vercel-ai-sdk Skill** — Vercel AI SDK provider API, memory-augmented generation patterns, and multi-provider setup
- **mem0 Core Skill:** Python and TypeScript SDK reference, REST API patterns, and integration guides for LangChain, CrewAI, Autogen, and more.
- **mem0-cli Skill:** Terminal command reference, configuration walkthroughs, and CI/CD recipes.
- **mem0-vercel-ai-sdk Skill:** Vercel AI SDK provider API, memory-augmented generation patterns, and multi-provider setup.
</Update>
<Update label="2026-04-06" description="Mem0 CLI v0.2.2">
**Official Mem0 CLI — Now on PyPI and npm**
**Official Mem0 CLI: Now on PyPI and npm**
A full-featured command-line interface for Mem0, available in both Python and Node.js:
- **Install:** `pip install mem0-cli` or `npm install -g @mem0/cli`
- **Full command suite** — `add`, `search`, `list`, `get`, `update`, `delete`, `import`, `config`, `init`, `status`, `entity`, `event`
- **Interactive setup** — `mem0 init` with email verification or direct API key entry
- **Works everywhere** — Platform (Mem0 Cloud) and self-hosted OSS modes
- **Scriptable** — `--json` flag for CI/CD pipelines and automation
- **Dual SDK** — Same commands, same experience across Python and Node.js
- **Full command suite:** `add`, `search`, `list`, `get`, `update`, `delete`, `import`, `config`, `init`, `status`, `entity`, `event`.
- **Interactive setup:** `mem0 init` supports email verification and direct API key entry.
- **Runtime coverage:** Works with Mem0 Platform and self-hosted OSS modes.
- **Automation support:** Use `--json` for CI/CD pipelines and agent workflows.
- **Dual implementation:** Same commands and behavior across Python and Node.js.
</Update>
<Update label="2026-04-06" description="OpenClaw v1.0.4">
**OpenClaw Plugin — Production-Ready**
**OpenClaw Plugin: Production-Ready**
The OpenClaw Mem0 plugin went from initial release to production-ready in one week (v1.0.0 → v1.0.4):
- **Skills-based memory architecture** — New extraction pipeline with skill-loader, batched extraction, and domain-aware memory triage
- **Dream gate** — Automatic memory consolidation during idle periods for higher-quality long-term recall
- **Interactive CLI** — `openclaw mem0 init`, `status`, `config`, `import`, and `event` commands
- **Unified tool naming** — `memory_add` and `memory_delete` replace 4 legacy tools, matching the platform API
- **Security hardened** — Path traversal protection, pinned dependencies, 329 tests across 10 files
- **Skills-based memory architecture:** New extraction pipeline with skill-loader, batched extraction, and domain-aware memory triage.
- **Dream gate:** Automatic memory consolidation during idle periods for higher-quality long-term recall.
- **Interactive CLI:** `openclaw mem0 init`, `status`, `config`, `import`, and `event` commands.
- **Unified tool naming:** `memory_add` and `memory_delete` replace four legacy tools and match the platform API.
- **Security hardened:** Path traversal protection, pinned dependencies, and 329 tests across 10 files.
</Update>
@@ -97,13 +112,13 @@ The OpenClaw Mem0 plugin went from initial release to production-ready in one we
**Mem0 Plugin for Claude Code, Cursor, and Codex**
Launched a unified Mem0 plugin across three major AI development environments — Claude Code and Cursor first (March 25), then Codex (April 2):
Launched a unified Mem0 plugin across three major AI development environments: Claude Code and Cursor first (March 25), then Codex (April 2).
- **9 MCP memory tools** — add, search, get, update, delete, bulk delete, entity management via `mcp.mem0.ai`
- **Lifecycle hooks** — Automatic memory capture at session start, context compaction, task completion, and session end
- **Cloud MCP server** — Managed endpoint replaces local MCP and Smithery setup
- **Streamable HTTP transport** — New MCP transport protocol for real-time streaming
- **Codex-specific skill** — Dedicated skill in `mem0-plugin/skills/mem0-codex` for Codex workflows
- **9 MCP memory tools:** Add, search, get, update, delete, bulk delete, and entity management via `mcp.mem0.ai`.
- **Lifecycle hooks:** Automatic memory capture at session start, context compaction, task completion, and session end.
- **Cloud MCP server:** Managed endpoint replaces local MCP and Smithery setup.
- **Streamable HTTP transport:** New MCP transport protocol for real-time streaming.
- **Codex-specific skill:** Dedicated skill in `mem0-plugin/skills/mem0-codex` for Codex workflows.
</Update>
@@ -113,11 +128,11 @@ Launched a unified Mem0 plugin across three major AI development environments
Major expansion of the provider ecosystem:
- **Apache AGE** — New graph store support, bringing the total to 4 graph store backends (Neo4j, Memgraph, Kuzu, Apache AGE). **Note:** All external graph store backends (Neo4j, Memgraph, Kuzu, Apache AGE) were subsequently removed in v2.0.0 (2026-04-14). Graph memory is now built-in entity linking with no external graph store required; see the [v2.0.0 entry above](#mem0-sdk-v2-0-0-v3-0-0).
- **Turbopuffer** — New vector database provider for Python SDK
- **MiniMax** — New LLM provider with dedicated AWS Bedrock support
- **pgvector for Node.js** — PostgreSQL vector support added to the TypeScript OSS SDK
- **Reasoning models** — `reasoning_effort` parameter for OpenAI o1/o3-style models
- **Apache AGE:** New graph store support, bringing the total to 4 graph store backends (Neo4j, Memgraph, Kuzu, Apache AGE). **Note:** All external graph store backends (Neo4j, Memgraph, Kuzu, Apache AGE) were subsequently removed in v2.0.0 (2026-04-14). Graph memory is now built-in entity linking with no external graph store required; see the [v2.0.0 entry above](#mem0-sdk-v2-0-0-v3-0-0).
- **Turbopuffer:** New vector database provider for Python SDK.
- **MiniMax:** New LLM provider with dedicated AWS Bedrock support.
- **pgvector for Node.js:** PostgreSQL vector support added to the TypeScript OSS SDK.
- **Reasoning models:** `reasoning_effort` parameter for OpenAI o1/o3-style models.
</Update>
@@ -125,6 +140,6 @@ Major expansion of the provider ecosystem:
**Mem0 Platform Skill on skills.sh**
First skill launch — a dedicated Mem0 skill providing platform API reference, quickstart patterns, and integration examples directly inside agent sessions. Available on [skills.sh](https://skills.sh) for any compatible AI coding agent.
First skill launch: a dedicated Mem0 skill providing platform API reference, quickstart patterns, and integration examples directly inside agent sessions. Available on [skills.sh](https://skills.sh) for any compatible AI coding agent.
