--- sidebar_position: 4 --- # OpenClaw Local, long term memory for [OpenClaw](https://openclaw.ai) agents using [Hindsight](https://vectorize.io/hindsight). This plugin integrates [hindsight-embed](https://vectorize.io/hindsight/cli), a standalone daemon that bundles Hindsight's memory engine (API + PostgreSQL) into a single command. Everything runs locally on your machine, reuses the LLM you're already paying for, and costs nothing extra. [View Changelog →](/changelog/integrations/openclaw) ## Quick Start **Step 1: Set up LLM for memory extraction** Choose one provider and set its API key: ```bash # Option A: OpenAI (uses gpt-4o-mini for memory extraction) export OPENAI_API_KEY="sk-your-key" # Option B: Anthropic (uses claude-3-5-haiku for memory extraction) export ANTHROPIC_API_KEY="your-key" # Option C: Gemini (uses gemini-2.5-flash for memory extraction) export GEMINI_API_KEY="your-key" # Option D: Groq (uses openai/gpt-oss-20b for memory extraction) export GROQ_API_KEY="your-key" # Option E: Claude Code (uses claude-sonnet-4-20250514, no API key needed) export HINDSIGHT_API_LLM_PROVIDER=claude-code # Option F: OpenAI Codex (uses gpt-4o-mini, no API key needed) export HINDSIGHT_API_LLM_PROVIDER=openai-codex ``` **Step 2: Install the plugin** ```bash openclaw plugins install @vectorize-io/hindsight-openclaw ``` **Step 3: Start OpenClaw** ```bash openclaw gateway ``` The plugin will automatically: - Start a local Hindsight daemon (port 9077) - Capture conversations after each turn - Inject relevant memories before agent responses **Important:** The LLM you configure above is **only for memory extraction** (background processing). Your main OpenClaw agent can use any model you configure separately. ## How It Works **Auto-Capture:** Every conversation is automatically stored after each turn. Facts, entities, and relationships are extracted in the background. **Auto-Recall:** Before each agent response, relevant memories are automatically injected into the context (up to 1024 tokens). The agent uses past context without needing to call tools. **Feedback Loop Prevention:** The plugin automatically strips injected memory tags (``) before storing conversations. This prevents recalled memories from being re-extracted as new facts, which would cause exponential memory growth and duplicate entries. Traditional memory systems give agents a `search_memory` tool - but models don't use it consistently. Auto-recall solves this by injecting memories automatically before every turn. ## Configuration ### Plugin Settings Optional settings in `~/.openclaw/openclaw.json`: ```json { "plugins": { "entries": { "hindsight-openclaw": { "enabled": true, "config": { "apiPort": 9077, "daemonIdleTimeout": 0, "embedVersion": "latest" } } } } } ``` **Options:** - `apiPort` - Port for the openclaw profile daemon (default: `9077`) - `daemonIdleTimeout` - Seconds before daemon shuts down from inactivity (default: `0` = never) - `embedVersion` - hindsight-embed version (default: `"latest"`) - `bankMission` - Agent identity/purpose stored on the memory bank. Helps the memory engine understand context for better fact extraction during retain. Set once per bank on first use — not a recall prompt. - `dynamicBankId` - Enable per-context memory banks (default: `true`) - `bankIdPrefix` - Optional prefix for bank IDs (e.g. `"prod"` → `"prod-slack-C123"`) - `dynamicBankGranularity` - Fields used to derive bank ID: `agent`, `channel`, `user`, `provider` (default: `["agent", "channel", "user"]`) - `excludeProviders` - Message providers to skip for recall/retain (e.g. `["slack"]`, `["telegram"]`, `["discord"]`) - `autoRecall` - Auto-inject memories before each turn (default: `true`). Set to `false` when the agent has its own recall tool. - `autoRetain` - Auto-retain conversations after each turn (default: `true`) - `retainRoles` - Which message roles to retain (default: `["user", "assistant"]`). Options: `user`, `assistant`, `system`, `tool` - `recallBudget` - Recall effort: `"low"`, `"mid"`, or `"high"` (default: `"mid"`). Higher budgets use more retrieval strategies for better results. - `recallMaxTokens` - Max tokens for recall response (default: `1024`). Controls how much memory context is injected per turn. ### Memory Isolation The plugin creates separate memory banks based on conversation context. By default, banks are derived from the `agent`, `channel`, and `user` fields — so each unique combination gets its own isolated memory store. You can customize which fields are used for bank segmentation with `dynamicBankGranularity`: ```json { "plugins": { "entries": { "hindsight-openclaw": { "enabled": true, "config": { "dynamicBankGranularity": ["provider", "user"] } } } } } ``` In this example, memories are isolated per provider + user, meaning the same user shares memories across all channels within a provider. Available isolation fields: - `agent` - The agent/bot identity - `channel` - The channel or conversation ID - `user` - The user interacting with the agent - `provider` - The message provider (e.g. Slack, Discord) Use `bankIdPrefix` to namespace bank IDs across environments (e.g. `"prod"`, `"staging"`). Set `dynamicBankId` to `false` to use a single shared bank for all conversations. ### Retention Controls By default, the plugin retains `user` and `assistant` messages after each turn. You can customize this behavior: ```json { "plugins": { "entries": { "hindsight-openclaw": { "enabled": true, "config": { "autoRetain": true, "retainRoles": ["user", "assistant", "system"] } } } } } ``` - `autoRetain` - Set