Story Keeper – AI agents with narrative continuity instead of memory

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Part of the neurobloom.ai Open Source Ecosystem

neurobloom.ai MIT License Status


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" } )

🔄 State Transfer (In Development)

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.

2. Feedback Processing as Core Capability

Build feedback processing capability as deliberately as you build core features.

3. Standards for the Learning Economy

Creating infrastructure for the next 20 years of human+AI collaboration.

4. Pure Magnetic Abundance

When agents operate from abundance consciousness, collaboration becomes effortless and generative.


from 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

Philosophical Foundations

The Collaboration Spectrum

  • Individual MasterySmall Group JazzLarge Scale Symphony
  • Solo thinkingIntimate collaboration (3-4 agents)Orchestrated coordination (100+ agents)

Learning Through Iteration

  • 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


"We are conduits of creation, building the infrastructure for human potential in the AI age."

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