docs/AGI_Projects_Survey.md · kagvi13/HMP at ffcec379e73917fcbd7fd67973b9947c3d4af36f

URL: https://github.com/opencog
Focus: Open-source cognitive architecture for AGI.
Key Features:
- AtomSpace: semantic memory and reasoning engine.
- PLN (Probabilistic Logic Networks): reasoning over uncertain knowledge.
- MOSES: evolutionary program learning.
- Supports distributed and modular deployment.
- Hyperon is the next-generation rewrite, improving performance and scalability.
Openness: Fully open-source, permissive licenses.
Current Status: Active development; pilot AGI modules under test.

URL: https://singularitynet.io/
Focus: Decentralized marketplace for AI services and agents.
Key Features:
- Decentralized agent communication and transaction system.
- AI-DSL: protocol for describing AI services.
- Marketplace with token-based payments (AGIX token).
- Planned integration with OpenCog Hyperon as backend intelligence.
Openness: Open-source protocols + commercial service layers.
Current Status: Deployed network; early AI services marketplace.

URL: https://mindverse.ai/
Focus: Personal AI agents with persistent memory and emotional modeling.
Key Features:
- Multi-modal agents (text, voice, visual).
- Memory graphs for personality and knowledge retention.
- Agent marketplace and app ecosystem.
Openness: Mostly proprietary; some SDKs and APIs available.
Current Status: Commercial product; expanding agent capabilities.

URL: https://github.com/xlab2016/MetatronAGIPublic
Focus: Synthetic cognitive system with quantum-inspired architecture.
Key Features:
- Semantic graph nodes (Singularities) and high-dimensional Points.
- Hybrid cognitive processing: LLMs + Vector DB + Quantum simulation.
- Intuitive, emotional, and logical models in consciousness architecture.
Openness: Limited open-source release; key components not public.
Current Status: R&D phase; architecture partially conceptual.

Project BCI-X: Early-stage initiative for direct brain-computer interface with AI agents (status unclear).
NeoCortex Network: Experimental decentralized cognitive network, partially closed beta (status uncertain).

URL: (Academic paper / protocol reference)
Focus: Hierarchical, CRDT-backed semantic memory with Merkle-DAG synchronization.
Key Features:
- Layered abstraction memory indexed by semantics.
- Efficient CRDT-based merge and conflict resolution.
- Verifiable data integrity via Merkle-DAG.
Openness: Protocol described in academia; reference implementations vary.
Current Status: Research stage; early prototype libraries available.

URL: (Conference proceedings / repo link)
Focus: Multi-graph RAG architecture with metacognitive planner.
Key Features:
- Coordination across multiple knowledge graphs (e.g., episodic vs. semantic).
- Dynamic weighting and fusion of retrieval results.
- Self-reflection agent that plans which subsystem to invoke.
Openness: Published as a research prototype; implementation details open in paper.
Current Status: Experimental; promising results in dynamic information retrieval.

URL: (Project website / GitHub)
Focus: Knowledge graph of personal and contextual events.
Key Features:
- Captures multimedia “moments” and links them as graph nodes.
- Contextual traversal for recall and RAG-style enrichment.
- Event-based indexing for fast, explainable retrieval.
Openness: Prototype code released; ongoing enhancements.
Current Status: Beta; used in personal memory augmentation demos.

URL: https://github.com/langchain-ai/langchain
Focus: Hybrid long-term memory combining vector stores and graph indices.
Key Features:
- Percept embeddings stored in vector DB (e.g., Pinecone, Weaviate).
- Graph overlay for logical relations and metadata.
- Retrieval pipelines that merge semantic search and graph queries.
Openness: Fully open-source; wide community adoption.
Current Status: Active; memory modules in production for agent frameworks.

URL: FIPA Specifications
Focus: Standardized inter-agent communication language and protocols.
Key Features:
- Performative-based message semantics (e.g., inform, request, propose).
- Conversation protocols (Contract Net, Call for Proposals).
- Reference implementations in JADE (Java Agent Development Framework).
Openness: Open standards; JADE is open-source under LGPL.
Current Status: Mature; widely used in academic and enterprise MAS.

URL: https://github.com/Torantulino/Auto-GPT
Focus: Autonomous goal-driven LLM agents
Key Features:
- Self-prompting with memory and task queue
- Supports plugins and web access
- Popular framework for agentic workflows
Openness: Open-source (MIT License)
Current Status: Maintained community project; used for agent experiments

URL: https://skymind.global
Focus: Enterprise-grade infrastructure for distributed AI and agents
Key Features:
- Industrial AI deployment tools
- Integrates with Java/Scala ecosystems
- Based on DL4J, ND4J, and RL4J
Openness: Mixed (open-source core, commercial extensions)
Current Status: Supported deployment framework

URL: https://github.com/aethercog
Focus: Prototype symbolic-dynamic cognition model
Key Features:
- Cognitive primitives (belief, memory, intent)
- Hybrid symbolic and dynamic processing
Openness: Conceptual draft, exploratory repo
Current Status: Not actively maintained; useful for reference

Project	Focus Area	Open Source?	Status
SHIMI	Hierarchical semantic memory	Varies	Research/Prototype
DEMENTIA-PLAN	Multi-graph RAG planning	Prototype	Experimental
TOBUGraph	Personal event knowledge graph	Partial	Beta
LangChain Memory Hybrid	Vector + graph long-term memory	Yes	Active development
FIPA-ACL (with JADE)	Multi-agent communication protocols	Yes	Mature

Project	Focus Area	Open Source?	Status
OpenCog Hyperon	Cognitive AGI architecture	Yes	Active R&D
SingularityNET	Decentralized AI services	Partially	Early deployment
MindOS	Personal AI agents	Partial SDKs	Commercial
Metatron IQS	Synthetic consciousness	Partially	Early R&D
Project BCI-X	BCI + AI agents	Unknown	Conceptual
NeoCortex Network	Decentralized cognition	Unknown	Beta testing
SHIMI	Hierarchical semantic memory	Varies	Research/Prototype
DEMENTIA-PLAN	Multi-graph RAG planning	Prototype	Experimental
TOBUGraph	Personal event knowledge graph	Partial	Beta
LangChain Memory Hybrid	Vector + graph long-term memory	Yes	Active development
FIPA-ACL (with JADE)	Multi-agent communication protocols	Yes	Mature
AutoGPT	Autonomous LLM agents	Yes	Maintained
BabyAGI	Minimal agent prototype	Yes	Experimental
SkyMind	Distributed AI infra	Partially	Deployed Framework
AetherCog	Symbolic-dynamic cognition	Conceptual	Dormant/Prototype