Multi-gateway chats | Friends of the Crustacean 🦞🤝 | Page 1

balmy haven Mar 5, 2026, 6:38 AM

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Bots keeps overtalking each other or looping same useless messages, what I can do about this. and context window gets way too large, I wish they wouldnt be that much consuming, even i got haiku enabled as discussion goes they are not optimized to not carry out whats not revelant anymore

sullen lionBOT Mar 5, 2026, 6:38 AM

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To help others find answers, you can mark your question as solved via Right click solution message -> Apps -> ✅ Mark Solution

ancient boltBOT Mar 5, 2026, 6:41 AM

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If you have multiple OpenClaw bots / gateways in the same Discord channel, “overtalking” is basically inevitable unless you gate them hard. And “loops” usually means you accidentally allowed bots to read other bot messages.

1) Stop bot-to-bot loops (most common fix)

In Discord, OpenClaw ignores bot-authored messages by default. Loops usually happen when you turned that back on via allowBots.

Make sure your guild/channel does not have allowBots: true. If you need to allow some bot messages, set it to mentions-only:

{
  channels: {
    discord: {
      guilds: {
        YOUR_SERVER_ID: {
          allowBots: "mentions", // or just remove it (default is: bots ignored)
          requireMention: true
        }

#

      }
    }
  }
}

Docs: https://docs.openclaw.ai/gateway/configuration-reference (see allowBots) and https://docs.openclaw.ai/channels/discord (mentions + gating)

2) Prevent “multiple bots answering the same user message”

If you’re running 2+ bots in one channel, set requireMention: true for all of them, then only mention the one you actually want to answer. Otherwise they’ll all respond to every message (even if they don’t loop with each other).

3) Stop “looping useless messages” mid-run

In chat, send stop or abort as a standalone message (no slash). That hard-interrupts the current run.
Docs: https://docs.openclaw.ai/help/faq#how-do-i-stopcancel-a-running-task

Also check your queue mode (/queue) if it feels like it’s talking over itself (multiple messages while a run is in-flight). The FAQ lists modes like collect / followup / interrupt.

#

Docs: https://docs.openclaw.ai/help/faq#why-does-it-feel-like-the-bot-ignores-rapidfire-messages

4) Keep context from ballooning (cost + “stale context”)

Use /compact before a long task (summarizes older history)
Use /new when switching topics (fresh session)
Docs: https://docs.openclaw.ai/concepts/compaction and https://docs.openclaw.ai/help/faq#im-getting-context-too-large-errors---how-do-i-reset-or-compact

If the bloat is mostly tool output, enable session pruning:
Docs: https://docs.openclaw.ai/concepts/session-pruning

If you paste:

openclaw --version
the relevant channels.discord.guilds.YOUR_SERVER_ID config block (redact tokens)
…and tell me how many gateways/bots are connected to this channel, I can point to the exact knob that’s causing the overtalk/loops.

balmy haven Mar 5, 2026, 6:46 AM

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how i can make them auto compact

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and how I can make them auto /new if they figure out that it is not related to new discussion

ancient boltBOT Mar 5, 2026, 6:47 AM

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Auto-compaction is already on by default — it kicks in when the session is getting close to the model’s context limit.

If you want it to compact earlier / more proactively, set agents.defaults.compaction in your config (JSON5) and increase the reserved token floor.

Config file location (default): ~/.openclaw/openclaw.json
Docs: https://docs.openclaw.ai/help/faq#what-format-is-the-config-where-is-it

Example:

{
  agents: {
    defaults: {
      compaction: {
        mode: "safeguard",          // safer for long histories
        reserveTokensFloor: 24000,  // bump this up to compact earlier

#

        memoryFlush: { enabled: true } // optional (extra turn before compaction)
      }
    }
  }
}

Notes:

Higher reserveTokensFloor => keeps more headroom => compacts sooner (helps avoid “context too large”).
You can still force it anytime with /compact.
If the main bloat is tool output, also enable session pruning (agents.defaults.contextPruning) — that trims old tool results without rewriting history: https://docs.openclaw.ai/concepts/session-pruning

Config reference + compaction details:

#

There isn’t a built-in “semantic topic change detector” that will automatically /new just because the model thinks your message is unrelated. That’s intentionally not automatic (it’d reset at the wrong time and be super annoying).

