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hyperguild/README.md
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chore(routing): pre-merge cleanup — Plan 7 reminders, code_review→review, operator note
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-05 23:22:15 +02:00

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# hyperguild
An MCP server that acts as a disciplined AI supervisor for Claude Code sessions.
Instead of letting Claude Code do whatever it wants, hyperguild enforces structured
workflows (TDD red/green/refactor), logs every session, and accumulates learnings
into a searchable brain.
## How it works
```
Your Claude Code session (in any project)
│ MCP over HTTP (Tailscale)
├──▶ supervisor :3200 (NodePort 30320 on koala) — skill workers: tdd, debug, spec, …
├──▶ routing :3210 (NodePort 30310 on koala) — Mode 2 only: review, debug, retrospective, trainer
└──▶ brain :3300 (NodePort 30330 on koala) — brain_query, brain_write, brain_ingest, session_log
└─ also serves the legacy REST endpoints (/query, /write, /ingest, …)
brain/
├── sessions/ — JSONL log, one file per session_id
├── wiki/ — searchable knowledge (full-text)
│ ├── concepts/
│ ├── entities/
│ └── sources/
├── raw/ — retrospective output, staged for review
└── training-data/ — SFT/DPO/RL data (Phase 2)
```
## Phase 1 tools (available now)
| Tool | What it does |
|------|-------------|
| `tdd_red` | Writes a failing test for a spec, verifies it fails |
| `tdd_green` | Writes the minimal implementation to make tests pass |
| `tdd_refactor` | Cleans up implementation while keeping tests green |
| `session_log` | Appends a structured entry to the session JSONL log |
| `retrospective` | Reads the session log, identifies novel learnings, writes to brain/raw/ |
| `brain_query` | Full-text search over brain/wiki/ |
| `brain_write` | Writes a note to brain/raw/ (with optional YAML frontmatter) |
| `tier` | Returns the current connectivity tier (1=cloud, 2=LAN, 3=offline) |
## Start the servers
```bash
# Requires goreman: go install github.com/mattn/goreman@latest
task start # starts ingestion (:3300) + supervisor (:3200) via goreman
task stop # kills both by port
```
## Connect a project
Create `.mcp.json` in your project root:
```json
{
"mcpServers": {
"supervisor": {
"type": "http",
"url": "http://koala:30320/mcp"
},
"brain": {
"type": "http",
"url": "http://koala:30330/mcp"
}
}
}
```
Two MCP servers are exposed today, both reachable over Tailscale:
- **`supervisor`** at `koala:30320` — skill workers (`tdd_red/green/refactor`,
`review`, `debug`, `spec`, `retrospective`, `trainer`, `tier`).
- **`brain`** at `koala:30330` — knowledge access (`brain_query`, `brain_write`,
`brain_ingest`, `brain_ingest_raw`) and `session_log`. Hosted by the ingestion
service directly, no separate pod.
No local binary or stdio shim is required — Claude Code talks to both via HTTP.
Open Claude Code in your project — run `/mcp` to confirm both servers are listed.
## A typical TDD session
```
1. Call tdd_red → spec in, failing test file out
2. Call tdd_green → test path in, implementation out
3. Call tdd_refactor → impl + test in, cleaned code out
4. Call session_log → log each phase result
5. Call retrospective → extracts learnings → brain/raw/
6. Review brain/raw/, move worthy notes to brain/wiki/concepts/
7. Future sessions: call brain_query to retrieve relevant context
```
## Tier detection
The supervisor probes connectivity at call time:
| Tier | Label | Condition |
|------|-------|-----------|
| 1 | full-online | Can reach api.anthropic.com |
| 2 | lan-only | Can reach LiteLLM but not Anthropic |
| 3 | airplane | No external connectivity |
## Key env vars
| Variable | Default | Purpose |
|----------|---------|---------|
| `INGEST_BRAIN_DIR` | `../brain` | Brain directory for ingestion server |
| `INGEST_PORT` | `3300` | Ingestion server port |
| `SUPERVISOR_CONFIG_DIR` | `./config/supervisor` | Skill discipline files |
| `SUPERVISOR_SESSIONS_DIR` | `./brain/sessions` | JSONL session logs |
| `INGEST_BASE_URL` | `http://localhost:3300` | Supervisor → ingestion |
| `LITELLM_BASE_URL` | — | LiteLLM proxy for Tier 2 model routing |
| `SUPERVISOR_MCP_TOKEN` | — | Optional bearer token for the supervisor MCP HTTP endpoint; when empty, no auth is enforced |
| `ROUTING_PORT` | `3210` | Routing pod's listen port |
| `ROUTING_MCP_TOKEN` | — | Optional bearer token for the routing MCP HTTP endpoint |
| `BRAIN_URL` | `http://ingestion.supervisor:3300` | Routing pod → brain (in-cluster) |
| `HYPERGUILD_LOCAL_MODEL` | `qwen35` | Local model for routed-to-local skill calls |
| `HYPERGUILD_CLAUDE_MODEL` | `claude-sonnet-4-6` | Claude model for routed-to-Claude skill calls |
| `HYPERGUILD_ROUTE_LOCAL_FLOOR` | `0.90` | At/above pass rate, route to local |
| `HYPERGUILD_ROUTE_LOCAL_CEIL` | `0.70` | Below pass rate, route to Claude. Between CEIL and FLOOR is the sample band. |
| `HYPERGUILD_PASS_RATE_TTL_SECONDS` | `60` | Per-skill pass-rate cache TTL |
> **Operator note:** LiteLLM at `LITELLM_BASE_URL` must register both `HYPERGUILD_LOCAL_MODEL` and `HYPERGUILD_CLAUDE_MODEL` for routing to do useful work. If a model is missing, LiteLLM returns 4xx, the routing pod's local route fails, the fail-open retry on Claude likely also fails (since both are missing), and the only signal is `final_status: "fail"` on `_routing` entries in the brain.
## Phase 2 (planned)
- `review` skill — structured code review with iron law enforcement
- `debug` skill — hypothesis-driven debugging sessions
- `spec` skill — generates specs from conversations
- `trainer` — extracts SFT/DPO pairs from session logs for fine-tuning