Hugging Face's logo

Spaces:
hirann
/
immunoorg-2
Sleeping

App Files Community
immunoorg-2
File size: 4,701 Bytes
788dd2e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
---
title: ImmunoOrg 2.0 - Autonomous Self-Healing Enterprise
emoji: 🛡️
colorFrom: blue
colorTo: purple
sdk: docker
pinned: true
license: mit
short_description: AI DevSecOps + War Room + 50-step MTD RL env
---

# ImmunoOrg 2.0 — The Autonomous, Self-Healing Enterprise
### AI DevSecOps Mesh | Multi-Agent War Room | Polymorphic Migration | Executive Context Engine

[![OpenEnv](https://img.shields.io/badge/OpenEnv-Compliant-brightgreen)](https://openenv.ai)
[![Version](https://img.shields.io/badge/version-2.0.0-blue)](./openenv.yaml)
[![Themes](https://img.shields.io/badge/themes-4%2F4-purple)](./openenv.yaml)
[![Bonus Prizes](https://img.shields.io/badge/bonus%20prizes-6%2F6-gold)](./openenv.yaml)

> **OpenEnv Hackathon** April 26, 2026
> Bonus: Halluminate | Fleet AI | Mercor | Scale AI | Patronus AI | Snorkel AI

---

## Quick Links

| Resource | Link |
|---|---|
| **HuggingFace Space** | https://huggingface.co/spaces/hirann/immunoorg-2 |
| **Training Colab** | [ImmunoOrg_Training_Colab.ipynb](./ImmunoOrg_Training_Colab.ipynb) |
| **Blog Post** | [BLOG_POST.md](./BLOG_POST.md) |
| **Submission Checklist** | [SUBMISSION_CHECKLIST.md](./SUBMISSION_CHECKLIST.md) |

---

## What is ImmunoOrg 2.0?

ImmunoOrg 2.0 is a next-generation OpenEnv RL environment simulating an **entire enterprise** as a living organism under attack. The biggest vulnerability is not a missing patch — it is the **3-day approval delay** while an exploit is actively weaponized.

---

## Feature Matrix

| Module | Theme | Bonus Prize | File |
|---|---|---|---|
| Multi-Agent War Room | Multi-Agent | Halluminate + Snorkel AI | `immunoorg/war_room.py` |
| AI DevSecOps Mesh (4 Gates) | World Modeling | Fleet AI | `immunoorg/devsecops_mesh.py` |
| 50-Step Polymorphic Migration | Long-Horizon Planning | Scale AI | `immunoorg/migration_engine.py` |
| Executive Context + Schema Drift | World Modeling | Patronus AI | `immunoorg/executive_context.py` |
| Time-Travel Forensics + Auto-Patch | Self-Improvement | Mercor | `immunoorg/self_improvement.py` |
| 5-Track Composable Reward | All Themes | -- | `immunoorg/reward.py` |

---

## Results & Evidence

### Policy Comparison

![Policy Comparison](https://raw.githubusercontent.com/Charannoo/immunoorg/master/evidence_policy_comparison.png)

| Agent | Level 1 | Level 2 | Level 3 |
|:---:|:---:|:---:|:---:|
| Random Baseline | -0.89 | -9.9 | -16.6 |
| **Heuristic (Gold)** | **+3.62** | **-2.1** | **-5.8** |

### Self-Healing Loop (6 Generations)

![Self Improvement](https://raw.githubusercontent.com/Charannoo/immunoorg/master/evidence_self_improvement.png)

- Org efficiency: 0.312 -> 0.469 (+50%)
- Time-to-Containment: 48 -> 28 steps (-42%)

### 5-Track Reward & War Room Activity

![5-Track Reward](https://raw.githubusercontent.com/Charannoo/immunoorg/master/evidence_5track_reward.png)

![War Room Mesh](https://raw.githubusercontent.com/Charannoo/immunoorg/master/evidence_war_room_mesh.png)

### Org Before/After Self-Healing

![Org Before After](https://raw.githubusercontent.com/Charannoo/immunoorg/master/evidence_org_before_after.png)

---

## Quickstart

```bash
git clone https://github.com/YOUR_USERNAME/immunoorg
cd immunoorg
pip install -r requirements.txt

python demo_runner.py           # Full policy comparison
python visualization/dashboard.py  # God Mode Dashboard (localhost:7860)
python generate_evidence_2.py  # Regenerate evidence charts
python test_2_0_smoke.py       # Smoke test all 2.0 systems
```

---

## 5-Track Reward Model

| Track | Weight | Signal |
|---|:---:|---|
| Uptime | 25% | SLA adherence during incident |
| Threat Neutralization | 25% | Attacker containment + belief accuracy |
| Bureaucracy Efficiency | 20% | War Room consensus speed |
| Code Quality (Mercor) | 20% | `1/log2(tokens) x test_pass_rate` |
| Pipeline Integrity | 10% | Gate 1 catch = 1.5x shift-left bonus |

---

## Bonus Prize Coverage

| Prize | Implementation |
|---|---|
| **Halluminate** | War Room FactStore cross-validates claims before any action executes |
| **Snorkel AI** | PreferenceInjection API: judges inject HIPAA/UPTIME/LEGAL_HOLD mid-debate |
| **Scale AI** | 50-step migration with constraint propagation across phases |
| **Fleet AI** | FleetAIOversightAgent: atomic lockout across GitHub/Slack/AWS/Jira/MySQL |
| **Patronus AI** | ExecutiveContextEngine: mid-episode API schema drift adaptation |
| **Mercor** | Patch quality = 1/log2(token_count) x test_pass_rate |

---

## Training

Base model: `Qwen/Qwen2.5-7B-Instruct` | Method: GRPO + Unsloth LoRA

```bash
python training/train_grpo.py --max_steps 20  # Quick local test
# Full training: open ImmunoOrg_Training_Colab.ipynb in Colab
```

## License

MIT