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\n \n
\n\n[](../../LICENSE)\n[](https://www.npmjs.com/package/openclaw-amem)\n[](https://arxiv.org/abs/2502.12110)\n\n**Memory for [OpenClaw](https://github.com/openclaw/openclaw) agents that catches its own contradictions.**\n\nA nightly pass re-reads what changed and flags memories that no longer agree with each other. This is the failure mode every long-lived memory store eventually has. The plugin also extracts facts instead of storing transcripts. It rewrites notes as new ones arrive, links them into a Zettelkasten-style graph, and retrieves them with hybrid BM25 + dense search over 2-hop expansion. The plugin scopes memories per agent (`owner`/`readers`/`writers`) and per subject, and enforces both inside the Qdrant query rather than filtering after it.\n\nThe plugin runs on a small model — `gpt-4o-mini`, `haiku`, a local Ollama. It does not require Python.\n\n中文走 [jieba](https://github.com/messense/node-jieba) 分词，提示词有完整中文版（`AMEM_PROMPT_LOCALE=zh`），embedding 模型本身多语言。\n\nRequires a local [Qdrant](https://qdrant.tech). Implements [A-MEM](https://arxiv.org/abs/2502.12110) (arXiv 2502.12110); the engine itself is [`@amemhq/core`](../amem-core).\n\n> 📖 Full guides, architecture & references: **[amem.owo.lc](https://amem.owo.lc)**.\n\n⭐ Useful? [Star it on GitHub](https://github.com/amemhq/amem).\n\n## Highlights\n\n- 🔄 **Memories evolve** — new facts update/link related memories (EVOLVE / CONFLICT / EXPAND / NEW), not silent overwrite.\n- 🔍 **Hybrid retrieval** — BM25 (Jieba for Chinese) + dense vectors (RRF) + 2-hop graph expansion with a relevance gate.\n- 🧠 **Knowledge vs episodic** — durable knowledge notes skip consolidation & time-decay. Topic tags for precise recall.\n- 🧹 **Self-consolidating** — daily 02:30 in-process merge of semantic duplicates with link cascading.\n- 🔐 **Per-agent isolation** — private by default. Explicit `owner`/`readers`/`writers`. Mode A (shared collection) or Mode B (dedicated collection).\n- 🀄 **Chinese-optimized** & local embeddings (Transformers.js) — no Python, no external embedding API.\n\n→ Full feature list & internals: **[@amemhq/core README](../amem-core)** · **[docs](https://amem.owo.lc)**.\n\n## Requirements\n\n- OpenClaw v2026.4+\n- Node.js 24 (18+ works, 24/26 supported)\n- Qdrant running on `:6333`\n- An LLM: `ANTHROPIC_API_KEY` by default, or any OpenAI-compatible provider — see [LLM provider](#llm-provider)\n- ~1.1 GB of disk for the embedding model, downloaded once on first run\n\n## Installation\n\n### 1. Install the plugin\n\n```bash\n# From ClawHub (recommended)\nopenclaw plugins install clawhub:openclaw-amem\n\n# From npm\nopenclaw plugins install openclaw-amem\n\n# From a local checkout of the amem monorepo\npnpm --filter openclaw-amem build\nopenclaw plugins install --link ./packages/openclaw-amem\n```\n\nUpdating:\n\n```bash\nopenclaw plugins update openclaw-amem\n```\n\nThe gateway does not load the new build until it restarts. Run `openclaw gateway restart` after the update.\n\nAn update rebuilds `node_modules`. The model cache lives there by default, so the plugin re-downloads 2.27 GB unless `AMEM_MODEL_CACHE` points somewhere outside the plugin directory. Set that once and updates cost nothing.\n\n### 2. Configure `~/.openclaw/openclaw.json`\n\nAdd `openclaw-amem` to your allowed plugins and hook it into the `memory` slot:\n\n```json\n{\n \"plugins\": {\n \"allow\": [\"openclaw-amem\"],\n \"entries\": {\n \"openclaw-amem\": {\n \"enabled\": true,\n \"config\": {\n \"agentId\": \"main\",\n \"topK\": 5\n }\n }\n },\n \"slots\": {\n \"memory\": \"openclaw-amem\"\n }\n }\n}\n```\n\n> **⚠️ Memory slot conflict:** If your `openclaw.json` already assigns the `memory` slot to another plugin (for example, `memory-core`), you **must** change it to `openclaw-amem`. On OpenClaw 2026.8.1 the slot alone is not enough. The other plugin still loads and takes the `memory_search` tool name, because the gateway loads built-in plugins before installed ones. Memory keeps working through the slot, but the tool an agent calls is then the other plugin's. Set `\"memory-core\": { \"enabled\": false }` in `entries` as well. Note that `memory-core` also writes its dream diary, and disabling it stops that too.\n\n### 3. Restart OpenClaw\n\n```bash\nopenclaw gateway restart\n```\n\nFirst run downloads the embedding model (`bge-m3`, 2.27 GB) and caches it. Later\nrestarts are instant. If that is too much, the only smaller model worth setting is\n`AMEM_EMBED_MODEL=Xenova/bge-small-zh-v1.5` — 25 MB, Chinese only, and it caps at\n512 tokens. Set it **before** you have memories, because changing it afterwards means\na [migration](https://amem.owo.lc/reference/embedding-models#changing-the-model-on-a-store-you-already-have).