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| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
library_name: holo-program
|
| 6 |
+
tags:
|
| 7 |
+
- memory
|
| 8 |
+
- programmable-memory
|
| 9 |
+
- membrane-computing
|
| 10 |
+
- p-systems
|
| 11 |
+
- cryptographic-memory
|
| 12 |
+
- keyed-access
|
| 13 |
+
- associative-memory
|
| 14 |
+
- hyperdimensional-computing
|
| 15 |
+
- vector-symbolic-architecture
|
| 16 |
+
- numpy
|
| 17 |
+
- educational
|
| 18 |
+
- research
|
| 19 |
+
datasets: []
|
| 20 |
+
metrics:
|
| 21 |
+
- chain-execution-accuracy
|
| 22 |
+
- membrane-inheritance
|
| 23 |
+
- key-separation
|
| 24 |
+
pipeline_tag: feature-extraction
|
| 25 |
+
---
|
| 26 |
+
|
| 27 |
+
# holo-program
|
| 28 |
+
|
| 29 |
+
**Programs as items, membranes as regions, keys as gates.**
|
| 30 |
+
|
| 31 |
+
A memory substrate with three stacked layers under one interface.
|
| 32 |
+
Programs are stored as key-value items and executed by
|
| 33 |
+
unbind-then-classify. Membranes are nested regions with child-to-parent
|
| 34 |
+
inheritance and P-systems operations. Cryptographic keying derives item
|
| 35 |
+
vectors from a secret; without the key, the trace is noise. Everything
|
| 36 |
+
is addressable through a single `ask()` primitive.
|
| 37 |
+
|
| 38 |
+
The three layers are views of one vector space. The caller does not
|
| 39 |
+
specify which layer to search. `ask()` returns heterogeneous hits.
|
| 40 |
+
|
| 41 |
+
## What it does
|
| 42 |
+
|
| 43 |
+
```python
|
| 44 |
+
from holo_program import HoloProgram
|
| 45 |
+
|
| 46 |
+
prog = HoloProgram(d=2048, key=None)
|
| 47 |
+
|
| 48 |
+
# Programs as items
|
| 49 |
+
prog.add_op("root", "inc", "0", "1")
|
| 50 |
+
prog.add_op("root", "inc", "1", "2")
|
| 51 |
+
prog.add_op("root", "double", "2", "4")
|
| 52 |
+
|
| 53 |
+
# Execute a chain
|
| 54 |
+
result = prog.run_chain("root", ["inc", "inc", "double"], "0")
|
| 55 |
+
# result = {"path": ["0", "1", "2", "4"], "ok": True}
|
| 56 |
+
|
| 57 |
+
# Membranes with inheritance
|
| 58 |
+
prog.add_membrane("alice", parent="root")
|
| 59 |
+
prog.store("alice", "alice_lives_in_paris")
|
| 60 |
+
prog.query("alice", "alice_lives_in_paris") # ~1.0
|
| 61 |
+
prog.query("root", "alice_lives_in_paris") # ~0.0
|
| 62 |
+
|
| 63 |
+
# Keyed access
|
| 64 |
+
p_secret = HoloProgram(key="secret")
|
| 65 |
+
p_secret.store("root", "classified")
|
| 66 |
+
p_wrong = HoloProgram(key="wrong")
|
| 67 |
+
p_wrong.membranes["root"].trace = p_secret.membranes["root"].trace.copy()
|
| 68 |
+
p_secret.query("root", "classified") # ~1.0
|
| 69 |
+
p_wrong.query("root", "classified") # ~0.0
|
| 70 |
+
|
| 71 |
+
# Non-flat query
|
| 72 |
+
hits = prog.ask("inc")
|
| 73 |
+
# [operation] membrane=root role=op inc(0) -> 1
|
| 74 |
+
# [operation] membrane=root role=op inc(1) -> 2
|
| 75 |
+
```
|
| 76 |
+
|
| 77 |
+
## Why three layers
|
| 78 |
+
|
| 79 |
+
Standard memory tools are flat. A vector database accepts an
|
| 80 |
+
embedding; a KV cache accepts a key; a graph database accepts a
|
| 81 |
+
pattern. Each tool has one interface and one data layer. The user
|
| 82 |
+
adapts the problem to the tool.
|
| 83 |
+
|
| 84 |
+
The substrate here stacks three layers over the same vector space.
|
| 85 |
+
Each layer has been built before. The composition is what is new.