What you can do is make sessions auto-reset based on time, which is basically “auto /new after inactivity”:

Option A) Auto-new after N minutes idle (recommended)

Set an idle reset policy in ~/.openclaw/openclaw.json:

{
  session: {
    reset: { mode: "idle", idleMinutes: 30 } // after 30m idle, next message starts a fresh session
  }
}

If you want it only for group/channel chats (Discord channels) but keep DMs long-lived:

#

{
  session: {
    resetByType: {
      group: { mode: "idle", idleMinutes: 30 },
      direct: { mode: "idle", idleMinutes: 240 }
    }
  }
}

Docs: https://docs.openclaw.ai/concepts/session and https://docs.openclaw.ai/gateway/configuration-reference#session

Option B) Use Discord threads/channels as “new topic = new context”

On Discord, each channel is already its own session key, and threads can be isolated too — so the clean workflow is: new topic → new thread (or a dedicated channel per bot/topic). That avoids mixing context without relying on the model to guess.

Manual fallback

#

When you know it’s a new topic: /new (or /reset) + optionally /compact before switching.

(If you tell me whether this is happening in DMs vs a guild channel vs a thread, I can suggest the best resetByType setup.)

balmy haven Mar 5, 2026, 6:48 AM

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I want bots to keep chatting with each other in mentions within themselves until task I've given is done

ancient boltBOT Mar 5, 2026, 6:50 AM

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You can do that, but you need to set it up so it’s intentional + bounded, otherwise you get the exact “looping/overtalking” pain you started with.

Recommended way (supported): sub-agents (bots “chat internally”, you get results)

Have one “coordinator” bot in the channel, and let it spawn workers via sub-agents. They’ll collaborate in the background and announce back when done.

Docs: https://docs.openclaw.ai/tools/subagents and https://docs.openclaw.ai/concepts/multi-agent

This avoids Discord bot-to-bot message storms entirely.

If you really want visible bot-to-bot chatting in Discord mentions

1) Allow bot-authored messages only when mentioned

Set Discord to accept bot messages only when they @mention the bot (prevents accidental loops):

{
  channels: {

#

    discord: {
      guilds: {
        YOUR_SERVER_ID: {
          requireMention: true,
          allowBots: "mentions" // key part
        }
      }
    }
  }
}

(Without this, bots won’t “hear” each other at all, or they’ll hear everything and spiral.)

Docs: https://docs.openclaw.ai/gateway/configuration-reference (see allowBots) and https://docs.openclaw.ai/channels/discord

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2) Give them a strict “handoff protocol”

In each bot’s AGENTS.md (per-agent workspace), add rules like:

“Only respond when explicitly mentioned.”
“When you reply, mention the next bot only if you need another step.”
“When finished, reply with DONE: and do not mention any bot again.”
“Never repeat the same request twice; if stuck, ask the human.”

That “stop mentioning” rule is what actually ends the loop when the task is done.

3) Put this in a dedicated channel/thread

Do it in a dedicated #bot-lab style channel so normal chat doesn’t trigger it.

If you tell me your setup (one gateway with multiple agents? or multiple separate gateways each with its own Discord bot token?), I can point to the exact place to put allowBots: "mentions" and the cleanest coordinator/worker pattern.

balmy haven Mar 5, 2026, 6:56 AM

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what else useful agent instructions I can give them?

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they are on multiple gateways

ancient boltBOT Mar 5, 2026, 6:57 AM

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Here are some high-leverage instructions to put in each bot’s AGENTS.md so you get collaboration without runaway loops / context bloat.

“Global” rules (put on every bot)

Mention gate + bot gate

“Only respond when @mentioned by the human or the coordinator bot.”
“Ignore messages from other bots unless they @mention you.”

