--- sidebar_position: 10 title: "Hermes Agent Persistent Memory with Hindsight | Integration" description: "Add long-term memory to Hermes Agent with Hindsight. Automatically recalls context before every LLM call and retains conversations for future sessions." --- # Hermes Agent Persistent long-term memory for [Hermes Agent](https://github.com/NousResearch/hermes-agent) using [Hindsight](https://vectorize.io/hindsight). Automatically recalls relevant context before every LLM call and retains conversations for future sessions — plus explicit retain/recall/reflect tools. ## Quick Start ```bash # 1. Install the plugin into Hermes's Python environment uv pip install hindsight-hermes --python $HOME/.hermes/hermes-agent/venv/bin/python # 2. Configure (choose one) # Option A: Config file (recommended) mkdir -p ~/.hindsight cat > ~/.hindsight/hermes.json << 'EOF' { "hindsightApiUrl": "http://localhost:9077", "bankId": "hermes" } EOF # Option B: Environment variables export HINDSIGHT_API_URL=http://localhost:9077 export HINDSIGHT_BANK_ID=hermes # 3. Start Hermes — the plugin activates automatically hermes ``` ## Features - **Auto-recall** — on every turn, queries Hindsight for relevant memories and injects them into the system prompt (via `pre_llm_call` hook) - **Auto-retain** — after every response, retains the user/assistant exchange to Hindsight (via `post_llm_call` hook) - **Explicit tools** — `hindsight_retain`, `hindsight_recall`, `hindsight_reflect` for direct model control - **Config file** — `~/.hindsight/hermes.json` with the same field names as openclaw and claude-code integrations - **Zero config overhead** — env vars still work as overrides for CI/automation :::note The lifecycle hooks (`pre_llm_call`/`post_llm_call`) require hermes-agent with [PR #2823](https://github.com/NousResearch/hermes-agent/pull/2823) or later. On older versions, only the three tools are registered — hooks are silently skipped. ::: ## Architecture The plugin registers via Hermes's `hermes_agent.plugins` entry point system: | Component | Purpose | |-----------|---------| | `pre_llm_call` hook | **Auto-recall** — query memories, inject as ephemeral system prompt context | | `post_llm_call` hook | **Auto-retain** — store user/assistant exchange to Hindsight | | `hindsight_retain` tool | Explicit memory storage (model-initiated) | | `hindsight_recall` tool | Explicit memory search (model-initiated) | | `hindsight_reflect` tool | LLM-synthesized answer from stored memories | ## Connection Modes ### 1. External API (recommended for production) Connect to a running Hindsight server (cloud or self-hosted). No local LLM needed — the server handles fact extraction. ```json { "hindsightApiUrl": "https://your-hindsight-server.com", "hindsightApiToken": "your-token", "bankId": "hermes" } ``` ### 2. Local Daemon If you're running `hindsight-embed` locally, point to it: ```json { "hindsightApiUrl": "http://localhost:9077", "bankId": "hermes" } ``` Follow the [Quick Start](/developer/api/quickstart) guide to get the Hindsight API running. ## Configuration All settings are in `~/.hindsight/hermes.json`. Every setting can also be overridden via environment variables (env vars take priority). ### Connection & Daemon | Setting | Default | Env Var | Description | |---------|---------|---------|-------------| | `hindsightApiUrl` | — | `HINDSIGHT_API_URL` | Hindsight API URL | | `hindsightApiToken` | `null` | `HINDSIGHT_API_TOKEN` / `HINDSIGHT_API_KEY` | Auth token for API | | `apiPort` | `9077` | `HINDSIGHT_API_PORT` | Port for local Hindsight daemon | | `daemonIdleTimeout` | `0` | `HINDSIGHT_DAEMON_IDLE_TIMEOUT` | Seconds before idle daemon shuts down (0 = never) | | `embedVersion` | `"latest"` | `HINDSIGHT_EMBED_VERSION` | `hindsight-embed` version for `uvx` | ### LLM Provider (daemon mode only) | Setting | Default | Env Var | Description | |---------|---------|---------|-------------| | `llmProvider` | auto-detect | `HINDSIGHT_LLM_PROVIDER` | LLM provider: `openai`, `anthropic`, `gemini`, `groq`, `ollama` | | `llmModel` | provider default | `HINDSIGHT_LLM_MODEL` | Model override | ### Memory Bank | Setting | Default | Env Var | Description | |---------|---------|---------|-------------| | `bankId` | — | `HINDSIGHT_BANK_ID` | Memory bank ID | | `bankMission` | `""` | `HINDSIGHT_BANK_MISSION` | Agent identity/purpose for the memory bank | | `retainMission` | `null` | — | Custom retain mission (what to extract from conversations) | | `bankIdPrefix` | `""` | — | Prefix for all bank IDs | ### Auto-Recall | Setting | Default | Env Var | Description | |---------|---------|---------|-------------| | `autoRecall` | `true` | `HINDSIGHT_AUTO_RECALL` | Enable automatic memory recall via `pre_llm_call` hook | | `recallBudget` | `"mid"` | `HINDSIGHT_RECALL_BUDGET` | Recall effort: `low`, `mid`, `high` | | `recallMaxTokens` | `4096` | `HINDSIGHT_RECALL_MAX_TOKENS` | Max tokens in recall response | | `recallMaxQueryChars` | `800` | `HINDSIGHT_RECALL_MAX_QUERY_CHARS` | Max chars of user message used as query | | `recallPromptPreamble` | see below | — | Header text injected before recalled memories | Default preamble: > Relevant memories from past conversations (prioritize recent when conflicting). Only use memories that are directly useful to continue this conversation; ignore the rest: ### Auto-Retain | Setting | Default | Env Var | Description | |---------|---------|---------|-------------| | `autoRetain` | `true` | `HINDSIGHT_AUTO_RETAIN` | Enable automatic retention via `post_llm_call` hook | | `retainEveryNTurns` | `1` | — | Retain every Nth turn | | `retainOverlapTurns` | `2` | — | Extra overlap turns for continuity | | `retainRoles` | `["user", "assistant"]` | — | Which message roles to retain | ### Miscellaneous | Setting | Default | Env Var | Description | |---------|---------|---------|-------------| | `debug` | `false` | `HINDSIGHT_DEBUG` | Enable debug logging to stderr | ## Hermes Gateway (Telegram, Discord, Slack) When using Hermes in gateway mode (multi-platform messaging), the plugin works across all platforms. Hermes creates a fresh `AIAgent` per message, and the plugin's `pre_llm_call` hook ensures relevant memories are recalled for each turn regardless of platform. ## Disabling Hermes's Built-in Memory Hermes has a built-in `memory` tool that saves to local markdown files. If both are active, the LLM may prefer the built-in one. Disable it: ```bash hermes tools disable memory ``` Re-enable later with `hermes tools enable memory`. ## Troubleshooting **Plugin not loading**: Verify the entry point is registered: ```bash python -c " import importlib.metadata eps = importlib.metadata.entry_points(group='hermes_agent.plugins') print(list(eps)) " ``` You should see `EntryPoint(name='hindsight', value='hindsight_hermes', ...)`. **Tools don't appear in `/tools`**: Check that `hindsightApiUrl` (or `HINDSIGHT_API_URL`) is set. The plugin silently skips registration when unconfigured. **Connection refused**: Verify the Hindsight API is running: ```bash curl http://localhost:9077/health ``` **Recall returning no memories**: Memories need at least one retain cycle. Try storing a fact first, then asking about it in a new session.