|
| 86 |
+
A user stores a fact, defines an operation, puts it in a membrane,
|
| 87 |
+
and locks it behind a key β all through the same primitives, all
|
| 88 |
+
retrievable through the same `ask()` call.
|
| 89 |
+
|
| 90 |
+
## Installation
|
| 91 |
+
|
| 92 |
+
```bash
|
| 93 |
+
pip install numpy
|
| 94 |
+
```
|
| 95 |
+
|
| 96 |
+
No other dependencies. Single file, approximately 600 lines.
|
| 97 |
+
|
| 98 |
+
## Usage
|
| 99 |
+
|
| 100 |
+
### CLI
|
| 101 |
+
|
| 102 |
+
```bash
|
| 103 |
+
python holo_program.py
|
| 104 |
+
python holo_program.py --output results/
|
| 105 |
+
```
|
| 106 |
+
|
| 107 |
+
Runs eight demonstrations and writes a JSON state file.
|
| 108 |
+
|
| 109 |
+
### Python
|
| 110 |
+
|
| 111 |
+
```python
|
| 112 |
+
from holo_program import HoloProgram
|
| 113 |
+
|
| 114 |
+
prog = HoloProgram(d=2048, key=None, threshold=0.05)
|
| 115 |
+
|
| 116 |
+
# Membranes
|
| 117 |
+
prog.add_membrane("alice", parent="root")
|
| 118 |
+
prog.add_membrane("alice_kitchen", parent="alice")
|
| 119 |
+
|
| 120 |
+
# Storage
|
| 121 |
+
prog.store("root", "earth_round")
|
| 122 |
+
prog.store("alice", "alice_lives_in_paris")
|
| 123 |
+
prog.store("alice_kitchen", "manager_is_bob")
|
| 124 |
+
|
| 125 |
+
# Operations
|
| 126 |
+
prog.add_op("root", "serve", "customer", "coffee")
|
| 127 |
+
prog.add_op("alice_kitchen", "brew", "coffee", "ready")
|
| 128 |
+
|
| 129 |
+
# Execute
|
| 130 |
+
result = prog.run_chain("root", ["inc", "inc"], "5")
|
| 131 |
+
result = prog.apply("alice_kitchen", "brew", "coffee") # "ready"
|
| 132 |
+
|
| 133 |
+
# Data-driven walk
|
| 134 |
+
walk = prog.run_data_driven("root", "cold") # ["cold", "warm", ...]
|
| 135 |
+
|
| 136 |
+
# P-systems operations
|
| 137 |
+
prog.move("private_note", "alice", "root")
|
| 138 |
+
prog.dissolve("alice_kitchen", "alice")
|
| 139 |
+
|
| 140 |
+
# Non-flat query
|
| 141 |
+
hits = prog.ask("coffee", top_k=8)
|
| 142 |
+
|
| 143 |
+
# Cryptographic layer
|
| 144 |
+
commitment = prog.commit("root", "secret_value", salt="random_salt_123")
|
| 145 |
+
ok = prog.verify("root", "secret_value", "random_salt_123", commitment)
|
| 146 |
+
```
|
| 147 |
+
|
| 148 |
+
## Results
|
| 149 |
+
|
| 150 |
+
All results at D=2048, threshold=0.05. Self-test verifies four
|
| 151 |
+
primitives before any demonstration: bind/unbind identity, key
|
| 152 |
+
separation, projection recovery, and random-key key-value retrieval
|
| 153 |
+
(49/50 at 50 superposed pairs).
|
| 154 |
+
|
| 155 |
+
### Program execution
|
| 156 |
+
|
| 157 |
+
Twenty `inc` operations (i β i+1 for i = 0..19), twenty `double`
|
| 158 |
+
operations (i β 2i), ten `square` operations (i β iΒ²) stored as
|
| 159 |
+
key-value pairs.
|
| 160 |
+
|
| 161 |
+
| Chain | Start | Path | Result |
|
| 162 |
+
|---|---|---|---|
|
| 163 |
+
| inc, inc, double | 3 | 3 β 4 β 5 β 10 | correct |
|
| 164 |
+
| square, inc | 4 | 4 β 16 β 17 | correct |
|
| 165 |
+
| double, inc, inc | 5 | 5 β 10 β 11 β 12 | correct |
|
| 166 |
+
| inc, square | 2 | 2 β 3 β 9 | correct |
|
| 167 |
+
|
| 168 |
+
Single applies: `inc(7) = 8`, `double(7) = 14`, `square(7) = 49`.