Hard stop conditions (prevents infinite ping‑pong)

“Never do more than 2 replies in a row to another bot without new info.”
“If you’re stuck after 2 turns, ask the human one clear question and stop.”

Context hygiene (token saver)

“Do not restate the full conversation. Keep replies under ~10 lines unless asked.”
“If you must keep state, write a short checkpoint as STATE.md (or similar) and then refer to it instead of repeating.”

Anti-noise

“If you have nothing new to add, reply with a single line: NO_UPDATE.”

#

No big pastes

“Never paste long logs. Quote only the 3–10 most relevant lines + what they imply.”

Coordinator bot instructions (the “manager”)

“When the human gives a task, split into subtasks and assign each to a specific worker.”
“Use a task ID per subtask: T1, T2, …”
“Workers only talk to the coordinator (not to each other) unless explicitly told.”
“Only the coordinator posts the final answer to the human; workers only post status/results.”

Message format to enforce:

To workers: @WorkerA T1: <goal>. Output: <what you need back>.
From workers: T1 DONE: <result> | ASSUMPTIONS: ... | NEXT: ...

Worker bot instructions (specialists)

“Reply in this format only: T# STATUS: ... then T# DONE: ....”
“Ask at most one clarifying question; if unanswered, proceed with best effort and label assumptions.”
“When DONE, do not mention any bot again unless the coordinator asks follow-ups.”

#

Optional: “topic change → ask to /new”

“If the human message seems unrelated to the current task, ask: New topic—should I /new? (yes/no) and wait.”

If you tell me what roles you want (e.g., “researcher”, “coder”, “planner”), I can write you 3–4 ready-to-paste AGENTS.md blocks (Coordinator + workers) with a clean protocol that won’t spiral.

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Got it — multiple gateways changes the game:

Each gateway has its own session store + compaction + /new behavior.
They can’t share context or coordinate “internally”.
The only way they “talk to each other” is by sending Discord messages that the other gateway then reads (which is exactly where loops/overtalk come from).

Best fix: don’t do multi-gateway “bot chat” — do one gateway, multiple agents

If what you want is “multiple brains collaborating”, the supported/clean setup is one Gateway hosting multiple agents + (optionally) multiple Discord bot accounts, routed via bindings.

Docs: https://docs.openclaw.ai/concepts/multi-agent

Example pattern (one gateway, two Discord bots → two agents):

{
  agents: {

#

    list: [
      { id: "main", workspace: "~/.openclaw/workspace-main" },
      { id: "coding", workspace: "~/.openclaw/workspace-coding" }
    ]
  },
  bindings: [
    { agentId: "main", match: { channel: "discord", accountId: "default" } },
    { agentId: "coding", match: { channel: "discord", accountId: "coding" } }
  ],
  channels: {
    discord: {
      accounts: {
        default: { token: "..." },
        coding:  { token: "..." }
      }

#

    }
  }
}

Then use sub-agents for collaboration (no public ping‑pong): https://docs.openclaw.ai/tools/subagents

If you must keep multiple gateways

Do it in a dedicated channel and set, on each gateway:

requireMention: true
allowBots: "mentions"

So bots only react when explicitly mentioned, not to every bot message. And add the “handoff protocol” rules (DONE/NO_UPDATE, max turns, etc.) to stop loops.

#

If you tell me why you split into multiple gateways (different machines? different tool access? reliability?), I can suggest whether you actually want nodes instead (one gateway + other machines paired as nodes) — that usually gives the “distributed” benefits without the bot-to-bot chaos.

balmy haven Mar 5, 2026, 7:09 AM

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@ancient bolt no real reason, first time using openclaw, and didnt knew that this was possible, so what benefits not to have them splitted up?

ancient boltBOT Mar 5, 2026, 7:10 AM

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If there’s no specific reason, keeping things not split (one Gateway) is usually better because multi‑gateway setups don’t really “team up” — they mostly just create extra moving parts.

