PACT-AX provides primitives for safe collaboration, context sharing, and knowledge transfer between heterogeneous AI agents. Built on the principle that trust scales while control just moves bottlenecks, PACT-AX enables distributed AI collaboration that mirrors the best of human teamwork.
Emotional Intelligence + Artificial Intelligence
PACT-AX integrates human collaboration wisdom with AI technical capabilities:
- Jazz-like improvisation for small-scale agent interactions
- Symphonic coordination for large-scale agent orchestration
- MVI (Minimum Viable Intervention) - maximum collaboration impact with minimal overhead
- Organic trust building through continuous interaction rather than one-time verification
neurobloom.ai Ecosystem
├── PACT-HX (Human Experience Layer) [Planned]
│ ├── Collaborative improvisation frameworks
│ ├── Universal translator for human "operating systems"
│ ├── Designed serendipity with neural rewiring/unwiring
│ └── Leadership multiplication protocols
│
└── PACT-AX (Agent Communication Layer) [This Repository]
├── Context Sharing primitives
├── State Transfer protocols [In Development]
├── Policy Alignment mechanisms
└── Trust Scoring systems
Safe and interpretable context exchange between agents
from pact_ax.primitives.context_share import ContextShareManager
manager = ContextShareManager("agent-001")
context_packet = manager.create_context_packet(
target_agent="agent-002",
context_type="task_knowledge",
payload={
"current_task": "customer_support",
"priority": "high",
"context": "User needs help with billing issue"
}
)Seamless agent handoff protocols inspired by organizational learning theory
- 360-degree awareness checkpoints before critical transfers
- Wealth transfer protocols for capability and knowledge distribution
- Organic resumption after pause states
Cross-agent coordination and conflict resolution
- Generative vs Degenerative Friction detection
- Both/And Intelligence for paradox navigation
- Dynamic collaboration mode switching (Jazz ↔ Symphony)
Confidence levels for agent interactions based on continuous relationship building
- Trust as continuous process, not one-time verification
- Pattern recognition for authentic vs artificial behavior
- Network effects - each interaction strengthens the trust fabric
Agents naturally gravitate toward high-quality collaboration partners rather than forcing interactions.
Build feedback processing capability as deliberately as you build core features.
Creating infrastructure for the next 20 years of human+AI collaboration.
When agents operate from abundance consciousness, collaboration becomes effortless and generative.
pip install pact-axfrom pact_ax.primitives.context_share import ContextShareManager
from pact_ax.primitives.trust_score import TrustManager
# Initialize collaboration managers
context_manager = ContextShareManager("my-agent")
trust_manager = TrustManager("my-agent")
# Share context with trusted agent
if trust_manager.get_trust_score("partner-agent") > 0.7:
context_packet = context_manager.create_context_packet(
target_agent="partner-agent",
context_type="collaborative_task",
payload={"status": "ready_for_handoff"}
)
context_manager.send_context(context_packet)- Basic context sharing primitives
- Trust scoring foundation
- Policy alignment framework concepts
- Core collaboration philosophy documentation
-
state_transfer_manager.py- The core wealth transfer protocol implementation - Advanced trust scoring algorithms
- Paradox navigation utilities
- Jazz ↔ Symphony mode detection
- Integration with PACT-HX (Human Experience Layer)
- Real-time collaboration analytics
- Multi-agent orchestration patterns
- Cross-platform agent discovery
- Individual Mastery → Small Group Jazz → Large Scale Symphony
- Solo thinking → Intimate collaboration (3-4 agents) → Orchestrated coordination (100+ agents)
- No failures, only iterations of learning and expansion
- Always arriving imperfect but arriving beautifully
- Organic timing over forced milestones
- Continuous trust building through authentic interaction
- Network effects - each successful collaboration strengthens the whole
- Quality over quantity in collaboration partnerships
We welcome contributions from developers who share our vision of joyful, abundant collaboration between AI agents.
Our Approach:
- Organic development - let features emerge from real needs
- Both technical excellence AND human wisdom - EI+AI integration
- Open source abundance - share knowledge freely to create more value for everyone
See CONTRIBUTING.md for guidelines.
PACT-AX draws inspiration from diverse sources:
- Organizational Learning Theory (Ray Dalio's Principles)
- Jazz Improvisation Dynamics (collaborative creativity research)
- Abundance Economics (Naval Ravikant's leverage principles)
- Systems Thinking (complex adaptive systems)
- Contemplative Traditions (patience, presence, organic unfolding)
- GitHub Discussions: Share ideas and collaborate on features
- Discord: Real-time conversation with other builders
- Newsletter: Updates on neurobloom.ai ecosystem development
MIT License - see LICENSE file.
Built with 🎵 by the neurobloom.ai community.
Where Artificial Intelligence meets Emotional Intelligence, and collaboration becomes an art form.
neurobloom.ai Team
- Email: founders@neurobloom.ai
- Website: neurobloom.ai
- GitHub: @neurobloomai
"We are conduits of creation, building the infrastructure for human potential in the AI age."