|
| 169 |
+
|
| 170 |
+
The chains compose across different operations. The substrate does not
|
| 171 |
+
know which operations exist; it reads the key, retrieves the value,
|
| 172 |
+
classifies the out, and passes the result forward.
|
| 173 |
+
|
| 174 |
+
### Data-driven execution
|
| 175 |
+
|
| 176 |
+
State transitions: `cold β warm β hot β boiling β evaporated`.
|
| 177 |
+
|
| 178 |
+
Starting at `cold` with no predefined chain, the substrate walks by
|
| 179 |
+
finding whichever operation matches the current value at each step:
|
| 180 |
+
|
| 181 |
+
```
|
| 182 |
+
cold -> warm -> hot -> boiling -> evaporated
|
| 183 |
+
steps: 4
|
| 184 |
+
```
|
| 185 |
+
|
| 186 |
+
Starting at `evaporated` (no matching operation), the walk terminates
|
| 187 |
+
immediately.
|
| 188 |
+
|
| 189 |
+
### Membrane inheritance
|
| 190 |
+
|
| 191 |
+
Three nested membranes: `root`, `alice`, `alice_kitchen`.
|
| 192 |
+
|
| 193 |
+
| Query | root | alice | alice_kitchen |
|
| 194 |
+
|---|---|---|---|
|
| 195 |
+
| earth_round | +1.028 | +1.028 | +1.028 |
|
| 196 |
+
| alice_lives_in_paris | +0.023 | +1.004 | +1.004 |
|
| 197 |
+
| kitchen_floor_5 | -0.026 | -0.026 | +1.020 |
|
| 198 |
+
| manager_is_bob | -0.004 | -0.004 | +1.020 |
|
| 199 |
+
|
| 200 |
+
The child sees the parent's facts. The parent does not see the child's.
|
| 201 |
+
Inheritance is one-way, from child to parent.
|
| 202 |
+
|
| 203 |
+
### Movement and dissolution
|
| 204 |
+
|
| 205 |
+
**Move.** `private_note` stored in `inner`:
|
| 206 |
+
|
| 207 |
+
| | root | inner |
|
| 208 |
+
|---|---|---|
|
| 209 |
+
| before | +0.027 | +1.000 |
|
| 210 |
+
| after | +1.027 | +1.027 |
|
| 211 |
+
|
| 212 |
+
The content transferred completely.
|
| 213 |
+
|
| 214 |
+
**Dissolution.** `middle_fact` in `middle`, then dissolve `middle` into
|
| 215 |
+
`root`:
|
| 216 |
+
|
| 217 |
+
| | root | middle |
|
| 218 |
+
|---|---|---|
|
| 219 |
+
| before | +0.009 | +1.000 |
|
| 220 |
+
| after | +1.009 | (gone) |
|
| 221 |
+
|
| 222 |
+
Content transferred, membrane removed.
|
| 223 |
+
|
| 224 |
+
### Cryptographic keying
|
| 225 |
+
|
| 226 |
+
Two programs share the same trace. One has the correct key; the other
|
| 227 |
+
has a wrong key.
|
| 228 |
+
|
| 229 |
+
| Candidate | Correct key | Wrong key |
|
| 230 |
+
|---|---|---|
|
| 231 |
+
| classified_meeting_place | +0.997 | +0.004 |
|
| 232 |
+
| classified_meeting_time | +0.997 | -0.007 |
|
| 233 |
+
| paris | -0.018 | -0.022 |
|
| 234 |
+
| 3pm | -0.028 | +0.034 |
|
| 235 |
+
| unrelated_word | -0.028 | +0.010 |
|
| 236 |
+
|
| 237 |
+
With the correct key, stored items read at +0.997 and non-stored at
|
| 238 |
+
near zero. With the wrong key, all items read near zero. The trace
|
| 239 |
+
carries no usable signal without the key.
|
| 240 |
+
|
| 241 |
+
### Commitment scheme
|
| 242 |
+
|
| 243 |
+
Commitment = `bind(vector(label), vector(salt))`. Verification:
|
| 244 |
+
|
| 245 |
+
| Correct (label, salt) | Wrong salt | Wrong label |
|
| 246 |
+
|---|---|---|
|
| 247 |
+
| True | False | False |
|
| 248 |
+
|
| 249 |
+
Commitment vector magnitude is exactly 1.0000 (phase-only binding
|
| 250 |
+
preserves unit modulus).
