# Session: 2026-03-01 18:59:31 UTC

- **Session Key**: agent:main:main
- **Session ID**: 7968b0a6-58c2-4d07-92b9-aa4b58098299
- **Source**: telegram

## Conversation Summary

user: Conversation info (untrusted metadata):
```json
{
  "timestamp": "Sun 2026-03-01 11:59 EST"
}
```

Hey things have changed since you we last spoke
assistant: Good morning Pat! Yeah, new day — let me check what's changed and answer your question.
assistant: I see the Voice Lab moved to port 8101 and Jess + Codex were active overnight. Let me check what changed:
assistant: Now to answer your question properly:

**Where does the cross-agent collaboration physically live?**

It's all regular files on your DGX Spark's filesystem. Nothing magical — just files in specific locations that every agent can read and write:

**Physical locations:**

| What | Where on disk | Purpose |
|------|--------------|---------|
| **SHARED_CONTEXT.md** | `/home/pmello/.openclaw/SHARED_CONTEXT.md` | Active projects, blockers, handoffs |
| **IDEAS.md** | `/home/pmello/.openclaw/IDEAS.md` | Project backlog |
| **memlog tool** | `/home/pmello/.openclaw/tools/memlog.sh` | Auto-timestamped logging |
| **Agent memories** | `/home/pmello/.openclaw/workspace-<agent>/memory/` | Each agent's daily logs |
| **Collab skill** | `/home/pmello/.openclaw/workspace-<agent>/skills/agent-collab/` | Instructions for how to collaborate |

Every agent workspace has **symlinks** pointing to the shared files (SHARED_CONTEXT.md, IDEAS.md), so when any agent opens them, they're all reading and writing the same physical file. It's like a shared folder that everyone has a shortcut to.

The `memlog` tool is just a bash script — no AI involved. It appends a line with a timestamp to a file. That's it.

What changed since yesterday that you wanted to tell me about?
user: Conversation info (untrusted metadata):
```json
{
  "timestamp": "Sun 2026-03-01 12:01 EST"
}
```

So can you kind of solidify the cross agent collaboration also dive deep into Jess and codex. We we started a new way for Jess to think so to handle the context window so look into that and see if you can find those changes with codex Just look into any changes and ask both of them of any changes as well. I’m having a hard time contacting Jess so the goal is to make her consistent and robust so that we don’t have these constant Telegram brakes and make sure that we can get everything working cleanly and properly
assistant: Interesting — Jess has a watchdog timer, memory manager timer, and some new files. Let me dig in:
assistant: Now I see the full picture. Let me check if Jess's Telegram issues are related to the model or gateway:
assistant: Now I have the full picture. Let me tell you what I found and fix things:
user: Conversation info (untrusted metadata):
```json
{
  "timestamp": "Sun 2026-03-01 13:07 EST"
}
```

Hey
user: Conversation info (untrusted metadata):
```json
{
  "timestamp": "Sun 2026-03-01 13:49 EST"
}
```

Hey everything you’ve worked on over the past day or two I’d like you to formalize and provide it to all of the agents so that it is available to all
assistant: Good — most things are distributed. Some agents are missing `backup-now` and `agent-backup-sync`. Let me formalize everything into a clean distribution and update SHARED_CONTEXT.md with the complete state:
assistant: Now update SHARED_CONTEXT.md with the complete picture of everything we've built:
assistant: Done. Here's the full picture of what's now formalized and distributed to every agent:

**All 11 agents now have:**

**4 shared skills:**
- **local-voice** — `voice say/hear` for TTS and STT
- **agent-collab** — handoff protocol, `memlog` for auto-timestamped logging
- **agent-backup-sync** — automated GitHub backups every 6h
- **backup-now** — manual backup trigger

**3 shared files (symlinked — same file for all):**
- **SHARED_CONTEXT.md** — complete knowledge hub with active projects, agent directory, system access info, handoff protocol, blockers
- **IDEAS.md** — project backlog anyone can add to
- **voice-prefs.json** — shared voice settings

**2 system-wide tools:**
- **`voice`** — TTS/STT from anywhere
- **`memlog`** — timestamped logging with zero model overhead

**SHARED_CONTEXT.md** is the master reference — it documents every tool, every skill, every agent, every service, every access credential, and the handoff protocol. Any agent picking up any task can start there.
user: [media attached: /home/pmello/.openclaw/media/inbound/file_86---3f6e9259-9745-42aa-b9bf-9a3c107b4a16.jpg (image/jpeg) | /home/pmello/.openclaw/media/inbound/file_86---3f6e9259-9745-42aa-b9bf-9a3c107b4a16.jpg]
To send an image back, prefer the message tool (media/path/filePath). If you must inline, use MEDIA:https://example.com/image.jpg (spaces ok, quote if needed) or a safe relative path like MEDIA:./image.jpg. Avoid absolute paths (MEDIA:/...) and ~ paths — they are blocked for security. Keep caption in the text body.
Conversation info (untrusted metadata):
```json
{
  "timestamp": "Sun 2026-03-01 13:50 EST"
}
```

FYI you are now burning credits like nothing else it’s going to be almost $3 every time you run
assistant: Yeah, I'm at 87% context — that's why it's so expensive. Every message is sending 174k tokens. We should start fresh.

**Recommendation:** Do a `/new` to reset my context. Everything we built is saved in files — I'll read SHARED_CONTEXT.md and today's memory on startup and be right back up to speed in seconds instead of burning $3/message carrying all this conversation history.

The billing error means we may have already hit a limit. Want to `/new` now?