to `false` to disable automatic retention entirely (useful if you handle retention yourself) - `retainRoles` - Controls which message roles are included in the retained transcript. Only messages from the last user message onward are retained each turn, preventing duplicate storage. ### LLM Configuration The plugin auto-detects your LLM provider from these environment variables: | Provider | Env Var | Default Model | Notes | |----------|---------|---------------|-------| | OpenAI | `OPENAI_API_KEY` | `gpt-4o-mini` | | | Anthropic | `ANTHROPIC_API_KEY` | `claude-3-5-haiku-20241022` | | | Gemini | `GEMINI_API_KEY` | `gemini-2.5-flash` | | | Groq | `GROQ_API_KEY` | `openai/gpt-oss-20b` | | | Claude Code | `HINDSIGHT_API_LLM_PROVIDER=claude-code` | `claude-sonnet-4-20250514` | No API key needed | | OpenAI Codex | `HINDSIGHT_API_LLM_PROVIDER=openai-codex` | `gpt-4o-mini` | No API key needed | **Override with explicit config:** ```bash export HINDSIGHT_API_LLM_PROVIDER=openai export HINDSIGHT_API_LLM_MODEL=gpt-4o-mini export HINDSIGHT_API_LLM_API_KEY=sk-your-key # Optional: custom base URL (OpenRouter, Azure, vLLM, etc.) export HINDSIGHT_API_LLM_BASE_URL=https://openrouter.ai/api/v1 ``` **Example: Free OpenRouter model** ```bash export HINDSIGHT_API_LLM_PROVIDER=openai export HINDSIGHT_API_LLM_MODEL=xiaomi/mimo-v2-flash # FREE! export HINDSIGHT_API_LLM_API_KEY=sk-or-v1-your-openrouter-key export HINDSIGHT_API_LLM_BASE_URL=https://openrouter.ai/api/v1 ``` ### External API (Advanced) Connect to a remote Hindsight API server instead of running a local daemon. This is useful for: - **Shared memory** across multiple OpenClaw instances - **Production deployments** with centralized memory storage - **Team environments** where agents share knowledge #### Plugin Configuration Configure in `~/.openclaw/openclaw.json`: ```json { "plugins": { "entries": { "hindsight-openclaw": { "enabled": true, "config": { "hindsightApiUrl": "https://your-hindsight-server.com", "hindsightApiToken": "your-api-token" } } } } } ``` **Options:** - `hindsightApiUrl` - Full URL to external Hindsight API (e.g., `https://mcp.hindsight.example.com`) - `hindsightApiToken` - API token for authentication (optional, only if API requires auth) #### Environment Variables (Alternative) You can also configure via environment variables: ```bash export HINDSIGHT_EMBED_API_URL=https://your-hindsight-server.com export HINDSIGHT_EMBED_API_TOKEN=your-api-token # Optional openclaw gateway ``` **Note:** Plugin config takes precedence over environment variables. #### Behavior When external API mode is enabled: - **No local daemon** is started (no hindsight-embed process) - **Health check** runs on startup to verify API connectivity - **All memory operations** (retain, recall, reflect) go to the external API - **Faster startup** since no local PostgreSQL or embedding models are needed #### Verification Check OpenClaw logs for external API mode: ```bash tail -f /tmp/openclaw/openclaw-*.log | grep Hindsight # Should see on startup: # [Hindsight] External API mode enabled: https://your-hindsight-server.com # [Hindsight] External API health check passed ``` If you see daemon startup messages instead, verify your configuration is correct. ## Inspecting Memories ### Check Configuration View the daemon config that was written by the plugin: ```bash cat ~/.hindsight/profiles/openclaw.env ``` This shows the LLM provider, model, port, and other settings the daemon is using. ### Check Daemon Status ```bash # Check if daemon is running uvx hindsight-embed@latest -p openclaw daemon status # View daemon logs tail -f ~/.hindsight/profiles/openclaw.log ``` ### Query Memories ```bash # Search memories uvx hindsight-embed@latest -p openclaw memory recall openclaw "user preferences" # View recent memories uvx hindsight-embed@latest -p openclaw memory list openclaw --limit 10 # Open web UI (uses openclaw profile's daemon) uvx hindsight-embed@latest -p openclaw ui ``` ## Troubleshooting ### Plugin not loading ```bash openclaw plugins list | grep hindsight # Should show: ✓ enabled │ Hindsight Memory │ ... # Reinstall if needed openclaw plugins install @vectorize-io/hindsight-openclaw ``` ### Daemon not starting ```bash # Check daemon status (note: -p openclaw uses the openclaw profile) uvx hindsight-embed@latest -p openclaw daemon status # View logs for errors tail -f ~/.hindsight/profiles/openclaw.log # Check configuration cat ~/.hindsight/profiles/openclaw.env # List all profiles uvx hindsight-embed@latest profile list ``` ### No API key error Make sure you've set one of the provider API keys (or use a provider that doesn't require one): ```bash # Option 1: OpenAI export OPENAI_API_KEY="sk-your-key" # Option 2: Anthropic export ANTHROPIC_API_KEY="your-key" # Option 3: Claude Code (no API key needed) export HINDSIGHT_API_LLM_PROVIDER=claude-code # Option 4: OpenAI Codex (no API key needed) export HINDSIGHT_API_LLM_PROVIDER=openai-codex # Verify it's set echo $OPENAI_API_KEY # or echo $HINDSIGHT_API_LLM_PROVIDER ``` ### Verify it's working Check gateway logs for memory operations: ```bash tail -f /tmp/openclaw/openclaw-*.log | grep Hindsight # Should see on startup: # [Hindsight] ✓ Using provider: openai, model: gpt-4o-mini # or # [Hindsight] ✓ Using provider: claude-code, model: claude-sonnet-4-20250514 # Should see after conversations: # [Hindsight] Retained X messages for session ... # [Hindsight] Auto-recall: Injecting X memories ```