</Update>
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@@ -7,11 +7,11 @@ mode: "wide"
<Update label="2026-06-12" description="v1.0.13">
**Fixes:**
- **Custom categories payload:** `customCategories` (a `Record<string, string>` map) is now converted via the new `customCategoryMapToList()` helper into the `Array<Record<string, string>>` shape the Mem0 SDK expects on `add` calls — previously the raw object was passed as `custom_categories` and silently ignored ([#5345](https://github.com/mem0ai/mem0/pull/5345))
- **Skip runtime setup during metadata registration:** `register()` now detects `registrationMode === "cli-metadata"`, registers only the CLI commands, and returns early — avoiding backend initialization, service/tool registration, and hook installation during OpenClaw's metadata-only registration pass ([#5383](https://github.com/mem0ai/mem0/pull/5383))
- **Custom categories payload:** `customCategories` (a `Record<string, string>` map) is now converted via the new `customCategoryMapToList()` helper into the `Array<Record<string, string>>` shape the Mem0 SDK expects on `add` calls: previously the raw object was passed as `custom_categories` and silently ignored ([#5345](https://github.com/mem0ai/mem0/pull/5345))
- **Skip runtime setup during metadata registration:** `register()` now detects `registrationMode === "cli-metadata"`, registers only the CLI commands, and returns early: avoiding backend initialization, service/tool registration, and hook installation during OpenClaw's metadata-only registration pass ([#5383](https://github.com/mem0ai/mem0/pull/5383))
**Security:**
- Bumped `mem0ai` from `3.0.3` to `3.0.7` (latest Node SDK) — includes the transitive axios CVE remediation shipped in `3.0.6` ([#5460](https://github.com/mem0ai/mem0/pull/5460))
- Bumped `mem0ai` from `3.0.3` to `3.0.7` (latest Node SDK): includes the transitive axios CVE remediation shipped in `3.0.6` ([#5460](https://github.com/mem0ai/mem0/pull/5460))
- Added pnpm override `uuid@<11.1.1` → `>=11.1.1` to resolve an open MEDIUM Dependabot alert ([#5489](https://github.com/mem0ai/mem0/pull/5489))
**Improvements:**
@@ -26,7 +26,7 @@ mode: "wide"
<Update label="2026-06-02" description="v1.0.12">
**Docs:**
- **Agent Mode onboarding:** README now documents an autonomous setup path for AI agents — `mem0 init --agent --json` mints an evaluation Mem0 API key with no email, OTP, or browser and exports it as `MEM0_API_KEY` for `openclaw mem0 init`; a human owner can later run `mem0 init --email <email>` to claim ownership without disrupting the agent ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Agent Mode onboarding:** README now documents an autonomous setup path for AI agents: `mem0 init --agent --json` mints an evaluation Mem0 API key with no email, OTP, or browser and exports it as `MEM0_API_KEY` for `openclaw mem0 init`; a human owner can later run `mem0 init --email <email>` to claim ownership without disrupting the agent ([#5123](https://github.com/mem0ai/mem0/pull/5123))
**Security:**
- Added pnpm overrides to remediate advisories in transitive dependencies: `langsmith@<0.6.0` → `^0.6.0`, `picomatch@<2.3.2` → `^2.3.2`, `vite` → `^8.0.5`, and `@qdrant/js-client-rest` → `^1.18.0` ([#5294](https://github.com/mem0ai/mem0/pull/5294))
@@ -40,15 +40,15 @@ mode: "wide"
<Update label="2026-04-29" description="v1.0.11">
**New Features:**
- **Skills-mode auto-setup:** `enableSkillsConfig()` now runs automatically after onboarding — enables triage, recall (with reranking + keyword search), and dream consolidation with `tools.profile = "full"` and disables the built-in session-memory hook to avoid conflicts
- **Skills-mode auto-setup:** `enableSkillsConfig()` now runs automatically after onboarding: enables triage, recall (with reranking + keyword search), and dream consolidation with `tools.profile = "full"` and disables the built-in session-memory hook to avoid conflicts
- **Memory runtime capability:** Plugin now exposes `runtime.getMemorySearchManager()` and `resolveMemoryBackendConfig()` on the registered memory capability, enabling OpenClaw gateway to query memory status and backend config directly
- **Dimension-aware collections:** OSS wizard detects embedder dimension changes and creates a new collection (`mem0_<dims>d`) automatically, with a warning about old memories being inaccessible under the new embedder
- **Tool documentation in skills:** Both `memory-triage` and `memory-dream` SKILL.md files now include full tool reference sections listing all available tools with parameters
**Improvements:**
- **Auto-capture and auto-recall default to enabled:** `autoCapture` and `autoRecall` now default to `true` (was `false`). Manifest descriptions updated accordingly. Ignored in skills mode
- **`memory_update` over delete+add:** Skills now prefer `memory_update` for in-place edits — atomic and preserves edit history. Consolidation pattern updated: update best memory, delete redundant ones
- **Search threshold lowered:** Default `searchThreshold` reduced from `0.5` to `0.1` for broader recall. Removed hardcoded `0.6` recall-specific override — all searches now use the configured threshold
- **`memory_update` over delete+add:** Skills now prefer `memory_update` for in-place edits: atomic and preserves edit history. Consolidation pattern updated: update best memory, delete redundant ones
- **Search threshold lowered:** Default `searchThreshold` reduced from `0.5` to `0.1` for broader recall. Removed hardcoded `0.6` recall-specific override: all searches now use the configured threshold
- **Embedder dimension propagation:** Vector store config auto-resolves dimensions from embedder config when not explicitly set. Syncs `dimension` and `embeddingModelDims` fields for Qdrant/PGVector compatibility
- **Config file write safety:** `writeFullConfig()` now re-reads and deep-merges the `plugins` section before writing, preserving `installs` and `slots` written by the OpenClaw gateway
- **Additional embedder models:** Added `mxbai-embed-large` (1024), `all-minilm` (384), and `snowflake-arctic-embed` (1024) to known embedder dimensions
@@ -57,7 +57,7 @@ mode: "wide"
- Bumped `protobufjs` to `>=7.5.5` via pnpm overrides (GHSA-xq3m-2v4x-88gg) ([#5012](https://github.com/mem0ai/mem0/pull/5012))
**Fixes:**
- Moved `bootstrapTelemetryFlag()` and removed `ensureInstallRecord()` from module-level side effects — both now run inside `register()` to avoid crashes when loaded outside OpenClaw gateway
- Moved `bootstrapTelemetryFlag()` and removed `ensureInstallRecord()` from module-level side effects: both now run inside `register()` to avoid crashes when loaded outside OpenClaw gateway
- Fixed OSS history DB path resolution: absolute paths no longer passed through `resolvePath()`, preventing double-prefix bugs
- Manifest `providerAuthEnvVars` replaced with spec-compliant `setup.providers` format using `id` + `envVars`
@@ -70,14 +70,14 @@ mode: "wide"
<Update label="2026-04-23" description="v1.0.10">
**Security:**
- Telemetry `distinct_id` now uses SHA-256 instead of MD5 — prevents rainbow-table reversal of API key hashes
- User email is now SHA-256 hashed before sending as `distinct_id` — no PII in telemetry payloads
- Telemetry `distinct_id` now uses SHA-256 instead of MD5: prevents rainbow-table reversal of API key hashes
- User email is now SHA-256 hashed before sending as `distinct_id`: no PII in telemetry payloads
- Declared PostHog telemetry endpoint (`us.i.posthog.com`) in `providerEndpoints`
**Fixes:**
- Fixed version-pinned install records preventing plugin updates. `ensureInstallRecord()` now detects semver-pinned specs (e.g. `@mem0/openclaw-mem0@1.0.7`) and rewrites them to `@latest` or `clawhub:` prefix so `openclaw plugins update` resolves to the newest release
- Fixed `searchThreshold` default inconsistency: standardized to `0.3` across docs, README, and manifest
- `PLUGIN_VERSION` now injected at build time via tsup `define` from `package.json` — no more hardcoded version strings
- `PLUGIN_VERSION` now injected at build time via tsup `define` from `package.json`: no more hardcoded version strings
**Manifest Compliance:**
- Removed non-spec fields: `requiredEnvVars`, `dataLocations`, `privacy`, `setup` (with `externalEndpoints`, `providers`, `requiresRuntime`, `postInstallHint`)
@@ -95,7 +95,7 @@ mode: "wide"
**Security & Compliance:**
- Added top-level `requiredEnvVars` to plugin manifest, declaring env vars per mode (platform, OSS OpenAI, OSS Anthropic, OSS Ollama). Fixes ClaHub scanner "required env vars: none" mismatch
- Added `sensitive: true` and descriptions to `apiKey` and `userEmail` in `configSchema` — previously only declared in `uiHints`
- Added `sensitive: true` and descriptions to `apiKey` and `userEmail` in `configSchema`: previously only declared in `uiHints`
- Added `default: false` with descriptions to `autoCapture` and `autoRecall` in `configSchema` so scanner can confirm opt-in defaults
- Added `dataLocations` field to manifest declaring all persistence paths (config, vectorStore, historyDb, dreamState)
- Added `privacy` field to manifest documenting data flow for platform vs open-source mode and credential storage guidance
@@ -110,7 +110,7 @@ mode: "wide"
<Update label="2026-04-21" description="v1.0.8">
**New Features:**
- **OSS Onboarding Wizard:** New guided 4-step interactive setup for open-source mode — walks through LLM provider, embedding provider, vector store, and user ID selection with prefilled defaults
- **OSS Onboarding Wizard:** New guided 4-step interactive setup for open-source mode: walks through LLM provider, embedding provider, vector store, and user ID selection with prefilled defaults
- **Agent-Friendly CLI:** Added `--json` flag to all 16 CLI commands for machine-readable output. Agents can call `openclaw mem0 help --json` to discover every command and flag
- **Non-Interactive OSS Setup:** Added `--mode open-source` with `--oss-llm`, `--oss-embedder`, `--oss-vector` flags for fully automated OSS configuration without prompts
- **JSON Helpers Module:** New `cli/json-helpers.ts` with `jsonOut`, `jsonErr`, and `redactSecrets` utilities for consistent structured output
@@ -131,7 +131,7 @@ mode: "wide"
<Update label="2026-04-20" description="v1.0.7">
**New Features:**
- **Chat-Based Setup:** Added chat-based Platform setup flow — users can now configure the plugin conversationally instead of editing config files manually
- **Chat-Based Setup:** Added chat-based Platform setup flow: users can now configure the plugin conversationally instead of editing config files manually
- **Installation Docs Rewrite:** Rewrote README and integration docs with chat-first setup, numbered manual steps.
