Kartik
102 lines
5.1 KiB
Plaintext
102 lines
5.1 KiB
Plaintext
---
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title: "Highlights"
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description: "Major product launches, headline features, and milestones for Mem0."
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mode: "wide"
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---
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<Update label="2026-04-14" description="Mem0 SDK v2.0.0 / v3.0.0">
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**New Memory Algorithm — State-of-the-Art Accuracy at ~3-4x Lower Cost**
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Ground-up rewrite of the memory pipeline with 20+ point benchmark improvements:
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- **LoCoMo:** 71.4 → **91.6** (+20) — multi-turn conversation recall
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- **LongMemEval:** 67.8 → **93.4** (+26) — long-term memory across sessions
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- **BEAM (1M tokens):** **64.1** — production-scale memory evaluation
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- **Agent memories are first-class** — Previous algorithm: 46% on assistant recall. New: **100%**
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- **Temporal reasoning works** — "Where did I live before SF?" Previous: 51%. New: **93%**
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- **~3-4x fewer tokens** — Under 7K tokens per retrieval vs 25K+ for full-context approaches
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- **ADD-only extraction** — Memories accumulate; nothing is overwritten or deleted
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- **Hybrid retrieval** — Semantic + BM25 keyword + entity boost, scored in parallel
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- **Entity linking** — Entities extracted, embedded, and linked across memories
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Breaking changes: Graph memory removed from OSS, `search()` defaults changed, deprecated params removed. See [migration guide](/migration/oss-v2-to-v3).
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</Update>
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<Update label="2026-04-06" description="Mem0 Skill Graph">
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**Mem0 Skill Graph — In-Context Documentation for AI Agents**
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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:
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- **mem0 Core Skill** — Complete Python and TypeScript SDK reference, REST API patterns, and integration guides for LangChain, CrewAI, Autogen, and more
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- **mem0-cli Skill** — Terminal command reference, configuration walkthroughs, and CI/CD recipes
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- **mem0-vercel-ai-sdk Skill** — Vercel AI SDK provider API, memory-augmented generation patterns, and multi-provider setup
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</Update>
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<Update label="2026-04-06" description="Mem0 CLI v0.2.2">
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**Official Mem0 CLI — Now on PyPI and npm**
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A full-featured command-line interface for Mem0, available in both Python and Node.js:
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- **Install:** `pip install mem0-cli` or `npm install -g @mem0/cli`
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- **Full command suite** — `add`, `search`, `list`, `get`, `update`, `delete`, `import`, `config`, `init`, `status`, `entity`, `event`
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- **Interactive setup** — `mem0 init` with email verification or direct API key entry
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- **Works everywhere** — Platform (Mem0 Cloud) and self-hosted OSS modes
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- **Scriptable** — `--json` flag for CI/CD pipelines and automation
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- **Dual SDK** — Same commands, same experience across Python and Node.js
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</Update>
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<Update label="2026-04-06" description="OpenClaw v1.0.4">
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**OpenClaw Plugin — Production-Ready**
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The OpenClaw Mem0 plugin went from initial release to production-ready in one week (v1.0.0 → v1.0.4):
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- **Skills-based memory architecture** — New extraction pipeline with skill-loader, batched extraction, and domain-aware memory triage
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- **Dream gate** — Automatic memory consolidation during idle periods for higher-quality long-term recall
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- **Interactive CLI** — `openclaw mem0 init`, `status`, `config`, `import`, and `event` commands
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- **Unified tool naming** — `memory_add` and `memory_delete` replace 4 legacy tools, matching the platform API
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- **Security hardened** — Path traversal protection, pinned dependencies, 329 tests across 10 files
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</Update>
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<Update label="2026-04-02" description="Mem0 Plugin for AI Editors">
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**Mem0 Plugin for Claude Code, Cursor, and Codex**
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Launched a unified Mem0 plugin across three major AI development environments — Claude Code and Cursor first (March 25), then Codex (April 2):
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- **9 MCP memory tools** — add, search, get, update, delete, bulk delete, entity management via `mcp.mem0.ai`
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- **Lifecycle hooks** — Automatic memory capture at session start, context compaction, task completion, and session end
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- **Cloud MCP server** — Managed endpoint replaces local MCP and Smithery setup
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- **Streamable HTTP transport** — New MCP transport protocol for real-time streaming
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- **Codex-specific skill** — Dedicated skill in `mem0-plugin/skills/mem0-codex` for Codex workflows
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</Update>
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<Update label="2026-03-21" description="New Providers">
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**Apache AGE, Turbopuffer, MiniMax, and pgvector for Node.js**
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Major expansion of the provider ecosystem:
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- **Apache AGE** — New graph store support, bringing the total to 4 graph store backends (Neo4j, Memgraph, Kuzu, Apache AGE)
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- **Turbopuffer** — New vector database provider for Python SDK
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- **MiniMax** — New LLM provider with dedicated AWS Bedrock support
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- **pgvector for Node.js** — PostgreSQL vector support added to the TypeScript OSS SDK
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- **Reasoning models** — `reasoning_effort` parameter for OpenAI o1/o3-style models
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</Update>
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<Update label="2026-03-14" description="Mem0 Platform Skill">
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**Mem0 Platform Skill on skills.sh**
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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.
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</Update> |