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Akasha Seeds — v1.1

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@akashicmaster akashicmaster released this 08 Jul 15:59
v1.1
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Akasha Seeds — v1.1

A local-first semantic knowledge system for researchers, thinkers, and anyone who wants their notes to do more than sit in a folder.

What is Akasha?

Akasha is a concept-oriented operating system. Instead of organising information into documents or records, it stores atoms — content-addressed chunks of meaning — connected by typed links. The semantic space that emerges between those links is what makes Akasha different from every other note-taking or knowledge tool.

No cloud. No account. Runs locally. Your knowledge stays yours.

What's new in v1.1

  • Meaning-layer search — sim (atoms that mean the same thing), search (free-text semantic search), node.sim (atoms connected the same way), view (one atom's meaning with resonance), and emotion.find. The semantic models learn from your own ontology and graph in the background — no external AI service.
  • A defined lexicon — namespaces and relation labels now carry proper human- and LLM-readable definitions; recall output shows readable relation names.
  • Word-level recall that reaches the ontology — r <word> surfaces the defining body atoms behind a word, in both directions, with previews.
  • Unified pagination — long outputs page consistently (page: 1–10 of N · more).
  • New Concept Models — Recipe, Formula, and Archives join the ecosystem.
  • Roughly 3× larger built-in ontology — humanities, sciences, food systems, history, and a curated lexicon pack, loaded through an ordering-safe two-phase loader.
  • A developer verification suite — structural invariants, load tests, a red-team harness, and post-load data verifiers ship in test/.

Getting started

Requirements: Python 3.10 or later. macOS, Linux, or Windows.

# 1. Create an empty folder and place akasha_seeds_seeds11.py inside it, then:

python akasha_seeds_seeds11.py   # extracts into the current folder

python akasha.py                 # start (subsequent launches use this command)

On first launch, Akasha loads its built-in ontology and opens an interactive shell. No configuration needed.

What you get

  • Built-in semantic ontology — concept definitions from WordNet 3.1, emotional vocabulary, geographic coordinates, scientific units, humanities and food-systems knowledge, and more. Every atom you write immediately finds neighbours.
  • Concept Models — structured representations of meaningful human activities: Notes, Field Observations, Surveys, Records, Synthesis, World State, Cast, Recipe, Formula, Archives, and more.
  • Lens scanner — scan any set of atoms into a structured view, project onto a 4-quadrant scatter plot, aggregate numerically.
  • LLM-ready — session-scoped access control, batch .ak file loading, JCL async job queue. Connect an LLM as a client alongside humans.
  • Up to 5 simultaneous sessions in the Seeds series.

No mandatory external dependencies

Akasha runs on the Python standard library. Optional features (semantic vector search, NLP trait extraction) install automatically on first launch when TFLite and SpaCy are available. The system runs without them and scales to what the hardware supports.

Documentation

License

MIT (software and editorial content) · WordNet 3.1 (base ontology — Princeton University) · See LICENSE.md for full attribution and third-party notices.

Akasha Seeds is the independent researcher and humanities distribution. Client limit and bundled content differ across the Seeds, Thesaurus, and Server series.

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