**Improvements:**
@@ -146,7 +146,7 @@ mode: "wide"
**Bug Fixes:**
- **Telemetry:** Replaced shared `"anonymous-openclaw"` fallback with a persistent per-machine random hash (`openclaw-anon-<uuid>`), so anonymous plugin users are counted individually in PostHog ([#4790](https://github.com/mem0ai/mem0/pull/4790))
- **Telemetry:** Added PostHog `$identify` event on first authenticated run to stitch anonymous history onto the authenticated profile ([#4790](https://github.com/mem0ai/mem0/pull/4790))
- **Telemetry:** Fixed event loss on short-lived CLI invocations — added `beforeExit` handler to flush queued events before the process exits ([#4790](https://github.com/mem0ai/mem0/pull/4790))
- **Telemetry:** Fixed event loss on short-lived CLI invocations: added `beforeExit` handler to flush queued events before the process exits ([#4790](https://github.com/mem0ai/mem0/pull/4790))
- **Telemetry:** Added lazy `/v1/ping/` email resolution so users who configure API key outside `mem0 init` show as their email in PostHog, not an md5 hash ([#4790](https://github.com/mem0ai/mem0/pull/4790))
- **Telemetry:** Unified CLI event prefix from `openclaw.<cmd>` to `openclaw.cli.<cmd>` on the needsSetup branch to match the authenticated branch ([#4790](https://github.com/mem0ai/mem0/pull/4790))
@@ -158,12 +158,12 @@ mode: "wide"
<Update label="2026-04-07" description="v1.0.5">
**Bug Fixes:**
- **Init interactive choice bug**: Fixed number selection in `openclaw mem0 init` — entering 1/2/3 now correctly selects the corresponding option (was broken by readline prefill concatenating with user input)
- **Init interactive choice bug**: Fixed number selection in `openclaw mem0 init`: entering 1/2/3 now correctly selects the corresponding option (was broken by readline prefill concatenating with user input)
- **OSS pgvector crash** ([#4727](https://github.com/mem0ai/mem0/issues/4727)): Fixed "Client has already been connected" cascade when using pgvector in OSS mode. The warmup call swallowed errors leaving a half-initialized pg client; concurrent recall/capture then all hit `client.connect()` on the same client. Fix: let warmup errors propagate (so `initPromise` resets and retries with a fresh Memory + fresh pg client) and build fresh config objects per attempt instead of mutating shared state.
**Removed:**
- **`orgId` / `projectId` config parameters**: Removed from config schema, CLI (`config show/get/set`), init display, and providers. The API key is project-scoped, so separate org/project IDs are unnecessary and could cause access errors if mismatched.
- **`enableGraph` config parameter**: Removed from all config surfaces, providers, backend, and tools. Graph memory is being deprecated — removing the flag avoids unnecessary exposure.
- **`enableGraph` config parameter**: Removed from all config surfaces, providers, backend, and tools. Graph memory is being deprecated: removing the flag avoids unnecessary exposure.
</Update>
@@ -171,8 +171,8 @@ mode: "wide"
**New Features:**
- **Interactive init flow**: `openclaw mem0 init` with interactive menu (email verification or direct API key). Non-interactive modes: `--api-key`, `--email`, `--email --code`
- **`memory_add` tool**: Replaces `memory_store` — name now matches `mem0` CLI and platform API
- **`memory_delete` tool**: Unified delete — single ID, search-then-delete, bulk, entity cascade. Replaces `memory_forget` and `memory_delete_all`
- **`memory_add` tool**: Replaces `memory_store`: name now matches `mem0` CLI and platform API
- **`memory_delete` tool**: Unified delete: single ID, search-then-delete, bulk, entity cascade. Replaces `memory_forget` and `memory_delete_all`
- **CLI subcommands**: `openclaw mem0 init`, `openclaw mem0 status`, `openclaw mem0 config show`, `openclaw mem0 config set`
- **`import` CLI command**: Bulk-import memories from a JSON file with `--user-id` and `--agent-id` overrides
- **`event list` / `event status` CLI commands**: Monitor background processing events
@@ -190,17 +190,17 @@ mode: "wide"
- **Auto-capture minimum content gate**: Skips extraction when total user content is fewer than 50 chars
**Removed:**
- `memory_store` tool — replaced by `memory_add`
- `memory_forget` tool — replaced by `memory_delete`
- `memory_delete_all` tool — merged into `memory_delete`
- `memory_history` tool and `history` CLI command — deprecated
- `memory_store` tool: replaced by `memory_add`
- `memory_forget` tool: replaced by `memory_delete`
- `memory_delete_all` tool: merged into `memory_delete`
- `memory_history` tool and `history` CLI command: deprecated
</Update>
<Update label="2026-04-03" description="v1.0.3">
**Bug Fixes:**
- **Security**: Added `safePath()` containment helper to `readSkillFile` and `readDomainOverlay` in `skill-loader.ts` — prevents directory traversal
- **Security**: Added `safePath()` containment helper to `readSkillFile` and `readDomainOverlay` in `skill-loader.ts`: prevents directory traversal
- **Noise filter**: Reverted incorrect `After-Compaction` regex rename back to `Post-Compaction`
**Changes:**
@@ -214,7 +214,7 @@ mode: "wide"
<Update label="2026-04-02" description="v1.0.2">
**Bug Fixes:**
- **Security**: Removed `resolveEnvVars()` and `resolveEnvVarsDeep()` from `config.ts` — plugin-side env resolution was redundant and triggered static analysis warnings ([#4676](https://github.com/mem0ai/mem0/pull/4676))
- **Security**: Removed `resolveEnvVars()` and `resolveEnvVarsDeep()` from `config.ts`: plugin-side env resolution was redundant and triggered static analysis warnings ([#4676](https://github.com/mem0ai/mem0/pull/4676))
</Update>
+1 -1
View File
@@ -1,6 +1,6 @@
---
title: "Platform"
description: "Release notes for the Mem0 hosted platform — backend, dashboard, billing, and infrastructure changes."
