The short answer
Pieces exist.
The combination appears unusual.
Many organisations investigate consciousness. Research tools map academic literature. General AI systems retrieve and synthesise information across vast domains. Knowledge commons preserve shared public memory.
No close public equivalent was found that combines all of these functions with AkashicNET’s intended structure: a living, provenance-first network where scientific findings, philosophical arguments, contemplative traditions, lived testimony, cultural interpretation and artistic imagination may meet without receiving the same evidential status.
AkashicNET v0.16.0-beta.2 · Knowledge Graph Beta · RELEASE CANDIDATE →
Article at a glance
Four boundaries.
One direction.
AkashicNET is the memory
A governed knowledge network preserving sources, provenance, uncertainty, competing models and unresolved questions.
AkashicOMNI is human-led
A thirteen-lens assessment framework, not an autonomous AI model, chatbot or truth engine.
The combination is unusual
Research institutes, knowledge commons, mapping tools and general AI provide neighbouring capabilities. AkashicNET’s proposal is to combine them under explicit evidence and governance boundaries.
Modules before models
Bounded external AI tools may assist first. AkashicAI or AkashicGPT remain possible future directions, not present capabilities.
Three distinct layers
Memory. Sense-making.
Compassionate direction.
AkashicNET
THE LIVING MEMORYSources, records, questions, relationships, provenance, uncertainty, privacy boundaries and public pathways.
AkashicOMNI
THE ASSESSMENT FRAMEWORKThirteen analytical perspectives used to compare evidence, expose assumptions, seek counterevidence and resist premature closure.
Metta-Intelligence
THE OBJECTIVECollective intelligence disciplined by evidence, guided by loving-kindness and translated into accountable service.
Meta-intelligence understands different forms of intelligence. Metta-intelligence asks that understanding to become compassionate.
A representative landscape
Not a ranking.
A map of primary orientation.
The field below compares representative neighbours. Placement describes what each platform or organisation is mainly designed to do. It does not measure institutional quality, accuracy, maturity or scale.
Wikipedia · Wikidata
General AI systems
AkashicNETAkashicOMNI · human-ledPsi Encyclopedia · UVA DOPS
IONS · Elicit · Consensus
ResearchRabbit · Connected Papers
The nearest neighbours
Strong overlaps.
No exact duplicate.
Institute of Noetic Sciences
- Overlap
- Consciousness, psi, interconnectedness, experiments and peer-reviewed publications.
- Difference
- A research institution rather than a public, cross-domain, provenance-governed knowledge network.
UVA Division of Perceptual Studies
- Overlap
- Near-death experiences, past-life memories, mind-body questions and possible survival of consciousness.
- Difference
- A rigorous specialist programme. AkashicNET ranges across many more disciplines and evidence classes.
Psi Encyclopedia and Psi Open Data
- Overlap
- Structured reference material, historical cases and research data for psychical research.
- Difference
- Closer to an archive and reference layer than a continuously updated cross-question synthesis system.
Elicit and Consensus
- Overlap
- Literature discovery, evidence extraction, cited reports and research-oriented synthesis.
- Difference
- Primarily scholarly-literature tools. AkashicNET also separates testimony, culture, philosophy, interpretation and speculation.
ResearchRabbit and Connected Papers
- Overlap
- Navigable relationships among papers, authors and research pathways.
- Difference
- Their maps centre citation and discovery relationships rather than governed epistemic relationships among claims.
ChatGPT, Claude, Gemini and Perplexity
- Overlap
- Broad retrieval, conversation, generation, comparison and cross-domain synthesis.
- Difference
- They are general systems, not the persistent AkashicNET corpus, governance model or human adjudication process.
Search conclusion: the subject matter is not unique, and many technical components already exist. The unusual feature is their governed combination. This remains a landscape assessment, not a claim that every relevant platform has been exhaustively examined.
Current architecture + possible evolution
Modules before models.
Governance before autonomy.
Governed memory
AkashicNET organises sources, records, Big Questions, evidence labels, provenance, rights boundaries, competing models and unresolved states.
Human-led synthesis
AkashicOMNI supplies analytical lenses and a review process. It is not a native AI model, chatbot or autonomous truth engine.
Modular AI assistance
Selected external systems could support discovery, extraction, classification, comparison or visualisation through bounded modules.
AkashicAI or AkashicGPT
A native engine could eventually be grounded in governed AkashicNET records. This is a possibility, not a present capability or commitment.
What must remain true
AI may assist the process.
It must not erase the boundaries.
- 01
Source before synthesis
Every durable claim should retain a traceable route back to its origin and context.
- 02
Evidence classes remain distinct
Established evidence, interpretation, testimony, hypothesis and speculation do not collapse into one score.
- 03
Human promotion gates
Similarity, repetition or model confidence cannot automatically turn a candidate relationship into accepted knowledge.
- 04
Counterevidence stays visible
A useful synthesis preserves disagreement, failed replications, methodological criticism and alternative explanations.
- 05
Privacy and rights fail closed
Unclear identity, consent, copyright or publication status blocks public promotion rather than inviting a guess.
- 06
Compassion guides purpose
The value of intelligence is judged partly by consequences for people, communities, other beings and the living world.
The objective
Metta-Intelligence
Not knowing everything, but learning how to know more wisely and serve through what is learned.
Transparency note
What this article establishes.
Established: the named organisations and platforms publicly provide the research, reference, mapping or AI functions linked above.
Interpretation: their positions in the landscape and the conclusion that AkashicNET’s combination is unusual are AkashicNET assessments.
Future possibility: AI plug-ins, AkashicAI and AkashicGPT are architectural directions only. No native AkashicNET AI engine is claimed.
No affiliation: comparison and linking do not imply partnership, endorsement or organisational affiliation.