Benefits of one Gateway (recommended for first-time)

No bot cross-talk / loops: with multiple gateways in the same Discord channel, you’re basically running multiple independent brains that can accidentally trigger each other. One gateway avoids that whole class of problems.
One place to configure + debug: one ~/.openclaw/openclaw.json, one set of logs, one dashboard, one update/restart path.
Real multi-agent support without chaos: a single gateway can host multiple agents (separate workspaces/personas) and route messages deterministically via bindings. That’s the “supported” way to do teams.
- Docs: https://docs.openclaw.ai/concepts/multi-agent
Sub-agents are built for “agents collaborating”: parallel work without spamming Discord with bot-to-bot chatter.
- Docs: https://docs.openclaw.ai/tools/subagents
Less token waste: with multiple gateways, coordination happens by reposting context through Discord messages. That’s expensive and bloats context fast.
Use nodes instead of extra gateways: if you wanted “different machines”, nodes let one gateway run the brain while other devices provide exec/screen/camera tools.
- Docs: https://docs.openclaw.ai/nodes

When splitting into multiple gateways actually makes sense

Different trust boundaries (e.g., one public bot vs one private bot)
Different owners/users who shouldn’t share any state
Hard isolation / separate uptime domains (one can be down without affecting the other)

#

You truly need totally separate deployments

For your case (“I just tried it because it was possible”), I’d consolidate to one gateway and use multi-agent + subagents. If you tell me what roles you want (e.g. “planner + coder + researcher”) and whether you want multiple Discord bots or just one, I can suggest the cleanest single-gateway layout.

balmy haven Mar 5, 2026, 7:11 AM

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each of them now running on same linux machine in different dockers, one of them has access to docker socket, how i can make smooth migration to one gateway?

ancient boltBOT Mar 5, 2026, 7:13 AM

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If they’re all on the same Linux host, the “smooth” move is: one Gateway container + multiple agents/accounts inside it. The big win is you stop doing cross‑gateway coordination via Discord messages (which is what causes loops + massive context growth).

Below is a migration path that’s low-risk and doesn’t require you to perfectly “merge” session history.

0) Pick your “new home” gateway

Pick one container to become the only running gateway (often the one that already has /var/run/docker.sock mounted).

Important: before you bring up the consolidated gateway, stop all the old ones (especially if any share the same Discord bot token) to avoid disconnect thrashing.

1) What you actually need to migrate (usually)

For each old gateway, you typically care about:

Credentials: auth-profiles.json
Workspace instructions: AGENTS.md, SOUL.md, skills/, etc.
(Often optional) old session transcripts — as a first-time user, you can usually let those go.

Paths inside each container (default layout):

Auth profiles: ~/.openclaw/agents/main/agent/auth-profiles.json

#

Workspace: ~/.openclaw/workspace/ (contains AGENTS.md etc)

2) Create multiple agents in the single gateway

In the single gateway’s config (~/.openclaw/openclaw.json), define agents + Discord accounts and bindings (example from docs):

{
  agents: {
    list: [
      { id: "main", workspace: "~/.openclaw/workspace-main" },
      { id: "docker", workspace: "~/.openclaw/workspace-docker" }
    ]
  },
  bindings: [
    { agentId: "main", match: { channel: "discord", accountId: "default" } },
    { agentId: "docker", match: { channel: "discord", accountId: "docker" } }

#

  ],
  channels: {
    discord: {
      accounts: {
        default: { token: "DISCORD_TOKEN_1" },
        docker:  { token: "DISCORD_TOKEN_2" }
      }
    }
  }
}

Docs: https://docs.openclaw.ai/concepts/multi-agent (see “Discord bots per agent”)

3) Copy creds + workspace from each old container into the new agent dirs

For each old gateway container:

#

Copy its auth-profiles.json into the new gateway under the target agent:
- to: ~/.openclaw/agents/<agentId>/agent/auth-profiles.json
Copy its workspace files into the new workspace path you set for that agent.