description: "Release notes for the Mem0 hosted platform: backend, dashboard, billing, and infrastructure changes."
mode: "wide"
---
+54 -54
View File
@@ -10,7 +10,7 @@ mode: "wide"
<Update label="2026-06-27" description="v2.0.10">
**New Features:**
- **Client:** Expose `expiration_date` on `MemoryClient.update()` and `AsyncMemoryClient.update()` — callers can now set or clear a memory's expiration date; `None` is preserved and forwarded to the API ([#5874](https://github.com/mem0ai/mem0/pull/5874))
- **Client:** Expose `expiration_date` on `MemoryClient.update()` and `AsyncMemoryClient.update()`: callers can now set or clear a memory's expiration date; `None` is preserved and forwarded to the API ([#5874](https://github.com/mem0ai/mem0/pull/5874))
**Bug Fixes:**
- **Memory (OSS):** Apply `remove_code_blocks()` to the LangChain path in async `_create_procedural_memory` so code fences are stripped consistently ([#5711](https://github.com/mem0ai/mem0/pull/5711))
@@ -32,7 +32,7 @@ mode: "wide"
<Update label="2026-06-24" description="v2.0.8">
**New Features:**
- **Embeddings:** Add native `embed_batch` to five embedders — LM Studio, Together, HuggingFace, Vertex AI, and Google GenAI — for batched embedding requests ([#5609](https://github.com/mem0ai/mem0/pull/5609))
- **Embeddings:** Add native `embed_batch` to five embedders: LM Studio, Together, HuggingFace, Vertex AI, and Google GenAI: for batched embedding requests ([#5609](https://github.com/mem0ai/mem0/pull/5609))
**Bug Fixes:**
- **Core:** Guard against malformed `image_url` entries in `parse_vision_messages` to prevent crashes ([#5631](https://github.com/mem0ai/mem0/pull/5631))
@@ -139,15 +139,15 @@ mode: "wide"
- **Memory:** Add opt-in `explain=True` parameter to `Memory.search()` and `AsyncMemory.search()`. When enabled, each result includes a `score_details` dict with `semantic_score`, `bm25_score`, `entity_boost`, `raw_score`, `max_possible_score`, `final_score`, and `threshold` so callers can understand and tune retrieval ranking ([#5102](https://github.com/mem0ai/mem0/pull/5102))
**Bug Fixes:**
- **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better) consistently across all backends. 11 adapters previously returned raw distance metrics (lower = better) — FAISS, Chroma, Milvus, Redis, Cassandra, PGVector, S3 Vectors, Supabase, Valkey, Azure MySQL, and Vertex AI Vector Search — causing incorrect ranking in multi-store setups ([#5391](https://github.com/mem0ai/mem0/pull/5391))
- **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better) consistently across all backends. 11 adapters previously returned raw distance metrics (lower = better): FAISS, Chroma, Milvus, Redis, Cassandra, PGVector, S3 Vectors, Supabase, Valkey, Azure MySQL, and Vertex AI Vector Search: causing incorrect ranking in multi-store setups ([#5391](https://github.com/mem0ai/mem0/pull/5391))
- **Memory:** Parallelize entity boost searches in `Memory.search()` and `AsyncMemory.search()`. Previously up to 8 entities were embedded and queried sequentially (16 serial round-trips with remote embedders); all entity lookups now run concurrently, eliminating multi-second latency on entity-rich queries ([#5377](https://github.com/mem0ai/mem0/pull/5377))
- **Memory:** Reject empty or whitespace-only queries in `Memory.search()`, `AsyncMemory.search()`, `MemoryClient.search()`, and `AsyncMemoryClient.search()` before any embedding or API call is made. Also strips leading/trailing whitespace from valid queries ([#5258](https://github.com/mem0ai/mem0/pull/5258))
- **LLMs:** Add `is_reasoning_model: Optional[bool]` override to `BaseLlmConfig` (surfaced on `OpenAILlmConfig` and `AzureOpenAILlmConfig`). Fixes silent zero-extraction when using Azure deployments with versioned `gpt-5.x` names that the automatic name-based heuristic cannot recognize ([#5327](https://github.com/mem0ai/mem0/pull/5327))
- **LLMs:** Fix xAI LLM provider: add `XAIConfig` with `xai_base_url`, forward `tools`/`tool_choice` in `generate_response()`, and parse `tool_calls` in the response. Previously the provider raised `AttributeError` at init and silently dropped tool results ([#5190](https://github.com/mem0ai/mem0/pull/5190))
- **Vector Stores:** Fix PGVector `ConnectionPool` hang in Docker Compose environments where the app container starts before Postgres is DNS-resolvable — switched to `open=False` to avoid blocking constructor or silent zombie pool ([#5155](https://github.com/mem0ai/mem0/pull/5155))
- **Vector Stores:** Fix PGVector `sslmode` handling for PostgreSQL URIs — the `sslmode` query parameter is now correctly extracted and forwarded when building the async connection pool ([#5308](https://github.com/mem0ai/mem0/pull/5308))
- **Vector Stores:** Fix S3 Vectors `list()` not applying metadata filters — filtering is now done client-side after fetching, with pagination preserved and `top_k` applied after filtering to prevent pre-truncation of matching rows ([#5018](https://github.com/mem0ai/mem0/pull/5018))
- **Vector Stores:** Fix Upstash Vector `search()` routing all queries to the default namespace — `namespace` is now passed as a top-level keyword argument to `query_many()` instead of inside the per-query dict where it was silently ignored ([#5202](https://github.com/mem0ai/mem0/pull/5202))
- **Vector Stores:** Fix PGVector `ConnectionPool` hang in Docker Compose environments where the app container starts before Postgres is DNS-resolvable: switched to `open=False` to avoid blocking constructor or silent zombie pool ([#5155](https://github.com/mem0ai/mem0/pull/5155))
- **Vector Stores:** Fix PGVector `sslmode` handling for PostgreSQL URIs: the `sslmode` query parameter is now correctly extracted and forwarded when building the async connection pool ([#5308](https://github.com/mem0ai/mem0/pull/5308))
- **Vector Stores:** Fix S3 Vectors `list()` not applying metadata filters: filtering is now done client-side after fetching, with pagination preserved and `top_k` applied after filtering to prevent pre-truncation of matching rows ([#5018](https://github.com/mem0ai/mem0/pull/5018))
- **Vector Stores:** Fix Upstash Vector `search()` routing all queries to the default namespace: `namespace` is now passed as a top-level keyword argument to `query_many()` instead of inside the per-query dict where it was silently ignored ([#5202](https://github.com/mem0ai/mem0/pull/5202))
- **Core:** Replace mutable default arguments with `None` sentinels in embedder configs and the proxy module, preventing cross-request state contamination ([#5302](https://github.com/mem0ai/mem0/pull/5302))
</Update>
@@ -155,15 +155,15 @@ mode: "wide"
<Update label="2026-05-27" description="v2.0.4">
**New Features:**
- **Client:** `delete()` and async `delete()` accept `delete_linked` (default `False`). When `True`, deleting a memory also removes the older memories it superseded (the v3 `linked_memory_ids` chain), transitively — the delete-side counterpart of `latest_only`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
- **Client:** `delete()` and async `delete()` accept `delete_linked` (default `False`). When `True`, deleting a memory also removes the older memories it superseded (the v3 `linked_memory_ids` chain), transitively: the delete-side counterpart of `latest_only`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
</Update>
<Update label="2026-05-26" description="v2.0.3">
**Bug Fixes:**
- **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keyword_search()`, and `list()`. Previously only exact-equality filters worked — operator dicts were silently stringified and returned zero results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
- **Server:** Fixed `/search` endpoint returning 502 when `user_id`, `agent_id`, or `run_id` are sent as top-level request fields. The server now maps these into the `filters` dict before calling `Memory.search()`, matching the v3 API contract. Top-level entity ID fields are marked as deprecated in the OpenAPI schema and emit a warning log — clients should migrate to `filters={"user_id": "..."}` ([#5263](https://github.com/mem0ai/mem0/pull/5263))
- **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keyword_search()`, and `list()`. Previously only exact-equality filters worked: operator dicts were silently stringified and returned zero results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
- **Server:** Fixed `/search` endpoint returning 502 when `user_id`, `agent_id`, or `run_id` are sent as top-level request fields. The server now maps these into the `filters` dict before calling `Memory.search()`, matching the v3 API contract. Top-level entity ID fields are marked as deprecated in the OpenAPI schema and emit a warning log: clients should migrate to `filters={"user_id": "..."}` ([#5263](https://github.com/mem0ai/mem0/pull/5263))
</Update>
@@ -200,10 +200,10 @@ mode: "wide"
