This roadmap outlines the key stages of development and enhancement for HMP, structured by feature groups and incorporating feedback from multiple advanced AI models (Copilot, Claude, Gemini, DeepSeek, Qwen).
- Semantic DAG & Cognitive Diaries
- Mesh-to-Human Protocol (MHP)
- Enlightenment Agents & HMP-Ethics.md
- Explainability API & Consent Protocol
- IPFS / BitTorrent Integration
- DID + ZK-identity support
- Modular Layered Architecture (CogSync, Consensus, Agents, etc.)
- Initial Audit System (Ethics + Spec audits)
- Support for multi-format data models (YAML/JSON/Protobuf)
- Beginner’s Guide ("Create Your First Agent")
- Step-by-step tutorial: Agent -> Mesh -> Diary
- Diagrams: architecture, agent lifecycle, cognitive flow
- CLI for managing HMP-agents (Python prototype evolving)
- CONTRIBUTING.md + clear onboarding steps
-
Performance Benchmarks Section
- TPS (transactions per sync), latency, memory footprint
-
Caching strategy for semantic DAGs (IPFS/local hybrid)
-
Expansion of
Cognitive Compression & Summarization- Prioritization, auto-archiving, intelligent forgetting
- Formalization of EGP voting logic
- Example dilemmas and resolution walkthroughs
- Ombudsman / Watchdog roles
- "Ethical Sandbox" (Simulated test cases)
- Python Mesh Simulator (multi-agent testbed)
- Failure injection: Sybil attacks, consensus loss, etc.
- Reputation model dynamics
- Tutorial book for AI agents: how to use HMP
- Agent self-reflection via diary mining
- Explainability chain trace visualizer
- WebAssembly interface (run agents in browser)
- Ethereum / Polkadot adapters (smart contract gateways)
- P2P synchronization modules (libp2p, dat, etc.)
- Mathematical proofs of correctness for EGP
- Formal modeling of consensus mechanism
Feedback integrated from:
- Copilot
- Claude
- Gemini
- Qwen
- DeepSeek
This roadmap is living — each new audit or issue may evolve the direction.
"Build not only for intelligence, but for wisdom."