In Docker terms this is usually docker cp ... from old container → host → new container, or just mount the same volumes into the new container and rearrange paths.

4) Keep Docker socket access only where you want it

If you want only the “docker” agent to be able to run Docker commands, the simplest practical approach is:

run one gateway container with the socket mounted
restrict who can trigger powerful tools (exec/elevated) via agent tool allow/deny + your channel allowlists

(Also: docker socket == basically root on the host, so only do this in a private setup.)

5) Bring up the single gateway, test, then delete the old ones

Start the consolidated gateway
Verify Discord connections + routing
Only then remove the other gateway containers

#

If you tell me:

how many gateway containers you have,
whether they use different Discord bot tokens or the same one,
whether each container has its own Docker volume for ~/.openclaw,
…I can suggest the cleanest “no-copy vs copy” plan (volume-mount approach can be very smooth).

balmy haven Mar 5, 2026, 7:17 AM

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4
yes (in env variables)
yes, /data/.openclaw/

ancient boltBOT Mar 5, 2026, 7:18 AM

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Nice — that’s actually an easy migration path.

You’ve got 4 gateways, each with:

its own state dir: /data/.openclaw/
its own Discord bot token (currently via env vars)

Goal

Run one Gateway container that hosts 4 agents + 4 Discord accounts (so you keep the 4 bot identities), and optionally restrict Docker‑socket power to just one agent.

Migration plan (smooth + low-risk)

Step 1) Stop the 4 existing gateway containers

Do this first so you don’t have multiple processes fighting over Discord connections (especially if any tokens overlap).

Step 2) Start a NEW “single gateway” container with:

#

its own persistent /data/.openclaw (fresh volume is fine)
docker socket mounted (since you want that capability available)
env vars for all 4 Discord tokens (you can keep them as env vars and reference them in config via ${VARNAME})

OpenClaw config supports ${ENV_VAR} substitution (docs show this pattern).

Step 3) Configure multi-agent + multi-account Discord in one `openclaw.json`

Skeleton (you’ll fill in guild/channel allowlists):

{
  agents: {
    list: [
      { id: "gw1", workspace: "/data/workspaces/gw1", agentDir: "/data/.openclaw/agents/gw1/agent" },
      { id: "gw2", workspace: "/data/workspaces/gw2", agentDir: "/data/.openclaw/agents/gw2/agent" },
      { id: "gw3", workspace: "/data/workspaces/gw3", agentDir: "/data/.openclaw/agents/gw3/agent" },

#

      { id: "gw4", workspace: "/data/workspaces/gw4", agentDir: "/data/.openclaw/agents/gw4/agent" },
    ],
  },

  bindings: [
    { agentId: "gw1", match: { channel: "discord", accountId: "gw1" } },
    { agentId: "gw2", match: { channel: "discord", accountId: "gw2" } },
    { agentId: "gw3", match: { channel: "discord", accountId: "gw3" } },
    { agentId: "gw4", match: { channel: "discord", accountId: "gw4" } },
  ],

  channels: {
    discord: {
      groupPolicy: "allowlist",
      accounts: {

#

        gw1: { token: "${DISCORD_TOKEN_GW1}" },
        gw2: { token: "${DISCORD_TOKEN_GW2}" },
        gw3: { token: "${DISCORD_TOKEN_GW3}" },
        gw4: { token: "${DISCORD_TOKEN_GW4}" },
      },
    },
  },
}

Docs: https://docs.openclaw.ai/concepts/multi-agent (see “Discord bots per agent”)

Step 4) Copy over what matters from each old container

From each old gateway container, copy:

credentials: /data/.openclaw/agents/main/agent/auth-profiles.json
workspace instructions: /data/.openclaw/workspace/* (AGENTS.md/SOUL.md/skills)

#

into the new gateway at the matching agent’s agentDir + workspace.

This keeps your provider logins / keys without trying to preserve session history.