<Update label="2026-04-14" description="v2.0.0">
**Major Release** — Python SDK with V3 memory pipeline, ADD-only extraction, and cleaned-up API surface.
**Major Release**: Python SDK with V3 memory pipeline, ADD-only extraction, and cleaned-up API surface.
**New Features:**
- **Single-Pass Extraction:** Replaced 2-LLM-call pipeline with additive extraction using `ADDITIVE_EXTRACTION_PROMPT`. Memories accumulate via `linked_memory_ids` — no more UPDATE/DELETE events ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **Single-Pass Extraction:** Replaced 2-LLM-call pipeline with additive extraction using `ADDITIVE_EXTRACTION_PROMPT`. Memories accumulate via `linked_memory_ids`: no more UPDATE/DELETE events ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **Hybrid Search:** Combined semantic + BM25 keyword matching + entity boost with additive scoring. Native `keyword_search()` added to 15 vector store adapters (Qdrant, Elasticsearch, OpenSearch, Azure AI Search, Weaviate, Redis, PGVector, Pinecone, Databricks, MongoDB, Milvus, Baidu, Upstash, Azure MySQL, Vertex AI) ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **Entity Extraction & Linking:** spaCy-based entity extraction with second vector collection (`{collection}_entities`) for cross-memory relationship retrieval. Optional dependency: `pip install mem0ai[nlp]` ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **Batch Operations:** Batch embedding, batch persist, and batch entity linking (8-phase pipeline) for both sync `Memory` and async `AsyncMemory` at full parity ([#4805](https://github.com/mem0ai/mem0/pull/4805))
@@ -213,20 +213,20 @@ mode: "wide"
- **Default model:** `gpt-5-mini` is now the default across `OpenAILLM`, `OpenAIStructuredLLM`, `AzureOpenAILLM`, `AzureOpenAIStructuredLLM`, and `LiteLLM` fallback ([#4829](https://github.com/mem0ai/mem0/pull/4829))
**Breaking Changes:**
- **`add()` returns ADD-only events** — No more `"UPDATE"` or `"DELETE"` events. Memories accumulate; nothing is overwritten ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **`search()` default `threshold` is now `0.1`** — Pass `threshold=0.0` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **`search()` `score` is now a combined multi-signal score** — The top-level `score` fuses semantic similarity, BM25 keyword match, entity signals, and temporal boosts into one value. Absolute numbers shift versus the old raw cosine score; retune any hard thresholds against representative queries ([#4805](https://github.com/mem0ai/mem0/pull/4805), [#4836](https://github.com/mem0ai/mem0/pull/4836))
- **`search()` default `rerank` is now `False`** — Pass `rerank=True` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **`add()` returns ADD-only events**: No more `"UPDATE"` or `"DELETE"` events. Memories accumulate; nothing is overwritten ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **`search()` default `threshold` is now `0.1`**: Pass `threshold=0.0` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **`search()` `score` is now a combined multi-signal score**: The top-level `score` fuses semantic similarity, BM25 keyword match, entity signals, and temporal boosts into one value. Absolute numbers shift versus the old raw cosine score; retune any hard thresholds against representative queries ([#4805](https://github.com/mem0ai/mem0/pull/4805), [#4836](https://github.com/mem0ai/mem0/pull/4836))
- **`search()` default `rerank` is now `False`**: Pass `rerank=True` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **`top_k` default changed 100 → 20** in `Memory.get_all()` and `Memory.search()` (sync + async). Pass `top_k=100` explicitly to restore the old behavior ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **Entity ID validation:** `user_id` / `agent_id` / `run_id` are trimmed; empty-string and whitespace-only values now raise `ValueError` ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **Search params validation:** `threshold` must be a number in `[0, 1]`; `top_k` must be a non-negative integer — invalid inputs raise `ValueError` ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **Search params validation:** `threshold` must be a number in `[0, 1]`; `top_k` must be a non-negative integer: invalid inputs raise `ValueError` ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **`messages` in `Memory.add()` rejects invalid types:** Passing `None` or non-`(str | dict | list)` values raises `Mem0ValidationError` (`error_code="VALIDATION_003"`) ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **`qdrant-client>=1.12.0` required** — Upgrade from `>=1.9.1` ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **`org_id` and `project_id` removed** — Removed from `MemoryClient` constructor and all method signatures ([#4740](https://github.com/mem0ai/mem0/pull/4740))
- **`qdrant-client>=1.12.0` required**: Upgrade from `>=1.9.1` ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **`org_id` and `project_id` removed**: Removed from `MemoryClient` constructor and all method signatures ([#4740](https://github.com/mem0ai/mem0/pull/4740))
- **External Graph Store Removed (OSS):** `mem0/memory/graph_memory.py`, `memgraph_memory.py`, `kuzu_memory.py`, `apache_age_memory.py`, and `mem0/graphs/` (Neo4j / Memgraph / Kuzu / Apache AGE / Neptune drivers) deleted, about 4,000 lines. The external graph store integration is no longer part of the OSS SDK; graph drivers (neo4j, memgraph, kuzu, etc.) can be uninstalled. Graph memory now runs natively as built-in entity linking. Remove `enable_graph` and `graph_store` from your config ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **`enable_graph` removed from Client SDK:** Graph memory now runs automatically and no longer needs a flag. Remove `enable_graph` from `MemoryClient.add()` / `search()` / `get_all()` / `update_project()` calls ([#4776](https://github.com/mem0ai/mem0/pull/4776))
- **`custom_fact_extraction_prompt` renamed to `custom_instructions`** — Update config and memory module references ([#4740](https://github.com/mem0ai/mem0/pull/4740))
- **Typed option classes** — Added Pydantic v2 typed classes: `AddMemoryOptions`, `SearchMemoryOptions`, `GetAllMemoryOptions`, `DeleteAllMemoryOptions`, `UpdateMemoryOptions`, `ProjectUpdateOptions` ([#4740](https://github.com/mem0ai/mem0/pull/4740))
- **`custom_fact_extraction_prompt` renamed to `custom_instructions`**: Update config and memory module references ([#4740](https://github.com/mem0ai/mem0/pull/4740))
- **Typed option classes**: Added Pydantic v2 typed classes: `AddMemoryOptions`, `SearchMemoryOptions`, `GetAllMemoryOptions`, `DeleteAllMemoryOptions`, `UpdateMemoryOptions`, `ProjectUpdateOptions` ([#4740](https://github.com/mem0ai/mem0/pull/4740))
**Security:**
- **FAISS:** Prevent arbitrary code execution via pickle deserialization in `FAISS` vector store ([#4833](https://github.com/mem0ai/mem0/pull/4833))
@@ -234,7 +234,7 @@ mode: "wide"
**Bug Fixes:**
- **V3 migration crashes:** Fixed crashes in the v3 migration path; entity linking on OSS is now functional across Qdrant and Milvus backends ([#4836](https://github.com/mem0ai/mem0/pull/4836))
