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HearthNet — Project Status
Consolidated June 15, 2026 · Build Small Hackathon · merged from tasks.md
What Was Built
489 tests, 0 failures. All Phase 1 (M01–M13, X01–X04), Phase 2 (M14–M25, X05–X07), and Phase 3 experimental (M26–M31) modules implemented. See ARCHITECTURE.md for the full module map and data flows.
| Phase | Modules | Status |
|---|---|---|
| Phase 1 | M01 Identity · M02 Discovery · M03 Bus · M04 LLM · M05 RAG · M06 Marketplace · M07 Files · M08 UI · M09 Emergency · M10 Chat · M11 Embedding · M12 CLI · M13 Onboarding · X01–X04 | ✅ Complete |
| Phase 2 | M14 Federation · M15 Relay · M16 Tokens · M17 OCR · M18 Translation · M19 STT/TTS · M20 Vision · M21 Tools · M22 Mobile · M23 E2E Crypto · M24 Rerank · M25 Group Chat · X05–X07 | ✅ Complete |
| Phase 3 | M26 Distributed inference · M27 MoE · M28 Fedlearn · M29 LoRa · M30 Evidence · M31 Civil Defense | ✅ Registered (compute stubs — see Remaining Gaps) |
Internet mesh (relay hub, P1–P3): CompositeTransport + RelayHub + RelayClient
with SQLite-backed roster persistence. All-to-all over a real uvicorn relay.
Tests: tests/test_relay_mesh.py (all pass).
Security audit (June 12): CVE-2025-3000 (PyTorch) and CVE-2025-71176 (pytest) patched.
florence2.py trust_remote_code allowlist added. Full report: SECURITY_AUDIT_ASSESSMENT.md.
Bugs Fixed (June 14)
| Fix | File |
|---|---|
FIX-1: node.start() never set _started = True → stop() silently no-oped |
hearthnet/node.py |
FIX-2: ChatService.send() swallowed all exceptions silently |
hearthnet/services/chat/service.py |
FIX-3: UTC = UTC dead re-assignment (copy-paste artifact) |
chat/service.py, marketplace/service.py |
FIX-4: RagService defaulted corpora_dir to cwd instead of ~/.hearthnet/corpora |
hearthnet/services/rag/service.py |
FIX-5: Seed corpus never ingested — handle_ingest ignored {"documents": [...]} batch format |
service.py, app.py |
FIX-6: asyncio.run(_seed_corpus()) raised RuntimeError when loop already running |
app.py |
FIX-7: app.py created RagService without corpora_dir → corpus written to cwd |
app.py |
FIX-8: Router._sticky dict grew unbounded (memory leak) |
hearthnet/bus/router.py |
15 additional targeted improvements (June 15):
RAG SQLite persistence, bus failover for quarantined providers, brace-matching JSON parser
in agent, MoE expert self-registration, schema_hash prefix fix (sha256:),
corpus param plumbing, federated_query wiring, silent exception sweep.
See tests/test_improvements_batch.py (13 tests, all pass).
Hackathon Prize Status
| # | Action | Status |
|---|---|---|
| P1 | Demo video recorded | ✅ Done |
| P2 | Social post on X @zX14_7 | ✅ Done |
| P3 | NVIDIA_API_KEY set in HF Space secrets | ✅ Done |
| P4 | Deploy app_nemotron.py as second HF Space |
✅ Done — feat/nemotron-space branch → build-small-hackathon/HearthNet-Nemotron |
| P5 | MiniCPM3-4B as default model (OpenBMB prize) | ✅ Done — MODEL_ID default changed in app.py |
| P6 | modal deploy scripts/modal_deploy.py |
✅ Done — scaledown_window fix applied |
| P7 | GitHub Codex commits | ✅ Done |
HF Spaces:
- Main:
https://huggingface.co/spaces/build-small-hackathon/HearthNet(app.py, MiniCPM3-4B default) - Nemotron:
https://huggingface.co/spaces/build-small-hackathon/HearthNet-Nemotron(app_nemotron.py, SmolLM2 fallback when no API key)
Genuine Remaining Gaps
Real stubs / not implemented
| Location | Gap | Effort |
|---|---|---|
hearthnet/distributed_inference/shard.py:75 |
ShardServer.forward() raises NotImplementedError — needs torch model-slicing |
High (M26 roadmap) |
hearthnet/distributed_inference/pipeline.py:84 |
PipelineOrchestrator.run() raises NotImplementedError — M26 experimental |
High |
hearthnet/lora/service.py:96 |
_transmit() stub — skips silently without pyserial hardware |
Medium (M29, hardware-gated) |
hearthnet/services/marketplace/service.py:81 |
Falls to "demo mode" on any event_log exception — silent degradation | Low |
| M28 | FedLearnCoordinator compute path — peft gradient aggregation not wired |
High |
| M23 | X3DH / Double Ratchet E2E encryption implemented but not wired as default in chat | Medium |
Healthy degradation (not bugs)
All backend_unavailable responses in OCR / STT / TTS / Translation / Image services
are intentional: optional deps absent → clear error message, no silent failure.
_UnavailableBackend in LlmService is the correct fallback when no backends are loaded.
P4 browser–Python bridge (deferred)
Browser mesh (webagent/src/mesh/browsermesh.js, PeerJS/WebRTC) and the Python relay
currently run as separate meshes. Bridging them (bidirectional WebRTC↔mailbox
translation, ICE/TURN) is deferred — P1–P3 relay proven first.
Post-Hackathon Roadmap
[ ] pip install hearthnet — pyproject.toml ready; not yet on PyPI
[ ] M26 ShardServer.forward() — real torch sharding
[ ] M28 Federated learning — peft gradient aggregation
[ ] M29 LoRa hardware — pyserial serial port integration
[ ] M23 E2E chat encryption — wire X3DH/Double Ratchet as default
[ ] Browser↔Python mesh bridge — P4 internet mesh
[ ] Custom non-Gradio UI — modern HTML/CSS alongside reference UI
[ ] Docker image publish — Dockerfile.slim exists, CI publish pending
Deployment Checklist
[x] NVIDIA_API_KEY secret → Nemotron backend auto-activates
[x] HEARTHNET_DATA_DIR set → persistent data survives Space restarts
[x] ZeroGPU Space confirmed
[x] Demo video URL in README
[x] Social post URL in README
[ ] MODAL_ENDPOINT secret → set after `modal deploy scripts/modal_deploy.py`
[ ] MINICPM_URL secret → optional vLLM/llama.cpp endpoint for external MiniCPM server