|
| 251 |
+
|
| 252 |
+
### Unified `ask()`
|
| 253 |
+
|
| 254 |
+
Five example queries, each returning heterogeneous hits:
|
| 255 |
+
|
| 256 |
+
| Query | Result |
|
| 257 |
+
|---|---|
|
| 258 |
+
| `alice` | `[membrane] alice` |
|
| 259 |
+
| `alice_lives_in_paris` | `[item] alice sim=+1.004` |
|
| 260 |
+
| `coffee` | `[operation] serve(customer) β coffee` in root; `[operation] brew(coffee) β ready` in alice_kitchen |
|
| 261 |
+
| `alice_kitchen` | `[membrane] alice_kitchen` |
|
| 262 |
+
| `manager_is_bob` | `[item] alice_kitchen sim=+1.020` |
|
| 263 |
+
|
| 264 |
+
The caller does not specify which layer to search. The substrate
|
| 265 |
+
reports what it has.
|
| 266 |
+
|
| 267 |
+
### Programs as items
|
| 268 |
+
|
| 269 |
+
Querying `ask("inc")` returns the two stored `inc` operations.
|
| 270 |
+
|
| 271 |
+
Querying `ask("3")` returns both the operation where `3` is an
|
| 272 |
+
output (`inc(2) β 3`) and the operation where `3` is an input
|
| 273 |
+
(`double(3) β 6`). The `role` field distinguishes them.
|
| 274 |
+
|
| 275 |
+
The same primitive reads items and operations. There is no separate
|
| 276 |
+
"program layer" from the caller's perspective.
|
| 277 |
+
|
| 278 |
+
## API reference
|
| 279 |
+
|
| 280 |
+
### `HoloProgram`
|
| 281 |
+
|
| 282 |
+
```python
|
| 283 |
+
HoloProgram(d=2048, key=None, threshold=0.05)
|
| 284 |
+
```
|
| 285 |
+
|
| 286 |
+
**Membrane management**
|
| 287 |
+
|
| 288 |
+
- `add_membrane(name, parent="root")` β create a nested membrane.
|
| 289 |
+
|
| 290 |
+
**Storage**
|
| 291 |
+
|
| 292 |
+
- `store(membrane, label, weight=1.0)` β store an item.
|
| 293 |
+
- `add_op(membrane, op_name, in_val, out_val)` β store an operation.
|
| 294 |
+
- `move(label, src, dst)` β transfer an item between membranes.
|
| 295 |
+
- `dissolve(child, into)` β merge a child membrane into its parent.
|
| 296 |
+
|
| 297 |
+
**Execution**
|
| 298 |
+
|
| 299 |
+
- `apply(membrane, op_name, in_val) -> out_val | None` β single step.
|
| 300 |
+
- `run_chain(membrane, ops, start) -> dict` β fixed sequence.
|
| 301 |
+
- `run_data_driven(membrane, start, max_steps=20) -> dict` β follow
|
| 302 |
+
whichever operation matches at each step.
|
| 303 |
+
|
| 304 |
+
**Query**
|
| 305 |
+
|
| 306 |
+
- `query(membrane, label) -> float` β similarity in the membrane's
|
| 307 |
+
inheritance chain.
|
| 308 |
+
- `ask(query, top_k=8) -> list[dict]` β heterogeneous search across
|
| 309 |
+
all membranes and all layers.
|
| 310 |
+
|
| 311 |
+
**Cryptographic**
|
| 312 |
+
|
| 313 |
+
- `commit(membrane, label, salt) -> np.ndarray` β generate commitment.
|
| 314 |
+
- `verify(membrane, label, salt, commitment) -> bool` β verify.
|
| 315 |
+
|
| 316 |
+
**Diagnostics**
|
| 317 |
+
|
| 318 |
+
- `stats() -> dict` β per-membrane counts and magnitudes.
|
| 319 |
+
- `save_json(path)` β full state.
|
| 320 |
+
|
| 321 |
+
## Design notes
|
| 322 |
+
|
| 323 |
+
### Random keys, not structured keys
|
| 324 |
+
|
| 325 |
+
Operations use fully random keys derived from a hash of `(op_name,
|
| 326 |
+
in_val)`, not from a structured binding of role vectors. An earlier
|
| 327 |
+
version used `norm(bind(op, op_name) + bind(in, in_val))`, which
|
| 328 |
+
produced correlated keys for operations sharing a component. With
|
| 329 |
+
twenty `inc` operations, the shared `inc` component made the keys
|
| 330 |
+
correlated and cross-talk swamped the signal; only single applies
|
| 331 |
+
worked.
