New Script: Hindsight LXC

ct/hindsight.sh

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+#!/usr/bin/env bash
+_CS_DEFAULT_URL="https://raw.githubusercontent.com/community-scripts/DevScripts/main"
+_cs_boot="${COMMUNITY_SCRIPTS_CORE_DIR:-$(dirname "${BASH_SOURCE[0]}")/../../core}/core/build.func"
+source "$_cs_boot" 2>/dev/null || source <(curl -fsSL "${COMMUNITY_SCRIPTS_CORE_URL:-https://raw.githubusercontent.com/community-scripts/core/main}/core/build.func")
+
+# Copyright (c) 2021-2026 community-scripts ORG
+# Author: andy-vdg
+# License: MIT | https://github.com/community-scripts/DevScripts/raw/main/LICENSE
+# Source: https://hindsight.vectorize.io/
+
+APP="Hindsight"
+var_tags="${var_tags:-ai;memory;mcp}"
+var_cpu="${var_cpu:-2}"
+var_ram="${var_ram:-2048}"
+var_disk="${var_disk:-12}"
+var_os="${var_os:-debian}"
+var_version="${var_version:-13}"
+#var_arm64="${var_arm64:-no}" # unset = ask the user; set yes/no only when verified
+var_unprivileged="${var_unprivileged:-1}"
+
+export var_llm_provider="${var_llm_provider:-}"
+export var_llm_api_key="${var_llm_api_key:-}"
+export var_llm_model="${var_llm_model:-}"
+export var_llm_base_url="${var_llm_base_url:-}"
+
+header_info "$APP"
+variables
+color
+catch_errors
+
+function update_script() {
+  header_info
+  check_container_storage
+  check_container_resources
+
+  if [[ ! -d /opt/hindsight ]]; then
+    msg_error "No Hindsight Installation Found!"
+    exit
+  fi
+
+  if check_for_gh_release "hindsight" "vectorize-io/hindsight"; then
+    msg_info "Stopping Hindsight"
+    systemctl stop hindsight
+    msg_ok "Stopped Hindsight"
+
+    CLEAN_INSTALL=1 fetch_and_deploy_gh_release "hindsight" "vectorize-io/hindsight" "tarball"
+    PYTHON_VERSION="3.11" UV_PROJECT_DIR="/opt/hindsight" setup_uv
+
+    msg_info "Updating Python Environment"
+    cd /opt/hindsight
+    $STD uv sync --locked --package hindsight-api-slim --extra local-ml
+    msg_ok "Updated Python Environment"
+
+    msg_info "Starting Hindsight"
+    systemctl start hindsight
+    msg_ok "Started Hindsight"
+    msg_ok "Updated successfully!"
+  fi
+  exit
+}
+
+start
+build_container
+description
+
+msg_ok "Completed Successfully!\n"
+echo -e "${CREATING}${GN}${APP} setup has been successfully initialized!${CL}"
+echo -e "${INFO}${YW}Access the API and its interactive docs using the following URL:${CL}"
+echo -e "${GATEWAY}${BGN}http://${IP}:8888/docs${CL}"
+echo -e "${INFO}${YW}API key: ~/hindsight.creds (inside the container)${CL}"

