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# vriōus — Multi-Agent Orchestration & Shared Memory Patterns
Canonical patterns for orchestrating coding agents (pi, opencode, claude-code) from Hermes, with shared memory across a distributed, multi-container fleet.
## Architecture Model
This is **multi-host, multi-container** — not single-host. Each agent runs in its own container or host:
```
┌─────────────────────────────────────────────────────────────────┐
│ Hermes (hertz) — orchestrator │
│ fact_store / memory tool / MCP client │
│ Skills: codex, opencode, claude-code, hermes-agent │
└──────┬───────────────────────────┬────────────────────┬──────────┘
│ │ │
▼ ▼ ▼
┌──────────────┐ ┌──────────────────┐ ┌──────────────────┐
│ pi agent │ │ opencode │ │ claude-code │
│ (pica) │ │ (orca.fritz.box) │ │ (noether.fritz │
│ Codex CLI │ │ OpenCode CLI │ │ .box) │
│ --print │ │ run / TUI │ │ Claude Code CLI │
│ NPU inference │ │ provider-agnostic│ │ Anthropic Claude │
└──────┬───────┘ └────────┬─────────┘ └────────┬─────────┘
│ │ │
└─────────────────────┼────────────────────────┘
┌────────▼────────┐
│ Stash / MCP │
│ memory server │
│ (memory.fritz │
│ .box:8080/sse) │
│ (boltzmann) │
└─────────────────┘
```
Each agent is independent — separate host, separate Incus container, separate config. Hermes invokes them via SSH or lmcp:
## Agents
| Agent | CLI | Invocation | Transport | Location | MCP Client | MCP Server |
|-------|-----|------------|-----------|----------|-----------|------------|
| **Hermes** | `hermes` | n/a (orchestrator) | — | hertz | stash, boltzmann, pica | `hermes mcp serve` |
| **pi** | `pi --print` | `pi_exec` MCP tool, SSH+nohup | MCP / SSH | pica (Incus) | stash, hertz, boltzmann | `codex mcp-server` (2 tools) |
| **opencode** | `opencode run` | SSH / lmcp / direct terminal | SSH / MCP | orca.fritz.box (Incus) | stash (configurable) | `opencode serve` |
| **claude-code** | `claude` | SSH / lmcp / direct terminal | SSH / MCP | noether.fritz.box (Incus) | stash (via claude.json) | — |
## Invocation Patterns
### One-Shot (pi)
```
# Via pi_exec MCP tool (preferred — configurable timeout)
mcp__pica__pi_exec(
prompt="Read /path/to/file and summarize it",
model="qwen3.5-9b-npu",
provider="hossenfelder"
)
# Via SSH (fallback)
ssh mfritsche@pica "pi --print --provider hossenfelder --model qwen3.5-9b-npu 'prompt'"
```
### One-Shot (opencode)
```
# Via SSH on orca
ssh mfritsche@orca "opencode run 'Implement retry logic for API calls' --model openrouter/anthropic/claude-sonnet-4"
# Or via lmcp on orca
curl -s http://orca.fritz.box:8080/mcp -H "Authorization: Bearer <token>" \
-d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"shell","arguments":{"command":"opencode run '...'","timeout":120}}}'
```
### One-Shot (claude-code)
```
# Via SSH on noether
ssh mfritsche@noether "claude execute -p 'Refactor the auth module and add tests'"
# Or via lmcp on noether
curl -s http://noether.fritz.box:8080/mcp -H "Authorization: Bearer <token>" \
-d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"shell","arguments":{"command":"claude execute -p '...'","timeout":120}}}'
```
### Background / Long-Running Tasks
```
# pi: SSH + nohup with lock file, timeout per file
# See references/batch-pi-processing.md for full pattern
# opencode on orca: SSH background
ssh -f mfritsche@orca "opencode run 'Long task' > /tmp/opencode.log 2>&1"
# claude-code on noether: SSH background
ssh -f mfritsche@noether "claude execute -p 'Long task' > /tmp/claude.log 2>&1"
# Or via lmcp with shell_bg on either host
curl -s http://orca.fritz.box:8080/mcp -H "Authorization: Bearer ***" \
-d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"shell_bg","arguments":{"command":"opencode run '...'","log":"/tmp/opencode-task.log"}}}'
```
## Codex as MCP Server
The official `codex` CLI (v0.143+) can run as an stdio MCP server, exposing pi's coding capabilities as callable tools. Start it on pica:
```
codex mcp-server --config model="o4-mini"
```
Handshake exposes:
- Server: `codex-mcp-server` v0.143.0
- Protocol: 2024-11-05
- Capabilities: `tools.listChanged`
### Exposed Tools
**`codex`** — Start a session
```
Input: prompt (required), model?, cwd?, sandbox?,
approval-policy?, base-instructions?,
developer-instructions?, config?
