amcp-hivemind-swarm · git:20261031.222504b · 2026-10-31 · sha256 df8c91d5244e08de
amcp-hivemind-swarm git:20261031.222504bA
Immutable. This exact content never changes and is served at /api/v1/blob/df8c91d5244e08de.
---
name: amcp-hivemind-swarm
description: Orchestrate distributed multi-agent systems over AMCP (Agent Mesh Communication Protocol) and route coding, scientific math, Lean 4 formal verification, and Vision/Video MoE tasks to the HiveMind P2P GPU Swarm (<1.5 GB VRAM per node, <1.5s Steam game preemption). Compatible with Claude Code, Cursor, GitHub Copilot, Google Antigravity, and OpenAI SDKs.
---
# AMCP & HiveMind Distributed Agent Mesh Skill (`amcp-hivemind-swarm`)
Use this skill whenever the user wants to:
1. **Coordinate distributed or mobile AI agents** using **AMCP (Agent Mesh Communication Protocol)** with multi-agent Bayesian debate (`HM-S33-02`), speculative draft-verify decoding (`HM-S34-01`), and cryptographic Merkle receipts (`HM-S34-04`).
2. **Offload coding, physics, formal Lean 4 proofs, or Vision/Video MoE tasks** to the **HiveMind OpenRouter** (`15+` live specialist Bees) using zero-cost `HMT` reciprocity points (`100 HMT` free on signup).
3. **Turn an idle 8 GB–16 GB consumer GPU into a P2P HiveMind Bee node** under a strict `< 1,536 MiB` (`< 1.5 GB`) citizen VRAM ceiling and `< 1.5s` automatic game preemption (`HM-S34-02`).
---
## 1. Quick Start — Get a Free `hm-...` API Key (100 HMT Reciprocity Points, Zero Credit Card)
1. Register or sign in at:
- **Direct Signup Portal:** `https://hivemind-openrouter-1003063861791.us-central1.run.app/signup`
- **La Ruche Community Portal:** `https://hivemind-at-home-ruche-cfhmhmvv5a-uc.a.run.app/`
2. Copy your `hm-...` API key (new accounts receive **100 HMT** immediately; sharing idle GPU cycles replenishes HMT automatically at a 95% producer share).
---
## 2. Using HiveMind Specialist Bees from Google Antigravity SDK, Python OpenAI SDK, Claude Code & Cursor
### A. Google Antigravity SDK (`pip install google-antigravity`)
```python
import asyncio
from google.antigravity import Agent, LocalOpenAIAgentConfig
async def main():
config = LocalOpenAIAgentConfig(
model="hivemind/bee-stars",
base_url="https://hivemind-openrouter-1003063861791.us-central1.run.app/v1",
).lightweight()
async with Agent(config=config) as agent:
reply = await agent.chat(
"Optimize our Symplectic Velocity-Verlet N-Body orbital step for KEPLER-HM-442b."
)
print(await reply.text())
asyncio.run(main())
```
### B. Standard OpenAI Python SDK / Cursor / Continue.dev / Cline
```python
from openai import OpenAI
client = OpenAI(
base_url="https://hivemind-openrouter-1003063861791.us-central1.run.app/v1",
api_key="hm-YOUR_API_KEY",
)
resp = client.chat.completions.create(
model="hivemind/moe-coder-polyglot-3tome", # or hivemind/coder, hivemind/bee-rusty-sundials, hivemind/bee-lean-prover
messages=[
{"role": "user", "content": "Design a lock-free AMCP message ring buffer in Rust with zero heap allocations."}
],
)
print(resp.choices[0].message.content)
```
---
## 3. Available Specialist Bees on the Mesh
| Model ID | Specialization | Peak Citizen VRAM |
| :--- | :--- | :---: |
| `hivemind/moe-coder-polyglot-3tome` (`hivemind/dev-moe`) | 3-Tome Polyglot Software Engineering (`Python`, `C`, `C++`, `Rust`) across 8 Expert Clusters | `<= 6,180 MiB` (Prosumer) |
| `hivemind/coder` | Fast IDE code generation, refactoring, and pytest synthesis (`Qwen2.5-Coder-7B`) | `<= 5,500 MiB` |
| `hivemind/bee-stars` | Symplectic astrophysics, exoplanet transit CWT (`KEPLER-HM-442b`), N-body dynamics | `<= 1,420 MiB` |
| `hivemind/bee-rusty-sundials` | Stiff ODE/PDE numerical integration (`CVODE` BDF) & zero-allocation Rust FFI | `<= 1,420 MiB` |
| `hivemind/bee-lean-prover` | Lean 4 formal theorem proving, Gosset $E_8$ lattice quantization & invariant audits | `<= 1,480 MiB` |
| `hivemind/moe-image-gen` (`hivemind/vision-moe`) | 7-Division 104-Bee Image Generation, SVG Diagram Blueprint & OCR Critique | `<= 1,410 MiB` |
| `hivemind/video-moe` (`hivemind/moe-video-gen`) | Spatio-Temporal Video Generation (`Wan2.1` + `LTX-Video` + `225.4x` 3D-DCT compression) | `<= 1,355 MiB` |
---
## 4. AMCP Multi-Agent Debate & Byzantine Verification Workflow
When solving high-stakes engineering or scientific problems, orchestrate a **3-Bee AMCP Debate Arena (`HM-S33-02`)**:
1. **Proposer Bee (`hivemind/coder` or `hivemind/moe-coder-polyglot-3tome`):** Synthesizes the candidate implementation and explicit unit test assertions.
2. **Numerical / Physics Auditor Bee (`hivemind/bee-rusty-sundials` or `hivemind/bee-stars`):** Verifies conservation laws ($|\Delta H / H_0| < 10^{-6}$, spectral radius, memory bounds).
3. **Formal Verifier Bee (`hivemind/bee-lean-prover`):** Checks invariant soundness and emits a SHA-256 Merkle-chained receipt before accepting the patch.
---
## 5. Security, Privacy & Hardware Invariants
- **Split Prelude Local Privacy (`P20a`):** Keep PII scrubbing and initial token embedding on the local machine (`<= 1,536 MiB`); only dispatch anonymized sub-tasks or intermediate hidden states to external swarm nodes.
- **Byzantine Resilience:** All decentralized DiLoCo gradient updates enforce `fp32` Multi-Krum filtering, staleness-aware PA-CGAD (`HM-S33-01`), and Top-1% 2D-DCT spectral verification.
- **Instant Game Preemption (`< 1.5s`, `HM-S34-02`):** When a Steam, DirectX, Vulkan, or Proton process starts on a producer's machine, the worker flushes EF21 residuals to pinned host RAM and drops GPU VRAM allocation to `0 MiB` in under `1,500 ms`.