install/hindsight-install.sh

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+#!/usr/bin/env bash
+
+# Copyright (c) 2021-2026 community-scripts ORG
+# Author: andy-vdg
+# License: MIT | https://github.com/community-scripts/DevScripts/raw/main/LICENSE
+# Source: https://hindsight.vectorize.io/
+
+source /dev/stdin <<<"$FUNCTIONS_FILE_PATH"
+color
+verb_ip6
+catch_errors
+setting_up_container
+network_check
+update_os
+
+PG_VERSION="18" PG_MODULES="pgvector" setup_postgresql
+PG_DB_NAME="hindsight" PG_DB_USER="hindsight" PG_DB_EXTENSIONS="vector,pg_trgm,btree_gin" setup_postgresql_db
+fetch_and_deploy_gh_release "hindsight" "vectorize-io/hindsight" "tarball"
+PYTHON_VERSION="3.11" UV_PROJECT_DIR="/opt/hindsight" setup_uv
+
+msg_info "Setting up Python Environment"
+cd /opt/hindsight
+$STD uv sync --locked --package hindsight-api-slim --extra local-ml
+msg_ok "Set up Python Environment"
+
+msg_info "Downloading Embedding and Reranker Models"
+mkdir -p /opt/hindsight_data
+HOME=/opt/hindsight_data $STD /opt/hindsight/.venv/bin/python -c "from sentence_transformers import SentenceTransformer, CrossEncoder; SentenceTransformer('BAAI/bge-small-en-v1.5'); CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')"
+msg_ok "Downloaded Embedding and Reranker Models"
+
+msg_info "Configuring Hindsight"
+API_KEY=$(random_password 48)
+cat <<EOF >/opt/hindsight.env
+HINDSIGHT_API_HOST=0.0.0.0
+HINDSIGHT_API_PORT=8888
+HINDSIGHT_API_DATABASE_URL=postgresql://${PG_DB_USER}:${PG_DB_PASS}@127.0.0.1:5432/${PG_DB_NAME}
+HINDSIGHT_API_TENANT_EXTENSION=hindsight_api.extensions.builtin.tenant:ApiKeyTenantExtension
+HINDSIGHT_API_TENANT_API_KEY=${API_KEY}
+HINDSIGHT_API_LLM_PROVIDER=${var_llm_provider:-none}
+HINDSIGHT_API_LLM_API_KEY=${var_llm_api_key:-}
+HINDSIGHT_API_LLM_MODEL=${var_llm_model:-}
+HINDSIGHT_API_LLM_BASE_URL=${var_llm_base_url:-}
+TRANSFORMERS_VERBOSITY=error
+HF_HUB_VERBOSITY=error
+TOKENIZERS_PARALLELISM=false
+EOF
+sed -i '/=$/d' /opt/hindsight.env
+chmod 600 /opt/hindsight.env
+cat <<EOF >>~/hindsight.creds
+
+Hindsight API Key: ${API_KEY}
+EOF
+chmod 600 ~/hindsight.creds
+msg_ok "Configured Hindsight"
+
+msg_info "Creating Service"
+cat <<EOF >/etc/systemd/system/hindsight.service
+[Unit]
+Description=Hindsight API
+Wants=network-online.target
+After=network-online.target postgresql.service
+Requires=postgresql.service
+
+[Service]
+Type=simple
+User=root
+WorkingDirectory=/opt/hindsight_data
+Environment=HOME=/opt/hindsight_data
+Environment=PYTHONUNBUFFERED=1
+EnvironmentFile=/opt/hindsight.env
+ExecStart=/opt/hindsight/.venv/bin/hindsight-api
+Restart=on-failure
+RestartSec=10
+
+[Install]
+WantedBy=multi-user.target
+EOF
+systemctl enable -q --now hindsight
+msg_ok "Created Service"
+
+if [[ -z "${var_llm_provider:-}" ]]; then
+  msg_warn "No LLM configured: Hindsight stores plain chunks only. Set HINDSIGHT_API_LLM_PROVIDER and its key in /opt/hindsight.env, then run systemctl restart hindsight"
+fi
+
+motd_ssh
+customize
+cleanup_lxc

json/hindsight.json

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+{
+  "name": "Hindsight",
+  "slug": "hindsight",
+  "categories": [
+    20
+  ],
+  "date_created": "2026-10-31",
+  "type": "ct",
+  "updateable": true,
+  "privileged": false,
+  "interface_port": 8888,
+  "documentation": "https://hindsight.vectorize.io/developer/installation",
+  "website": "https://hindsight.vectorize.io/",
+  "repository": "https://github.com/vectorize-io/hindsight",
+  "architectures": ["amd64"],
+  "platforms": ["pve"],
+  "logo": "https://cdn.jsdelivr.net/gh/selfhst/icons@main/webp/hindsight.webp",
+  "description": "Hindsight is an open-source memory server for AI agents. Agents retain conversations and documents into memory banks, then recall facts, entities and their history, or reflect on them, through a REST API, SDKs and an MCP server.",
+  "install_methods": [
+    {
+      "type": "default",
+      "script": "ct/hindsight.sh",
+      "config_path": "/opt/hindsight.env",
+      "resources": {
+        "cpu": 2,
+        "ram": 2048,
+        "hdd": 12,
+        "os": "Debian",
+        "version": "13"
+      }
+    }
+  ],
+  "default_credentials": {
+    "username": null,
+    "password": null
+  },
+  "app_vars": [
+    {
+      "name": "var_llm_provider",
+      "label": "LLM Provider",
+      "type": "text",
+      "help": "Empty for none: memories are stored as plain chunks, without fact extraction or reflect. Otherwise openai, anthropic, gemini, groq, ollama, lmstudio and others; see https://hindsight.vectorize.io/developer/models"
+    },
+    {
+      "name": "var_llm_api_key",
+      "label": "LLM API Key",
+      "type": "password",
+      "secret": true,
+      "help": "Not needed for ollama or lmstudio"
+    },
+    {
+      "name": "var_llm_model",
+      "label": "LLM Model",
+      "type": "text",
+      "help": "Empty for the provider's default model"
+    },
+    {
+      "name": "var_llm_base_url",
+      "label": "LLM Base URL",
+      "type": "text",
+      "help": "Empty for the provider's default. For a local LLM, e.g. the Ollama script's container: http://<ollama-ip>:11434/v1"
+    }
+  ],
+  "notes": [
+    {
+      "text": "The API key is saved to `~/hindsight.creds` inside the container. Send it as `Authorization: Bearer <key>` to the API and the MCP endpoint.",
+      "type": "info"
+    },
+    {
+      "text": "Without an LLM, Hindsight stores plain chunks only. Set the provider, key and model in `/opt/hindsight.env`, then run `systemctl restart hindsight`.",
+      "type": "info"
+    }
+  ]
+}