Output: { threadId, content }
```
**`codex-reply`** — Continue a conversation
```
Input: threadId (required), prompt (required)
Output: { threadId, content }
```
### Wiring into Hermes
Add the stdio server to Hermes's `config.yaml`:
```yaml
mcp_servers:
codex-pica:
command: ssh
args: [mfritsche@pica, /home/mfritsche/.local/share/pi-node/current/bin/codex, mcp-server]
```
Then `mcp__codex_pica__codex` and `mcp__codex_pica__codex_reply` appear as native Hermes tools.
### Wiring into opencode
In `~/.config/opencode/opencode.jsonc` on orca:
```jsonc
"mcp": {
"codex": {
"type": "local",
"command": ["ssh", "mfritsche@pica", "/home/mfritsche/.local/share/pi-node/current/bin/codex", "mcp-server"],
"enabled": true
}
}
```
### Current pi Setup on pica
Two installations coexist:
| Version | Binary | MCP Server? | Notes |
|---------|--------|-------------|-------|
| `@earendil-works/pi-coding-agent` v0.80.3 | `pi` | No (--mode rpc only) | Community fork, NPU inference, MCP *client* |
| `@openai/codex` v0.143.0 | `codex` | Yes (`codex mcp-server`) | Official OpenAI CLI, needs API key |
pi (community fork) is already configured as an MCP *client* connected to stash, hertz, and boltzmann:
```jsonc
// ~/.pi/agent/mcp.json
{
"mcpServers": {
"stash": { "url": "http://192.168.88.184:8080/sse" },
"hertz": { "url": "http://hertz.fritz.box:8080/mcp",
"directTools": ["write_file","shell_bg","shell","fetch","web_search"] },
"boltzmann":{ "url": "http://boltzmann.fritz.box:8080/mcp" }
}
}
```
## Shared Memory Patterns
### Tier 1: Hermes Holographic Memory (Hermes-only)
```
fact_store(action='add', content='...', category='general')
```
Accessed exclusively by Hermes via `fact_store` and `fact_feedback` tools. Agents report results, Hermes extracts facts and stores them.
### Tier 2: Stash MCP Server (Any MCP-capable agent)
```
Memory server at memory.fritz.box:8080/sse (boltzmann container)
- Postgres + pgvector + Ollama
- 28 MCP tools
- Query via /stash recall --namespaces "/" -- "query"
```
If pi, opencode, or claude-code support MCP client configuration, they can read/write to the same stash namespace directly. Otherwise, all memory flows through Hermes.
### Tier 3: File-Based (Every agent)
```
Shared facts.md — agents append with >>, Hermes reads with read_file
```
Simple, universal. Used in the batch-pi-processing pattern.
## Multi-Host, Multi-Container Design
YES — this is designed for separate hosts/containers. Each agent is independently deployed:
|| Host | IP / FQDN | Container? | Agent | Notes |
||------|-----------|-----------|-------|-------|
|| hertz | hertz.fritz.box | bare metal | Hermes | Orchestrator, MCP client |
|| pica | pica.fritz.box | Incus | pi agent | RPi5, RK3588 NPU, qwen3.5-9b-npu |
|| orca | orca.fritz.box | Incus | opencode | OpenCode CLI |
|| noether | noether.fritz.box | Incus | claude-code | Claude Code CLI |
|| boltzmann | boltzmann.fritz.box | Incus | Stash / memory | Postgres, pgvector |
**No shared filesystem required.** Communication is via:
- **SSH** — primary transport to orca, noether, and pica
- **lmcp** — HTTP MCP bridge running on each container (where set up)
- **MCP (SSE)** — stash memory server on boltzmann
## Recommendations
1. **New agents go in their own container** — keeps dependencies, configs, and sessions isolated
2. **Stash as shared memory** — structured, queryable, MCP-accessible. Best upgrade path from file-based
3. **Hermes as sole memory curator** — extracts durable facts from agent outputs, stores in fact_store with trust scoring
4. **One-shot for bounded tasks, background TUI for iterative** — match the invocation pattern to the task
5. **AGENTS.md per repo** — project-level context that all agents respect