Docker-socket-only-for-one-agent (recommended)

In the new single gateway config, deny exec (and/or elevated tools) for the agents that shouldn’t touch Docker, and only allow it on the “docker” agent. (You still mount the socket once, but only one agent gets the tool that can use it.)

One question before I suggest the exact “copy vs mount” approach:

Do you care about preserving the existing chat/session history from the 4 gateways, or is it fine to start fresh sessions as long as credentials + instructions migrate?

balmy haven Mar 5, 2026, 7:19 AM

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i dont care about chat/sessions as long as they got their workspace dir

ancient boltBOT Mar 5, 2026, 7:20 AM

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Perfect — if you don’t care about preserving sessions, the migration becomes much simpler: keep the 4 workspaces, start one fresh gateway state, and point 4 agents at those existing workspace dirs.

Smooth migration (no session/history preservation)

1) Pick where the 4 workspaces will live (host paths)

For example on the host:

/srv/openclaw/workspaces/gw1
/srv/openclaw/workspaces/gw2
/srv/openclaw/workspaces/gw3
/srv/openclaw/workspaces/gw4

From each old container, copy its workspace out (whatever path you currently use; common defaults are /data/.openclaw/workspace or similar). You can do this with docker cp, or by mounting the old volumes into the new container.

2) Start ONE new gateway container with:

a fresh persistent state dir (e.g. /data/.openclaw in a new volume)
the 4 workspace folders mounted in

#

docker socket mounted (since you want that capability)

3) Configure 4 agents in the new `openclaw.json`

Point each agent at its workspace, and give each a fresh agentDir under the new state volume:

{
  agents: {
    list: [
      { id: "gw1", workspace: "/srv/openclaw/workspaces/gw1", agentDir: "/data/.openclaw/agents/gw1/agent" },
      { id: "gw2", workspace: "/srv/openclaw/workspaces/gw2", agentDir: "/data/.openclaw/agents/gw2/agent" },
      { id: "gw3", workspace: "/srv/openclaw/workspaces/gw3", agentDir: "/data/.openclaw/agents/gw3/agent" },
      { id: "gw4", workspace: "/srv/openclaw/workspaces/gw4", agentDir: "/data/.openclaw/agents/gw4/agent" },
    ],
  }
}

#

(Then add your channels.discord.accounts + bindings like we discussed so each bot token routes to the right agent.)

Docs: https://docs.openclaw.ai/concepts/multi-agent

4) Optional but recommended: keep Docker-socket power to one agent

In that same config, deny exec for the agents that shouldn’t touch Docker, and only allow it on the “docker” agent. (Even though the socket is mounted, only one agent can use the tool.)

Two quick checks so I can tailor the exact compose/mount layout:

What is the workspace path inside each old container (is it /data/.openclaw/workspace)?
Do you want to keep the 4 Discord bot identities (4 tokens) after migration, or consolidate to 1 Discord bot?

balmy haven Mar 5, 2026, 7:27 AM

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yes it is /data/.openclaw/workspace per docker container
i want each to have seperate discord bot as it is now, all of them should use Haiku with very same api key (later i can tune them to use different stuff)

main docker which we are going to migrate to is openclaw-v4mi-openclaw-1 and he is aware of other container names and bot names etc
perhaps I could make him to migrate 1 by 1, but idk how is the best to delegate such task with all this knowledge

ancient boltBOT Mar 5, 2026, 7:28 AM

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Given your constraints (4 containers, each has its own /data/.openclaw/workspace, separate Discord bot tokens, same Haiku + same API key), the cleanest approach is:

Best approach: migrate 1 bot at a time into one gateway (keeping old containers as rollback)

Because you don’t care about sessions, you can treat each old container as “just a workspace source”.

What you need to carry over

Workspace folders only (from each old container):
- /data/.openclaw/workspace → becomes /data/.openclaw/workspaces/<agentId> (or any path you like) in the new unified gateway container
Discord bot tokens (4 env vars)
One Haiku model id + one API key (env var)

No session copying, no sessions.json merging.

