# Research Task: OpenClaw Features & Configuration

## Research Focus
Analyze the full OpenClaw documentation and our current deployment to find:

1. FEATURES WE'RE NOT USING: What OpenClaw can do that we haven't enabled?
   - Automation: hooks, standing orders, task flows, background tasks
   - Memory: active memory, memory search tuning, wiki compilation
   - Security: sandboxing, elevated mode, exec approvals, secrets management
   - Agent: model failover chains, thinking levels, session management
   - Channels: broadcast groups, channel routing, pairing
   - Tools: browser, code execution, image generation, TTS, voice
   - Plugins: community plugins, plugin bundles, ACP harnesses
   - Monitoring: health checks, retry policies, presence

2. CONFIG IMPROVEMENTS: What changes to openclaw.json would improve our setup?
   - Model failover chains (we only have kimi-k2.5 as fallback)
   - Session pruning / compaction settings
   - Memory search provider tuning
   - Tool policy adjustments
   - Heartbeat configuration
   - Wiki configuration

3. SECURITY GAPS: Any hardening we're missing?
   - Sandbox vs tool policy
   - Exec approval patterns
   - Secrets management
   - Network exposure

4. PERFORMANCE: Optimizations for our tri-node architecture
   - Prompt caching
   - Streaming settings
   - Context engine tuning
   - Token use optimization

5. SKILLS ECOSYSTEM: What ClawHub skills should we install?
   - Search for skills relevant to: home automation, document management, monitoring, productivity


## Current Setup Context
Our deployment:
- Beelink (titanium-butler): Ubuntu 24.04, runs OpenClaw gateway
- Gaming PC (3080 Ti): Ollama with qwen2.5-coder:7b, qwen3-vl:8b, nomic-embed-text, phi4:14b, gemma4
- Cloud: GLM 5.1 via Ollama Pro (primary reasoning)
- Telegram: DM + 1 family group
- Family Assistant: email→calendar pipeline, intent engine, RAG brain, maintenance sentinel, document sorter
- Cron: heartbeat (30min, currently disabled), daily brief (6AM, disabled), daily maintenance (7AM), weekly security (Mon 8AM)
- Wiki: isolated mode, 2 source pages, minimal entities
- Memory: MEMORY.md + daily files + wiki
- Skills: healthcheck, goplaces, blogwatcher, clawhub, and ~50 others available but mostly unused
- Channels: Telegram only
- Plugins: memory-wiki (installed), openclaw-web-search (installed)
- No browser, no TTS, no image generation configured
- Tools profile: "coding" with web search/fetch enabled