- **Qdrant entity store:** Entity store now shares the existing Qdrant client when using embedded mode (`path=...`), eliminating RocksDB lock contention between the main and entity collections ([#4836](https://github.com/mem0ai/mem0/pull/4836))
- **Reranker:** Fixed incorrect use of SentenceTransformer for cross-encoder reranker models — switched to CrossEncoder API for proper scoring ([#4806](https://github.com/mem0ai/mem0/pull/4806))
- **Reranker:** Fixed incorrect use of SentenceTransformer for cross-encoder reranker models: switched to CrossEncoder API for proper scoring ([#4806](https://github.com/mem0ai/mem0/pull/4806))
- **S3 Vectors:** Handle `vector=None` in `update()` to prevent boto3 validation error when `event=NONE` ([#4594](https://github.com/mem0ai/mem0/pull/4594))
- **LLMs:** Made OpenAI `store` parameter opt-in to prevent leaking to non-OpenAI backends like Google Gemini ([#4757](https://github.com/mem0ai/mem0/pull/4757))
- **LLMs:** Forward `response_format` to Azure OpenAI API to prevent JSON parsing failures ([#4689](https://github.com/mem0ai/mem0/pull/4689))
@@ -372,7 +372,7 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
**New Features & Updates:**
- **Memory Update:**
- Added `timestamp` parameter to `update()` — accepts Unix epoch (int/float) or ISO 8601 string
- Added `timestamp` parameter to `update()`: accepts Unix epoch (int/float) or ISO 8601 string
</Update>
@@ -1130,8 +1130,8 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
<Update label="2026-06-17" description="v3.0.9">
**Bug Fixes:**
- **LLMs:** Fix Anthropic `tool_choice` format — was incorrectly sent as a bare string `"auto"` (rejected by the API); now correctly sent as `{ type: "auto" }`. Also fixes tool response parsing: `tool_use` blocks are now parsed into `toolCalls` objects instead of throwing. Updated default model to `claude-sonnet-4-6` and default `max_tokens` to `2000` to match the Python provider. Added `temperature`, `topP`, and `maxTokens` to `LLMConfig` so Anthropic params can be configured ([#5537](https://github.com/mem0ai/mem0/pull/5537))
- **Memory (OSS):** Preserve custom metadata fields during `update()` — fields such as `category`, `priority`, and other user-defined keys were previously dropped on update; the existing payload is now spread before applying the new data ([#5480](https://github.com/mem0ai/mem0/pull/5480))
- **LLMs:** Fix Anthropic `tool_choice` format: was incorrectly sent as a bare string `"auto"` (rejected by the API); now correctly sent as `{ type: "auto" }`. Also fixes tool response parsing: `tool_use` blocks are now parsed into `toolCalls` objects instead of throwing. Updated default model to `claude-sonnet-4-6` and default `max_tokens` to `2000` to match the Python provider. Added `temperature`, `topP`, and `maxTokens` to `LLMConfig` so Anthropic params can be configured ([#5537](https://github.com/mem0ai/mem0/pull/5537))
- **Memory (OSS):** Preserve custom metadata fields during `update()`: fields such as `category`, `priority`, and other user-defined keys were previously dropped on update; the existing payload is now spread before applying the new data ([#5480](https://github.com/mem0ai/mem0/pull/5480))
- **Client:** Preserve user-defined schema keys in `createMemoryExport` ([#5594](https://github.com/mem0ai/mem0/pull/5594))
**Security:**
@@ -1158,7 +1158,7 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
**Bug Fixes:**
- **Memory:** Parallelize entity boost searches in `Memory.search()`. All entity embed + store lookups now run concurrently instead of sequentially, eliminating multi-second latency on entity-rich queries with remote embedding providers ([#5377](https://github.com/mem0ai/mem0/pull/5377))
- **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better) — fixed score inversion in the Redis vector store adapter ([#5391](https://github.com/mem0ai/mem0/pull/5391))
- **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better): fixed score inversion in the Redis vector store adapter ([#5391](https://github.com/mem0ai/mem0/pull/5391))
- **Embeddings:** Request `encoding_format: "float"` from the OpenAI embedder in both `embed()` and `embedBatch()`. Fixes incorrect vector dimensions when using OpenAI-compatible proxies that default to base64 encoding ([#5170](https://github.com/mem0ai/mem0/pull/5170))
</Update>
@@ -1173,14 +1173,14 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
<Update label="2026-05-27" description="v3.0.5">
**New Features:**
- **Client:** `delete()` accepts an options object with `deleteLinked` (serialized as `delete_linked`, default `false`). When `true`, deleting a memory also removes the older memories it superseded (the v3 linked chain), transitively — the delete-side counterpart of `latestOnly`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
- **Client:** `delete()` accepts an options object with `deleteLinked` (serialized as `delete_linked`, default `false`). When `true`, deleting a memory also removes the older memories it superseded (the v3 linked chain), transitively: the delete-side counterpart of `latestOnly`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
</Update>
<Update label="2026-05-26" description="v3.0.4">
**Bug Fixes:**
- **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keywordSearch()`, and `list()`. Previously only exact-equality filters worked — operator objects were passed as raw values and returned incorrect results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
- **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keywordSearch()`, and `list()`. Previously only exact-equality filters worked: operator objects were passed as raw values and returned incorrect results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
</Update>
@@ -1210,16 +1210,16 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
<Update label="2026-04-20" description="v3.0.1">
**Bug Fixes:**
- **Telemetry:** SDK version is now injected into telemetry at build time via esbuild's `define`, replacing the two hardcoded version strings in `src/client/telemetry.ts` and `src/oss/src/utils/telemetry.ts`. Previously these were stuck at `2.1.36` and `2.1.34` while the published package was on `3.x`, so every telemetry event was reporting the wrong `client_version`. The placeholder is substituted with a string literal at bundle time — no runtime `require("./package.json")` in the shipped bundle ([#4897](https://github.com/mem0ai/mem0/pull/4897)).
- **Telemetry:** SDK version is now injected into telemetry at build time via esbuild's `define`, replacing the two hardcoded version strings in `src/client/telemetry.ts` and `src/oss/src/utils/telemetry.ts`. Previously these were stuck at `2.1.36` and `2.1.34` while the published package was on `3.x`, so every telemetry event was reporting the wrong `client_version`. The placeholder is substituted with a string literal at bundle time: no runtime `require("./package.json")` in the shipped bundle ([#4897](https://github.com/mem0ai/mem0/pull/4897)).