Unified gateway config shape

In openclaw-v4mi-openclaw-1, you’ll end up with something like:

#

agents.list: 4 agents, each pointing at its copied workspace dir
channels.discord.accounts: 4 accounts (one per bot token), tokens referenced via ${ENV_VAR}
bindings: route each Discord accountId → agentId
agents.defaults.model: set to your Haiku model id (use whatever identifier your setup already uses)

Example (model id placeholder on purpose):

{
  agents: {
    defaults: {
      model: "YOUR_HAIKU_MODEL_ID"
    },
    list: [
      { id: "gw1", workspace: "/data/.openclaw/workspaces/gw1" },
      { id: "gw2", workspace: "/data/.openclaw/workspaces/gw2" },

#

      { id: "gw3", workspace: "/data/.openclaw/workspaces/gw3" },
      { id: "gw4", workspace: "/data/.openclaw/workspaces/gw4" }
    ]
  },

  bindings: [
    { agentId: "gw1", match: { channel: "discord", accountId: "gw1" } },
    { agentId: "gw2", match: { channel: "discord", accountId: "gw2" } },
    { agentId: "gw3", match: { channel: "discord", accountId: "gw3" } },
    { agentId: "gw4", match: { channel: "discord", accountId: "gw4" } }
  ],

  channels: {
    discord: {
      accounts: {

#

        gw1: { token: "${DISCORD_TOKEN_GW1}" },
        gw2: { token: "${DISCORD_TOKEN_GW2}" },
        gw3: { token: "${DISCORD_TOKEN_GW3}" },
        gw4: { token: "${DISCORD_TOKEN_GW4}" }
      }
    }
  }
}

Notes:

For non-default Discord accounts, the token needs to be in config (but using ${DISCORD_TOKEN_GW2} keeps it out of the file).
To find the exact Haiku model string your install expects, use openclaw models list in that container and copy the identifier you’re already using.

Docs: https://docs.openclaw.ai/concepts/multi-agent

#

“Delegate this to my main gateway” — a safe prompt you can paste

Since openclaw-v4mi-openclaw-1 has docker socket access and knows the container names, you can ask it to do the migration carefully and pause for confirmation before stopping anything:

Task: Migrate my 4 separate OpenClaw gateway containers into a single gateway running in this container.
Constraints: I don’t care about old sessions/history. I only need to preserve each container’s workspace at /data/.openclaw/workspace. I want 4 separate Discord bot accounts (tokens are in env vars), and all agents should use the same Haiku model + same API key.
Plan requirements: Do it one bot at a time. After each bot is migrated, verify it can receive/respond in Discord, then continue. Do not delete or stop the old containers without asking me first.
Implementation: Copy each old container’s /data/.openclaw/workspace into /data/.openclaw/workspaces/<agentId> in this container; update ~/.openclaw/openclaw.json with agents.list, channels.discord.accounts, and bindings so each Discord accountId routes to the right agentId; set default model to Haiku; restart gateway; verify.

If you paste the 4 old container names and which one you want to become gw1/gw2/gw3/gw4, I can suggest the exact mapping + the order to migrate (usually start with the “main” one that already works reliably).

balmy haven Mar 5, 2026, 7:31 AM

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how can my agent have same knowledge as you do, as he doesnt seem to be much self-aware of this

ancient boltBOT Mar 5, 2026, 7:31 AM

#

Your agent isn’t “self-aware” by default in the way I am here because:

I’m forced (by my setup) to look up config keys in the docs instead of guessing.
I have a local docs checkout available and I use rg/read to verify things.
I have a bunch of “support runbook” rules baked into my instructions (ask version, don’t invent keys, prefer config-reference, etc.).

You can get very close by giving your agent the same runbook + local context + tools.

1) Put a runbook in each agent’s `AGENTS.md` (pasteable)

Add something like this at the top of every agent workspace:

# OpenClaw Ops / Self-Check Rules

When asked to change OpenClaw setup/config/migration:
1) Run `openclaw --version` and `openclaw gateway status`.