## Source Material (local)


============================================================
## Source: Current openclaw.json config
============================================================
{
  "agents": {
    "defaults": {
      "model": {
        "primary": "ollama/glm-5.1:cloud",
        "fallbacks": [
          "ollama/kimi-k2.5:cloud"
        ]
      },
      "memorySearch": {
        "provider": "ollama",
        "model": "nomic-embed-text",
        "remote": {
          "baseUrl": "http://100.104.147.116:11434"
        }
      },
      "workspace": "/home/hoffmann_admin/.openclaw/workspace",
      "models": {
        "ollama/glm-5.1:cloud": {},
        "ollama-remote/gemma4:latest": {
          "params": {
            "stream": false
          }
        },
        "ollama-remote/qwen2.5-coder:7b": {
          "params": {
            "stream": false
          }
        },
        "ollama/gemma4:26b": {
          "params": {
            "stream": false
          }
        },
        "ollama/llama3.2:3b": {}
      }
    }
  },
  "gateway": {
    "auth": {
      "mode": "token",
      "token": "d78493979063aca0e01add591c135789ff085f067bd5b4b4"
    },
    "bind": "loopback",
    "mode": "local",
    "port": 18789,
    "tailscale": {
      "mode": "off",
      "resetOnExit": false
    }
  },
  "meta": {
    "lastTouchedAt": "2026-04-17T23:27:59.672Z",
    "lastTouchedVersion": "2026.4.15"
  },
  "models": {
    "mode": "merge",
    "providers": {
      "ollama": {
        "api": "ollama",
        "baseUrl": "http://127.0.0.1:11434",
        "models": [
          {
            "id": "kimi-k2.5:cloud",
            "name": "kimi-k2.5:cloud",
            "reasoning": false,
            "input": [
              "text",
              "image"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 128000,
            "maxTokens": 8192
          },
          {
            "id": "minimax-m2.7:cloud",
            "name": "minimax-m2.7:cloud",
            "reasoning": false,
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 128000,
            "maxTokens": 8192
          },
          {
            "id": "glm-5.1:cloud",
            "name": "glm-5.1:cloud",
            "reasoning": false,
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 128000,
            "maxTokens": 8192
          },
          {
            "id": "gemma4:26b",
            "name": "gemma4:26b",
            "reasoning": false,
            "input": [
              "text",
              "image"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 262144,
            "maxTokens": 81920
          },
          {
            "id": "llama3.2:1b-instruct-q4_K_M",
            "name": "llama3.2:1b-instruct-q4_K_M",
            "reasoning": false,
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 131072,
            "maxTokens": 8192
          },
          {
            "id": "llama3.2:3b",
            "name": "llama3.2:3b",
            "reasoning": false,
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 131072,
            "maxTokens": 8192
          },
          {
            "id": "qwen3.5:4b",
            "name": "qwen3.5:4b",
            "reasoning": false,
            "input": [
              "text",
              "image"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 262144,
            "maxTokens": 8192
          },
          {
            "id": "qwen3.5:9b",
            "name": "qwen3.5:9b",
            "reasoning": false,
            "input": [
              "text",
              "image"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 262144,
            "maxTokens": 8192
          },
          {
            "id": "llama3.2:1b",
            "name": "llama3.2:1b",
            "reasoning": false,
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 131072,
            "maxTokens": 8192
          },
          {
            "id": "gemma4:31b-cloud",
            "name": "gemma4:31b-cloud",
            "reasoning": false,
            "input": [
              "text",
              "image"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 262144,
            "maxTokens": 81920
          }
        ],
        "apiKey": "OLLAMA_API_KEY"
      },
      "ollama-cloud": {
        "api": "ollama",
        "baseUrl": "https://api.ollama.com",
        "apiKey": "d9578621145549d79771664616e87dcd.4UrSawzdTfp3jaTxsnXmAOPO",
        "models": [
          {
            "id": "glm-5.1:cloud",
            "name": "glm-5.1:cloud",
            "contextWindow": 128000,
            "maxTokens": 8192
          }
        ]
      },
      "ollama-remote": {
        "api": "openai-completions",
        "baseUrl": "http://100.104.147.116:11434/v1",
        "apiKey": "dummy-key",
        "models": [
          {
            "id": "gemma4:latest",
            "name": "gemma4:latest",
            "contextWindow": 128000,
            "maxTokens": 8192
          },
          {
            "id": "qwen2.5-coder:7b",
            "name": "qwen2.5-coder:7b",
            "contextWindow": 128000,
            "maxTokens": 8192
          }
        ]
      }
    }
  },
  "plugins": {
    "allow": [
      "openclaw-web-search",
      "memory-wiki",
      "telegram",
      "ollama",
      "memory-core"
    ],
    "entries": {
      "ollama": {
        "enabled": true
      },
      "openclaw-web-search": {
        "enabled": true
      },
      "telegram": {
        "enabled": true
      },
      "memory-wiki": {
        "enabled": true,
        "config": {
          "vaultMode": "isolated",
          "bridge": {
            "enabled": false
          },
          "search": {
            "backend": "shared",
            "corpus": "all"
          },
          "render": {
            "createDashboards": true,
            "createBacklinks": true,
            "preserveHumanBlocks": true
          },
          "context": {
            "includeCompiledDigestPrompt": false
          }
        }
      }
    },
    "installs": {
      "openclaw-web-search": {
        "installPath": "/home/hoffmann_admin/.openclaw/extensions/openclaw-web-search",
        "source": "npm",
        "spec": "@ollama/openclaw-web-search@0.2.2",
        "version": "0.2.2",
        "resolvedName": "@ollama/openclaw-web-search",
        "resolvedVersion": "0.2.2",
        "resolvedSpec": "@ollama/openclaw-web-search@0.2.2",
        "integrity": "sha512-h0D3z36BH0ZDN2a9toAwO/1F2dLLpE0zkC3DgRHhA4kfO9d9eomXhmdmPKWtS612DasOX2Gla8hWWxScnfK1Ug==",
        "shasum": "c10cc9adbad7dfc181758873ebda304d54b12bf1",
        "resolvedAt": "2026-04-15T20:26:57.001Z",
        "installedAt": "2026-04-15T20:26:57.193Z"
      }
    }
  },
  "session": {
    "dmScope": "per-channel-peer"
  },
  "tools": {
    "alsoAllow": [
      "ollama_web_search",
      "ollama_web_fetch"
    ],
    "profile": "coding",
    "web": {
      "fetch": {
        "enabled": false
      },
      "search": {
        "enabled": false
      }
    }
  },
  "wizard": {
    "lastRunAt": "2026-04-15T19:27:51.775Z",
    "lastRunCommand": "configure",
    "lastRunMode": "local",
    "lastRunVersion": "2026.4.14"
  },
  "channels": {
    "telegram": {
      "enabled": true,
      "groups": {
        "*": {
          "requireMention": true,
          "allowFrom": [
            "8386527252"
          ]
        },
        "-5296734042": {
          "requireMention": false,
          "allowFrom": [
            "8386527252"
          ]
        }
      },
      "botToken": "8705120995:AAGQ8c0ZY6fCMb5eX4GIO1gMBXeyc5MHZfc",
      "dmPolicy": "allowlist",
      "allowFrom": [
        "8386527252"
      ],
      "name": "Matt"
    }
  },
  "bindings": [
    {
      "agentId": "main",
      "match": {
        "channel": "telegram",
        "accountId": "default"
      }
    }
  ],
  "auth": {
    "profiles": {
      "ollama:default": {
        "provider": "ollama",
        "mode": "api_key"
      }
    }
  }
}