\n\nUpgrading from 1.x downloads nothing. Your existing memories keep the model that\nbuilt them, and the plugin shows this at startup along with the one command that\nmoves them.\n\n## LLM provider\n\nThe plugin calls an LLM for note construction, linking, and evolution. Pick the backend with `AMEM_LLM_PROVIDER`:\n\n- **`anthropic`** (default) — the Anthropic Messages API. Set `ANTHROPIC_API_KEY`.\n- **`openai`** — the OpenAI Chat Completions API, which every OpenAI-compatible endpoint speaks. Set `AMEM_LLM_PROVIDER=openai`, point `AMEM_LLM_BASE_URL` at the endpoint, and set `AMEM_LLM_API_KEY` (or the standard `OPENAI_API_KEY`). Covers **OpenAI, DeepSeek, OpenRouter, Groq, Together**, and local servers (**Ollama, vLLM, LM Studio** — no key needed). The plugin handles reasoning models (`o1`, `o3`, `gpt-5`) automatically.\n\nChoose the model with `AMEM_LLM_MODEL`. Full env-var reference and examples: **[amem.owo.lc/reference/configuration](https://amem.owo.lc/reference/configuration)**.\n\n## Configuration Reference\n\n| Key | Type | Default | Description |\n| ------------------------------- | ----------------------------------------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------- |\n| `agentId` | `string` | `\"main\"` | Agent namespace for memory isolation |\n| `topK` | `number` | `5` | Maximum memories to retrieve during search |\n| `agents` | `Record` | `{}` | Per-agent overrides. Set `collection` for Mode B physical isolation. |\n| `hooks.allowConversationAccess` | `boolean` | `false` | **Required** for automatic memory write-back. Without it, the `agent_end` hook is silently blocked by OpenClaw's security policy. |\n\n## Tools\n\nOnce installed, the plugin exposes five tools to the agent:\n\n| Tool | What it does |\n| --- | --- |\n| `memory_add` | Write a memory — hash dedup, LLM note construction, bidirectional linking, evolution. |\n| `memory_search` | Search via RRF (BM25 + cosine) with heat ranking + 2-hop BFS graph expansion. Accepts `topicsFilter`. |\n| `memory_list` | Total active note count for the current agent namespace. |\n| `memory_consolidate` | Manually trigger category-based semantic dedup + link cascading. |\n| `memory_quality_scan` | Scan for low-quality/expired/conflicting notes → Obsidian-compatible review batch file. |\n\n## Security & data flow\n\nA memory plugin's job is to read configuration from the environment and send memory data to backends **you** control, so registry static scanners flag its `env` + `network` pattern (for example, ClawHub's `suspicious.env_credential_access`). This is structurally expected for any configurable memory/LLM plugin. The audit outcome is **advisory (`Review`), not `Malicious`**, and VirusTotal reports the bundle clean.\n\nWhat it actually does — all of it declared in [`openclaw.plugin.json`](openclaw.plugin.json):\n\n- **Environment variables it reads** (its configuration surface, supplied by you): `AMEM_LLM_PROVIDER`, `AMEM_LLM_API_KEY`, `OPENAI_API_KEY`, `AMEM_LLM_BASE_URL`, `AMEM_LLM_MODEL`, `AMEM_COLLECTION`, `AMEM_DATA_DIR`, `AMEM_EVO_COUNTER_PATH`, `AMEM_REVIEW_DIR`, `AMEM_PROMPT_LOCALE`. No credential is bundled, hardcoded, or logged.\n- **Network destinations**: only your **local Qdrant** (`http://localhost:6333`) and your configured **LLM endpoint** (Anthropic by default, or any OpenAI-compatible endpoint via `AMEM_LLM_PROVIDER=openai` + `AMEM_LLM_BASE_URL`). It sends memory text/embeddings there to store and evolve notes — its stated purpose. It does not phone home.\n- The plugin processes **conversation content** for memory only when you set `hooks.allowConversationAccess: true`. Keep Qdrant and review-output paths scoped to locations you control.\n\n## Development\n\nThis package is part of the **[amem monorepo](../../)**. From the repo root:\n\n```bash\npnpm install\npnpm -r build # build all packages\npnpm --filter openclaw-amem build # build just the plugin\npnpm --filter openclaw-amem test # vitest (needs Qdrant on :6333)\n```\n\n## Docs & References\n\nFull guides, architecture, and academic references: **[amem.owo.lc](https://amem.owo.lc)** · engine: **[@amemhq/core](../amem-core)** · paper: [A-MEM (arXiv:2502.12110)](https://arxiv.org/abs/2502.12110).\n\n## License\n\nMIT\n","readmeFilename":""}
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