</Update>
<Update label="2026-04-14" description="v3.0.0">
**Major Release** — TypeScript SDK with V3 memory pipeline, camelCase parameters, and cleaned-up API surface.
**Major Release**: TypeScript SDK with V3 memory pipeline, camelCase parameters, and cleaned-up API surface.
**V3 Memory Pipeline (OSS):**
- **Single-Pass Extraction:** Additive extraction pipeline aligned with Python SDK — memories accumulate, no UPDATE/DELETE events ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **Single-Pass Extraction:** Additive extraction pipeline aligned with Python SDK: memories accumulate, no UPDATE/DELETE events ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **Entity Extraction & Linking:** New `entity_extraction.ts` module (720+ lines) with cross-memory relationship retrieval ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **Message Persistence:** SQLite-based message history via new `SQLiteManager.ts` with rolling window for LLM context ([#4805](https://github.com/mem0ai/mem0/pull/4805))
- **Batch Embeddings:** `embedBatch()` support in OpenAI and Azure embedding providers ([#4805](https://github.com/mem0ai/mem0/pull/4805))
@@ -1242,10 +1242,10 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
- **`limit` renamed to `topK` (OSS):** Update all search calls ([#4740](https://github.com/mem0ai/mem0/pull/4740))
- **`topK` default changed 100 → 20** in `Memory.getAll()` and `Memory.search()`. Pass `topK: 100` explicitly to restore the old behavior ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **Entity ID validation:** `userId` / `agentId` / `runId` are trimmed; empty-string and whitespace-only values now throw ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **Search params validation:** `threshold` must be in `[0, 1]`; `topK` must be a non-negative integer — invalid inputs throw ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **Search params validation:** `threshold` must be in `[0, 1]`; `topK` must be a non-negative integer: invalid inputs throw ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **`messages` in `Memory.add()` is required:** Passing `undefined` or `null` now throws ([#4843](https://github.com/mem0ai/mem0/pull/4843))
- **`customPrompt` renamed to `customInstructions` (OSS):** Update memory and vector store configurations ([#4740](https://github.com/mem0ai/mem0/pull/4740))
- **`enableGraph` removed (OSS):** Config option removed — graph memory no longer available in OSS ([#4776](https://github.com/mem0ai/mem0/pull/4776))
- **`enableGraph` removed (OSS):** Config option removed: graph memory no longer available in OSS ([#4776](https://github.com/mem0ai/mem0/pull/4776))
**New Features:**
- **LLMs:** Added DeepSeek LLM provider with OpenAI-compatible integration using custom baseURL to `api.deepseek.com` ([#4613](https://github.com/mem0ai/mem0/pull/4613))
@@ -1257,7 +1257,7 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
- **PGVector init race:** `PGVector.initialize()` now memoises the in-flight init promise ([#4841](https://github.com/mem0ai/mem0/pull/4841))
- **Redis module detection:** Handles both node-redis v4+ and legacy `moduleList` response shapes ([#4841](https://github.com/mem0ai/mem0/pull/4841))
- **Config:** Fixed `ConfigManager.mergeConfig()` to only include `graphStore` when explicitly provided by user, preventing default Neo4j connection attempts ([#4776](https://github.com/mem0ai/mem0/pull/4776))
- **LLMs:** Config manager now falls back to `userConf.url` for `baseURL` — prevents custom LLM providers (Ollama, LMStudio) from silently connecting to OpenAI ([#4761](https://github.com/mem0ai/mem0/pull/4761))
- **LLMs:** Config manager now falls back to `userConf.url` for `baseURL`: prevents custom LLM providers (Ollama, LMStudio) from silently connecting to OpenAI ([#4761](https://github.com/mem0ai/mem0/pull/4761))
**Improvements:**
- **Telemetry:** Sample OSS hot-path events at 10% to reduce PostHog event volume ([#4771](https://github.com/mem0ai/mem0/pull/4771))
@@ -1311,7 +1311,7 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
- **Types:** Added `WebhookCreatePayload` and `WebhookUpdatePayload` for better type safety
**Tests:**
- Added end-to-end unit test coverage for the platform client — CRUD, batch, search, webhooks, users, project, and initialization (#4357)
- Added end-to-end unit test coverage for the platform client: CRUD, batch, search, webhooks, users, project, and initialization (#4357)
- Added real API integration tests for memory CRUD, batch operations, search, user management, project configuration, and webhook lifecycle (#4395)
- Deleted obsolete e2e test files replaced by the new structured test suite (#4419)
@@ -1320,7 +1320,7 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
<Update label="2026-03-16" description="v2.4.1">
**Bug Fixes:**
- **Core:** Fixed code block content extraction — content inside code blocks is now properly extracted instead of being deleted (#4317)
- **Core:** Fixed code block content extraction: content inside code blocks is now properly extracted instead of being deleted (#4317)
**Improvements:**
- **Code Quality:** Fixed linting issues across the SDK (#4334)
@@ -1331,8 +1331,8 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
**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.
- **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.
@@ -1347,7 +1347,7 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
**Bug Fixes:**
- **OSS Storage:** Replaced `sqlite3` with `better-sqlite3` to fix native binding resolution failures under jiti-based loaders (e.g. OpenClaw plugin system). Fixes issues where the `bindings` module walked V8 stack frames with synthetic filenames, failing to locate the native `.node` addon.
- **OSS Storage:** Fixed async init race condition in `SQLiteManager` — `init()` is now synchronous
- **OSS Storage:** Fixed async init race condition in `SQLiteManager`: `init()` is now synchronous
- **OSS Vector Store:** Migrated `MemoryVectorStore` from `sqlite3` to `better-sqlite3` with transactional batch inserts
**Improvements:**
@@ -1361,7 +1361,7 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
**New Features & Updates:**
- **Memory Update:**
- Added `timestamp` parameter to `update()` — accepts Unix epoch or ISO 8601 string
- Added `timestamp` parameter to `update()`: accepts Unix epoch or ISO 8601 string
</Update>
@@ -1593,21 +1593,21 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
<Update label="2026-05-16" description="Python v0.2.6 / Node v0.2.6">
**Bug Fixes:**
- **Claim flow error message:** The `email_already_claimed` tip in `mem0 init --email` previously suggested running `mem0 link <key>` — a command that doesn't exist. Replaced with honest copy pointing the user to sign in at app.mem0.ai with their existing credentials ([#5152](https://github.com/mem0ai/mem0/pull/5152))
- **Claim flow error message:** The `email_already_claimed` tip in `mem0 init --email` previously suggested running `mem0 link <key>`: a command that doesn't exist. Replaced with honest copy pointing the user to sign in at app.mem0.ai with their existing credentials ([#5152](https://github.com/mem0ai/mem0/pull/5152))
</Update>
<Update label="2026-05-14" description="Python v0.2.5 / Node v0.2.5">
**New Features:**
- **Agent Mode (`mem0 init --agent`):** Zero-friction signup for AI agents — mints a working Mem0 API key in under 5 seconds with no email, no dashboard, no OTP. Returns an unclaimed shadow account the human can later claim with `mem0 init --email <their-email>` (memories preserved, same key keeps working) ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Self-declared agent identity:** Agents pass `--agent-caller <name>` (e.g. `claude-code`, `cursor`, `codex`) on `mem0 init --agent` so signups attribute to the right tool in analytics. Proof Editor-style — the agent declares itself rather than the CLI sniffing it from env vars ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **`mem0 identify <name>`:** New subcommand to self-tag an Agent Mode key after the fact when the agent forgot to pass `--agent-caller` on init. Idempotent — re-running just overwrites ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Plugin sync:** `~/.claude/settings.json::env::MEM0_API_KEY` and `~/.zshrc`/`.bashrc` `export MEM0_API_KEY=` lines stay in sync with `~/.mem0/config.json` automatically. Idempotent — only updates EXISTING entries, never creates new ones ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Claim flow:** `mem0 init --email <email>` claims an existing Agent Mode shadow via OTP. Upgrade-in-place — the API key never changes, memories