[Web source needed: OpenClaw docs index (llms.txt) — https://docs.openclaw.ai/llms.txt]
[Web source needed: Active Memory concept — https://docs.openclaw.ai/concepts/active-memory.md]
[Web source needed: Hooks automation — https://docs.openclaw.ai/automation/hooks.md]
[Web source needed: Standing Orders — https://docs.openclaw.ai/automation/standing-orders.md]
[Web source needed: Model Failover — https://docs.openclaw.ai/concepts/model-failover.md]
[Web source needed: Config Reference (full) — https://docs.openclaw.ai/gateway/configuration-reference.md]
[Web source needed: Experimental Features — https://docs.openclaw.ai/concepts/experimental-features.md]
[Web source needed: Sandboxing — https://docs.openclaw.ai/gateway/sandboxing.md]
[Web source needed: Gateway Security — https://docs.openclaw.ai/gateway/security/index.md]
[Web source needed: Dreaming (idle processing) — https://docs.openclaw.ai/concepts/dreaming.md]
[Web source needed: TaskFlow — https://docs.openclaw.ai/automation/taskflow.md]
[Web source needed: Creating Skills — https://docs.openclaw.ai/tools/creating-skills.md]
[Web source needed: Session Management & Compaction — https://docs.openclaw.ai/concepts/session-management-compaction.md]
[Web source needed: Heartbeat — https://docs.openclaw.ai/gateway/heartbeat.md]
[Web source needed: Prompt Caching — https://docs.openclaw.ai/reference/prompt-caching.md]
[Web source needed: Thinking Levels — https://docs.openclaw.ai/tools/thinking.md]
[Web source needed: Retry Policy — https://docs.openclaw.ai/concepts/retry.md]
[Web source needed: ClawHub skills marketplace — https://docs.openclaw.ai/tools/clawhub.md]
[Web source needed: Memory Wiki plugin — https://docs.openclaw.ai/plugins/memory-wiki.md]
[Web source needed: Lobster (task authoring) — https://docs.openclaw.ai/tools/lobster.md]
[Web source needed: Secrets Management — https://docs.openclaw.ai/gateway/secrets.md]
[Web source needed: Agent Loop — https://docs.openclaw.ai/concepts/agent-loop.md]
[Web source needed: Sub-Agents — https://docs.openclaw.ai/tools/subagents.md]
[Web source needed: Delegate Architecture (multi-agent) — https://docs.openclaw.ai/concepts/delegate-architecture.md]

## Web Sources to Fetch
The following URLs contain key documentation. Use your web fetch tool to read each one, then synthesize:
- https://docs.openclaw.ai/llms.txt
- https://docs.openclaw.ai/concepts/active-memory.md
- https://docs.openclaw.ai/automation/hooks.md
- https://docs.openclaw.ai/automation/standing-orders.md
- https://docs.openclaw.ai/concepts/model-failover.md
- https://docs.openclaw.ai/gateway/configuration-reference.md
- https://docs.openclaw.ai/concepts/experimental-features.md
- https://docs.openclaw.ai/gateway/sandboxing.md
- https://docs.openclaw.ai/gateway/security/index.md
- https://docs.openclaw.ai/concepts/dreaming.md
- https://docs.openclaw.ai/automation/taskflow.md
- https://docs.openclaw.ai/tools/creating-skills.md
- https://docs.openclaw.ai/concepts/session-management-compaction.md
- https://docs.openclaw.ai/gateway/heartbeat.md
- https://docs.openclaw.ai/reference/prompt-caching.md
- https://docs.openclaw.ai/tools/thinking.md
- https://docs.openclaw.ai/concepts/retry.md
- https://docs.openclaw.ai/tools/clawhub.md
- https://docs.openclaw.ai/plugins/memory-wiki.md
- https://docs.openclaw.ai/tools/lobster.md
- https://docs.openclaw.ai/gateway/secrets.md
- https://docs.openclaw.ai/concepts/agent-loop.md
- https://docs.openclaw.ai/tools/subagents.md
- https://docs.openclaw.ai/concepts/delegate-architecture.md

## Instructions
1. Fetch and read ALL web source URLs listed above
2. Cross-reference with the local source material provided
3. Analyze for: features we're NOT using, configuration improvements, security gaps, performance optimizations
4. Structure your findings as:
   - **Current State**: what we have now
   - **Discoveries**: new features, configs, or capabilities we're missing
   - **Recommendations**: specific, actionable changes (ranked by impact)
   - **Security**: any hardening or risk items
   - **Quick Wins**: things we can enable in minutes with config changes
5. Be specific — cite doc sections, config keys, CLI commands
6. For each recommendation, note the effort level (config change / skill install / architecture change)

Write the complete analysis in markdown. This will be saved to a wiki page as durable knowledge.
After your analysis, include a "## DM Summary" section at the end with only the most actionable 3-5 items that Matt should know about — things requiring a decision or immediate action.