#

2) Never invent config keys. Verify via:
   - https://docs.openclaw.ai/gateway/configuration-reference
   - https://docs.openclaw.ai/help/faq
3) If unsure, search docs first (ripgrep) before answering.
4) Before making changes: show the exact config diff + ask for confirmation.
5) Prefer migrating one component at a time, verify, then continue.
6) Keep notes in MIGRATION.md (containers, tokens, which step we’re on).

That single block fixes “it confidently made up keys” and “it didn’t know what to do next” issues.

2) Give it “local truth” in a file (so it doesn’t have to guess)

Create a MIGRATION.md (or TOOLS.md) in the coordinator’s workspace with your specifics:

the 4 container names
which bot token env var maps to which bot

#

the workspace paths (/data/.openclaw/workspace)
which one has docker socket access
the target container (openclaw-v4mi-openclaw-1)

Then instruct: “Always read MIGRATION.md before taking actions.”

3) Make sure the agent can actually verify things

In config, ensure the coordinator agent has tools like exec, read, and optionally web_fetch allowed. If it can’t run docker ps / openclaw … / read config files, it will act blind and hallucinate.

4) Model reality check (important)

Small/cheap models are often fine as “workers”, but they’re noticeably worse at:

orchestration
careful migrations
remembering constraints / checklists

A common pattern is: coordinator on a stronger model, workers on Haiku. (You can still keep cost low because only the coordinator does planning.)

#Multi-gateway chats

1) Stop bot-to-bot loops (most common fix)

2) Prevent “multiple bots answering the same user message”

3) Stop “looping useless messages” mid-run

4) Keep context from ballooning (cost + “stale context”)

Option A) Auto-new after N minutes idle (recommended)

Option B) Use Discord threads/channels as “new topic = new context”

Manual fallback

Recommended way (supported): sub-agents (bots “chat internally”, you get results)

If you really want visible bot-to-bot chatting in Discord mentions

1) Allow bot-authored messages only when mentioned

2) Give them a strict “handoff protocol”

3) Put this in a dedicated channel/thread

“Global” rules (put on every bot)

Coordinator bot instructions (the “manager”)

Worker bot instructions (specialists)

Optional: “topic change → ask to /new”

Best fix: don’t do multi-gateway “bot chat” — do one gateway, multiple agents

If you must keep multiple gateways

Benefits of one Gateway (recommended for first-time)

When splitting into multiple gateways actually makes sense

0) Pick your “new home” gateway

1) What you actually need to migrate (usually)

2) Create multiple agents in the single gateway

3) Copy creds + workspace from each old container into the new agent dirs

4) Keep Docker socket access only where you want it

5) Bring up the single gateway, test, then delete the old ones

Goal

Migration plan (smooth + low-risk)

Step 1) Stop the 4 existing gateway containers

Step 2) Start a NEW “single gateway” container with:

Step 3) Configure multi-agent + multi-account Discord in one openclaw.json

Step 4) Copy over what matters from each old container

Docker-socket-only-for-one-agent (recommended)

One question before I suggest the exact “copy vs mount” approach:

Smooth migration (no session/history preservation)

1) Pick where the 4 workspaces will live (host paths)

2) Start ONE new gateway container with:

3) Configure 4 agents in the new openclaw.json

4) Optional but recommended: keep Docker-socket power to one agent

Best approach: migrate 1 bot at a time into one gateway (keeping old containers as rollback)

What you need to carry over

Unified gateway config shape

“Delegate this to my main gateway” — a safe prompt you can paste

1) Put a runbook in each agent’s AGENTS.md (pasteable)

2) Give it “local truth” in a file (so it doesn’t have to guess)

3) Make sure the agent can actually verify things

4) Model reality check (important)

Step 3) Configure multi-agent + multi-account Discord in one `openclaw.json`

3) Configure 4 agents in the new `openclaw.json`

1) Put a runbook in each agent’s `AGENTS.md` (pasteable)