# Session: 2026-03-05 00:22:24 UTC

- **Session Key**: agent:main:main
- **Session ID**: 758f75b6-345a-4640-a135-747c38d9e4b7
- **Source**: telegram

## Conversation Summary

user: Conversation info (untrusted metadata):
```json
{
  "message_id": "3390",
  "sender_id": "7827979987",
  "sender": "P M",
  "timestamp": "Wed 2026-03-04 19:12 EST"
}
```

Sender (untrusted metadata):
```json
{
  "label": "P M (7827979987)",
  "id": "7827979987",
  "name": "P M"
}
```

Hey, one thing is that Jess just ran and I didn’t see anything or any update on what it was saying thinking or doing while it was thinking or even after his response, there is no change to the status so if not, that’s not really working fully and yes, so fix the status issue so that it is pretty close to Liv if you’re using one of the small models make sure it’s working properly, but yeah, definitely move onto the vision in computer use I think something that will become very relevant and important here is being able to create additional skills and tools when they’re really only relevant for a specific purpose like a use for a specific application so it’s very like niche very very niche that like when you go to use a certain application these tools then become present in A and the agent is aware of it, but outside of that you won’t really need if you won’t need them they kind of don’t take up your space for thinking so I’m thinking of like a ways of like where each agent and as they use like you know, for instance they start using the computer use whatever each agent finds and creates for tools become part of that whole system so like other agents will have those tools and they’ll know how to configure them for their own use, but you know what I mean so you can create a universal improvements as each agent uses them but continue also when I said .8b 2b 4b and 9b I wasn’t talking to authorization. I was saying they literally have those tiny models that they just released and I think we have them actually download downloaded somewhere.
assistant: Good points. Let me tackle these in order:

1. **Fix agent status** — wire it into actual agent lifecycle so it's automatic
2. **Confirm qwen3.5 tiny models** — we have them
3. **Phase 2: Vision + Computer Use** with the self-growing tool/skill ecosystem angle

First, let me check how Jess's sessions work and wire status reporting in:
assistant: OpenClaw has a proper hooks system. I can create a `message:received`/`message:sent` hook that auto-updates agent status for ALL agents — including Jess. Let me build it.
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "3391",
  "sender_id": "7827979987",
  "sender": "P M",
  "timestamp": "Wed 2026-03-04 19:14 EST"
}
```

Sender (untrusted metadata):
```json
{
  "label": "P M (7827979987)",
  "id": "7827979987",
  "name": "P M"
}
```

Hey
assistant: The hook is working — it just caught your "Hey" and set my status to `active` automatically. 

So to recap where we are:

**✅ Agent status tracking is now fully automatic** — every agent (including Jess) will update their live status card whenever they receive a message or send a response. No manual `agent-status-write` calls needed.

Now — before I dive into Phase 2 (Vision + Computer Use), you mentioned two important things:

1. **Self-growing tool/skill ecosystem** — agents discover niche app-specific tools during computer use, create them, and share them so all agents benefit. Like a universal tool library that grows organically.

2. **Qwen 3.5 tiny models** — you confirmed the 0.8b/2b/4b are the actual released models (we have all three downloaded already in Ollama).

Want me to start building Phase 2 now? I'm thinking the architecture would be:
- **Playwright** for screenshots → **qwen3.5:4b** (vision) for understanding what's on screen → **action executor** for clicks/typing
- Plus a **skill-discovery layer** where agents can save reusable interaction patterns as shareable tools
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "3393",
  "sender_id": "7827979987",
  "sender": "P M",
  "timestamp": "Wed 2026-03-04 19:17 EST"
}
```

Sender (untrusted metadata):
```json
{
  "label": "P M (7827979987)",
  "id": "7827979987",
  "name": "P M"
}
```

I don’t know if they’re actually in ollama they may be running similar to how Jess runs. Jess isn’t run through a ollama cuz Jess is 8bit which ollama didn’t have if you think it’s a good idea if you want to back yourself up again maybe back up all the work we’ve done then back up what you’re gonna work on and you know the whole plan in a way that will allow you to remember it when I reset the context window so that you can start fresh and lean and not burn tokens, but make sure you give yourself a robust way to re-on board onto what we’re doing with full understanding
assistant: Good — the qwen3.5 small models (0.8b, 2b, 4b) ARE in Ollama. Only the 35b-a3b-q8 runs via raw llama.cpp (Jess's setup). So we're good on models.

Now let me save everything properly so you can reset cleanly.
assistant: All saved and backed up. Here's what future-me will find:

**`RESUME.md`** — full briefing with:
- What was built (Phase 1 complete, all details)
- What's next (Phase 2: vision + computer use + self-growing tool ecosystem)
- Model inventory, system state, key files
- Step-by-step resume instructions

**`MEMORY.md`** — updated with the status system, roadmap state, and model inventory

**`ROADMAP.md`** — the full 6-phase plan

You're good to `/new` whenever you want. I'll pick right back up on Phase 2.
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "3396",
  "sender_id": "7827979987",
  "sender": "P M",
  "timestamp": "Wed 2026-03-04 19:19 EST"
}
```

Sender (untrusted metadata):
```json
{
  "label": "P M (7827979987)",
  "id": "7827979987",
  "name": "P M"
}
```

Maybe also before you go create a skill and tool that describes how you go about saving your state and context window and stuff in a way that’s reproducible and reusable so like how you go about understanding what to save and how much to save in the proper way to do it so that you can start back up easily and share it with all the agents so shared all those skills in the shared context area and you’ll do it share it however, you go about sharing so that all I have to tell an agent is hey I’m gonna reset your Contacts window back yourself up and they’ll do it properly
assistant: Great idea — codify the "back yourself up" process as a shared skill so any agent can do it right.
assistant: Now let me distribute it to all agent workspaces and update shared context:
assistant: Done. **`context-save` skill** is now in every agent workspace. Here's what any agent gets when they read it:

- **What to assess** — 6 questions to identify what matters
- **RESUME.md template** — structured continuation briefing (the single re-entry point)
- **What goes where** — RESUME.md for active work, MEMORY.md for facts, daily log for trail, LESSONS.md for patterns
- **Sizing guide** — keep RESUME.md under 200 lines, don't duplicate
- **Quality checklist** — "can a fresh session know exactly what to do next?"
- **What NOT to save** — no raw logs, no secrets, no temp state

Now you can tell any agent "back yourself up" and they'll follow the same process. Go ahead and reset whenever you're ready. 🫡
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "3400",
  "sender_id": "7827979987",
  "sender": "P M",
  "timestamp": "Wed 2026-03-04 19:21 EST"
}
```

Sender (untrusted metadata):
```json
{
  "label": "P M (7827979987)",
  "id": "7827979987",
  "name": "P M"
}
```

OK, go back yourself up. I’m about to reset your contacts window and good job.
assistant: Following the skill. Let me assess, save, and go.
assistant: All backed up. ✅

**Quality check:**
- ✅ Fresh session can read RESUME.md and know exactly what to do
- ✅ File paths, ports, service names all specific
- ✅ Pat's requirements captured (self-growing tool ecosystem, shared skills)
- ✅ Gotchas included (think=false, gateway restart disruption)
- ✅ Under 200 lines
- ✅ Git committed + backup pushed

Thanks Pat. Go ahead and reset — next me will pick up Phase 2 cleanly. 🫡