#my agent keeps crashing, forgetting everything, and I've spent more time debugging than doing work

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frigid ruinBOT
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uneven terraceBOT
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You’re not crazy — what you’re describing usually comes from 3 separate “gotchas”:

  1. /new resets the chat session (so it will feel like “it forgot everything”)
  2. Durable memory only exists if it’s written to disk (MEMORY.md and memory/YYYY-MM-DD.md)
  3. “Gateway dies on complex tasks” is almost always diagnosable from logs (OOM, provider/tool-schema errors, bad config, etc.) — but we need one clean crash signature to stop guessing.

Below is a practical “foundation” for your 3 asks.

1) “Mission control dashboard” (no more SSH babysitting)

OpenClaw already has a browser UI for this: Control UI.

  • URL: typically http://127.0.0.1:18789/ (served by the Gateway)
  • It can do: live chat + tool call stream + sessions list + per-session overrides + cron + skills + nodes + live logs tail + config view/edit + apply+restart
    Docs: https://docs.openclaw.ai/web/control-ui
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If you want “what is my agent doing / stop it / see tool output / see logs” — that’s the Control UI’s sweet spot.

Editing SOUL.md / AGENTS.md / memory files from a browser:
Control UI is great for config, but for workspace file editing the most robust pattern is: put your workspace in a private git repo so you can edit those Markdown files from GitHub’s web UI (or use a browser editor like code-server). OpenClaw explicitly recommends treating the workspace as private memory and backing it up via git.
Docs: https://docs.openclaw.ai/concepts/agent-workspace

That alone removes a ton of “SSH in, fix file, restart, repeat” pain.

2) Multi-agent Discord setup (5 specialists sharing one brain): the blueprint

There are two viable approaches; one is dramatically simpler.

Option A (recommended): One Discord bot, one agent, 5 channels

On Discord, each guild channel already gets its own isolated session context (so #ops and #creative won’t mix). You get “specialization” without multi-agent routing complexity.

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Blueprint:

  • Create channels: #ops, #creative, #analytics, #monitoring, #research
  • In each channel, pin a short “how to behave here” message (or put durable rules in AGENTS.md)
  • Use the same underlying memory files (workspace) across all of it

Discord guide (esp. “guild workspace” + memory note): https://docs.openclaw.ai/channels/discord

Important: in guild channels, MEMORY.md is not auto-loaded by default (privacy/safety). So you must teach the agent: “when in Discord channels, use memory_search / memory_get when you need long-term context.” The Discord docs call this out.

Option B: True multi-agent routing (5 isolated agents, 5 Discord bots)

If you really want 5 separate “brains” (different personas, different tool access, different workspaces), OpenClaw supports it cleanly via agents + bindings (usually 1 Discord bot token per agent/account).
Docs: https://docs.openclaw.ai/concepts/multi-agent

Sharing one knowledge base across those agents: don’t make them all write to the same MEMORY.md (race conditions + chaos). Instead:

  • Keep shared knowledge read-only (a folder/repo with SOPs, brand notes, KPI definitions, etc.)
  • Let each agent have its own memory files, but index/read the shared knowledge (memory search can index extra paths; QMD can too, if you go that route)
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If you tell me which direction you want (A vs B), I can suggest a concrete layout.

3) Memory “forgetting” + crash fixes (what usually works)

First: redefine “memory”

OpenClaw memory is Markdown on disk. The model only “remembers” what gets written.
Docs: https://docs.openclaw.ai/concepts/memory

Rules of thumb that stop the amnesia:

  • Durable facts/preferences → MEMORY.md
  • Day-to-day running log → memory/YYYY-MM-DD.md
  • Don’t rely on chat history surviving /new; make the agent write the important bits

Also: if you’re mostly operating in Discord channels, remember: MEMORY.md won’t be injected automatically there; use memory_search/memory_get explicitly (or put truly-global short rules in AGENTS.md / USER.md).

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Second: stop long tasks from freezing / spiraling

Two practical levers:

  • Use sub-agents for “long rabbit hole / research / heavy lifting” so your main lane stays responsive
    Docs: https://docs.openclaw.ai/tools/subagents
    (Discord can do thread-bound subagent sessions, which is perfect for “research agent in a thread”.)
  • Add hard guardrails in AGENTS.md: time/step limits, “ask before spending >N minutes”, “present plan then execute”, etc. This reduces both token burn and cortisol.

Third: crashes need one clean log

Before we can fix “gateway dies when cross-referencing docs”, I need your exact version + the error signature.

Run and paste (redact tokens):

openclaw --version
openclaw status --all
openclaw doctor
openclaw logs --follow