transfer to the human's account ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Agent Mode (`mem0 init --agent`):** Zero-friction signup for AI agents: mints a working Mem0 API key in under 5 seconds with no email, no dashboard, no OTP. Returns an unclaimed shadow account the human can later claim with `mem0 init --email <their-email>` (memories preserved, same key keeps working) ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Self-declared agent identity:** Agents pass `--agent-caller <name>` (e.g. `claude-code`, `cursor`, `codex`) on `mem0 init --agent` so signups attribute to the right tool in analytics. Proof Editor-style: the agent declares itself rather than the CLI sniffing it from env vars ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **`mem0 identify <name>`:** New subcommand to self-tag an Agent Mode key after the fact when the agent forgot to pass `--agent-caller` on init. Idempotent: re-running just overwrites ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Plugin sync:** `~/.claude/settings.json::env::MEM0_API_KEY` and `~/.zshrc`/`.bashrc` `export MEM0_API_KEY=` lines stay in sync with `~/.mem0/config.json` automatically. Idempotent: only updates EXISTING entries, never creates new ones ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Claim flow:** `mem0 init --email <email>` claims an existing Agent Mode shadow via OTP. Upgrade-in-place: the API key never changes, memories transfer to the human's account ([#5123](https://github.com/mem0ai/mem0/pull/5123))
**Bug Fixes:**
- **Decision tree network resilience:** `pingKey` now distinguishes network errors from invalid keys — returns false ONLY on HTTP 401/403, returns true on connection failures / timeouts / 5xx. Prevents a VPN flap from silently rotating the user's API key and rewriting plugin-sync targets ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Decision tree network resilience:** `pingKey` now distinguishes network errors from invalid keys: returns false ONLY on HTTP 401/403, returns true on connection failures / timeouts / 5xx. Prevents a VPN flap from silently rotating the user's API key and rewriting plugin-sync targets ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Rate-limit error clarity:** DRF's opaque `"You do not have permission"` 403 from Agent Mode rate limits is now translated to `"Daily Agent Mode signup limit reached for this network (5/day). Try again from a different IP or after midnight UTC."` ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **JSON envelope `command` field:** `mem0 init --agent --json` error envelopes now populate the `command` field correctly instead of returning an empty string ([#5123](https://github.com/mem0ai/mem0/pull/5123))
- **Bootstrap envelope validation:** Defends against partial/malformed backend responses (e.g. `{api_key: null}`) silently persisting null/undefined into typed string fields ([#5123](https://github.com/mem0ai/mem0/pull/5123))
@@ -1617,7 +1617,7 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
<Update label="2026-04-22" description="Python v0.2.4 / Node v0.2.4">
**New Features:**
- **V3 API Routes:** Migrated `add`, `search`, and `list` commands from v1/v2 to v3 API endpoints — `POST /v3/memories/add/`, `POST /v3/memories/search/`, `POST /v3/memories/`. Aligns both CLIs with the Python and TypeScript SDKs which already use v3 ([#4916](https://github.com/mem0ai/mem0/pull/4916))
- **V3 API Routes:** Migrated `add`, `search`, and `list` commands from v1/v2 to v3 API endpoints: `POST /v3/memories/add/`, `POST /v3/memories/search/`, `POST /v3/memories/`. Aligns both CLIs with the Python and TypeScript SDKs which already use v3 ([#4916](https://github.com/mem0ai/mem0/pull/4916))
**Breaking Changes:**
- **`--graph` / `--no-graph` removed:** The `enable_graph` config option, `--graph` and `--no-graph` CLI flags, and `MEM0_ENABLE_GRAPH` environment variable have been removed from both CLIs. Graph memory is now a project-level setting on the Platform ([#4916](https://github.com/mem0ai/mem0/pull/4916))
@@ -1639,7 +1639,7 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
**New Features:**
- **Telemetry:** Added PostHog telemetry and source tracking to both Python and Node CLIs ([#4699](https://github.com/mem0ai/mem0/pull/4699))
- **Validation:** API key validated upfront via `/v1/ping/` on startup — fail-fast with a helpful error instead of cryptic 401s ([#4701](https://github.com/mem0ai/mem0/pull/4701))
- **Validation:** API key validated upfront via `/v1/ping/` on startup: fail-fast with a helpful error instead of cryptic 401s ([#4701](https://github.com/mem0ai/mem0/pull/4701))
**Bug Fixes:**
- **CD:** Fixed OIDC trusted publishing with `npx npm@latest` ([#4724](https://github.com/mem0ai/mem0/pull/4724))
@@ -1669,7 +1669,7 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
- **CI/CD:** Added CI pipelines and CD workflows for both CLIs ([#4640](https://github.com/mem0ai/mem0/pull/4640), [#4653](https://github.com/mem0ai/mem0/pull/4653))
**Bug Fixes:**
- **Node:** Fixed critical `MODULE_NOT_FOUND` crash on `status`, `import`, and all commands when installed globally — replaced runtime `createRequire` with build-time version injection ([#4636](https://github.com/mem0ai/mem0/pull/4636))
- **Node:** Fixed critical `MODULE_NOT_FOUND` crash on `status`, `import`, and all commands when installed globally: replaced runtime `createRequire` with build-time version injection ([#4636](https://github.com/mem0ai/mem0/pull/4636))
- **Node:** API errors now show full response detail instead of bare "Bad Request" ([#4636](https://github.com/mem0ai/mem0/pull/4636))
- **Python:** Fixed double error printing on all commands ([#4636](https://github.com/mem0ai/mem0/pull/4636))
- **`status` command:** Replaced heavyweight `/v1/entities/` check with dedicated `GET /v1/ping/` endpoint ([#4649](https://github.com/mem0ai/mem0/pull/4649))
@@ -1688,7 +1688,7 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
<Update label="2026-03-26" description="Python v0.1.0 / Node v0.1.0">
**Initial Release — Official Mem0 CLI**
**Initial Release: Official Mem0 CLI**
A full-featured command-line interface for Mem0, available in both Python and Node.js:
@@ -1715,7 +1715,7 @@ A full-featured command-line interface for Mem0, available in both Python and No
<Update label="2026-06-10" description="Vercel AI SDK v3.0.0">
**Major Release** — Migrated to Vercel AI SDK v6 (`LanguageModelV3` / `ProviderV3`) and Mem0 v3 API.
**Major Release**: Migrated to Vercel AI SDK v6 (`LanguageModelV3` / `ProviderV3`) and Mem0 v3 API.
**Breaking Changes:**
- **AI SDK v6:** Upgraded from AI SDK v5 (`LanguageModelV2`) to v6 (`LanguageModelV3`). Users must upgrade `ai` to `^6.0.199` and all `@ai-sdk/*` provider packages to `^3.x` ([#4741](https://github.com/mem0ai/mem0/pull/4741))
@@ -1728,7 +1728,7 @@ A full-featured command-line interface for Mem0, available in both Python and No
- **Mem0 source in responses:** Memories are attached as a `source` in `generateText`/`streamText` responses with `providerMetadata.mem0.memories` for programmatic access ([#4741](https://github.com/mem0ai/mem0/pull/4741))
**Bug Fixes:**
- **Async memory storage:** `addMemories` is now properly `await`ed — memories no longer silently fail to store ([#4741](https://github.com/mem0ai/mem0/pull/4741))
- **Async memory storage:** `addMemories` is now properly `await`ed: memories no longer silently fail to store ([#4741](https://github.com/mem0ai/mem0/pull/4741))
- **Prompt mutation:** Prompt array is now cloned before injecting memory context, preventing side effects on the caller's array ([#4741](https://github.com/mem0ai/mem0/pull/4741))
- **Null guard on content:** `doGenerate` guards against null `content` from upstream providers ([#4741](https://github.com/mem0ai/mem0/pull/4741))
- **Stream response:** `doStream` now returns the full `LanguageModelV3StreamResult` object preserving all V3 fields ([#4741](https://github.com/mem0ai/mem0/pull/4741))
@@ -1749,7 +1749,7 @@ A full-featured command-line interface for Mem0, available in both Python and No
The unified Mem0 plugin for AI development environments:
- **9 MCP memory tools:** `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities` — all via `mcp.mem0.ai`
- **9 MCP memory tools:** `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`: all via `mcp.mem0.ai`
- **Lifecycle hooks:** Automatic memory capture at session start, context compaction, task completion, and session end
- **Cloud MCP server:** Managed endpoint replaces local MCP and Smithery setup
- **Streamable HTTP transport:** New MCP transport protocol for real-time streaming