|
| 332 |
+
|
| 333 |
+
The random-key variant removes the cross-talk at the cost of treating
|
| 334 |
+
every `(op, in)` pair as structurally distinct. The `op` role is
|
| 335 |
+
still used for the value (`bind(out, out_val)`), but not for the key.
|
| 336 |
+
|
| 337 |
+
### Parent direction
|
| 338 |
+
|
| 339 |
+
Inheritance goes from child to parent. A child sees its parent's
|
| 340 |
+
facts; a parent does not see its child's facts. This is the natural
|
| 341 |
+
direction for a "context" relation: a specific context inherits from
|
| 342 |
+
a general one, not the other way around.
|
| 343 |
+
|
| 344 |
+
### Keyed codebook
|
| 345 |
+
|
| 346 |
+
Item vectors are derived from `random_vector(key, label)`. Different
|
| 347 |
+
keys produce uncorrelated vectors for the same label. A trace built
|
| 348 |
+
with key A, queried with key B, produces similarity near zero because
|
| 349 |
+
the two codebooks are independent.
|
| 350 |
+
|
| 351 |
+
This is access control at the codebook level. Without the key, the
|
| 352 |
+
trace is a random superposition of unknown vectors.
|
| 353 |
+
|
| 354 |
+
## Limitations
|
| 355 |
+
|
| 356 |
+
**Programs are not Turing-complete.** Chains and data-driven walks
|
| 357 |
+
compose operations. Branching, iteration, and recursion must be
|
| 358 |
+
encoded as larger operation sets or implemented outside the substrate.
|
| 359 |
+
|
| 360 |
+
**No catalysis.** An operation cannot require a third object to be
|
| 361 |
+
present. The structure supports it (a catalyst could be a role in the
|
| 362 |
+
operation and a check against the local trace) but it is not
|
| 363 |
+
implemented.
|
| 364 |
+
|
| 365 |
+
**No priority.** Multiple applicable operations are returned by
|
| 366 |
+
`find_applicable` sorted by similarity. There is no specificity-based
|
| 367 |
+
ordering or explicit precedence.
|
| 368 |
+
|
| 369 |
+
**No timed rules.** Operations have no validity windows.
|
| 370 |
+
|
| 371 |
+
**No provenance.** The substrate does not track which call produced
|
| 372 |
+
which weight. Two sources that store the same fact look identical.
|
| 373 |
+
|
| 374 |
+
**Keys are not secret against an adversary with the codebook.** The
|
| 375 |
+
key separation prevents a wrong-key query from retrieving items. It
|
| 376 |
+
does not prevent brute-force matching against the trace if the label
|
| 377 |
+
space is small.
|
| 378 |
+
|
| 379 |
+
**Commitments are not cryptographic.** `bind(vector(label),
|
| 380 |
+
vector(salt))` is a hash-like operation in the substrate's algebra.
|
| 381 |
+
It is not a cryptographically secure commitment in the formal sense.
|
| 382 |
+
It is useful for cooperative verification, not for adversarial
|
| 383 |
+
security.
|
| 384 |
+
|
| 385 |
+
**No cross-membrane queries.** A query goes to one membrane.
|
| 386 |
+
`ask()` searches all membranes for the query string, but it does not
|
| 387 |
+
propagate the query through the inheritance chain.
|
| 388 |
+
|
| 389 |
+
**No consolidation.** Traces grow linearly. Long-running stores need
|
| 390 |
+
external management. The four-axis tool provides consolidation; it is
|
| 391 |
+
not integrated here.
|
| 392 |
+
|
| 393 |
+
## Citation
|
| 394 |
+
|
| 395 |
+
```bibtex
|
| 396 |
+
@misc{holo-program2026,
|
| 397 |
+
title = {holo-program: Programs as items, membranes as regions,
|
| 398 |
+
keys as gates},
|
| 399 |
+
author = {zeechimp},
|
| 400 |
+
year = {2026},
|
| 401 |
+
note = {A memory substrate with three stacked layers under a
|
| 402 |
+
single non-flat interface.}
|
| 403 |
+
}
|
| 404 |
+
```
|
| 405 |
+
|
| 406 |
+
## References
|
| 407 |
+
|
| 408 |
+
- Plate, T. A. "Holographic Reduced Representations." *IEEE Transactions on Neural Networks* 6:3 (1995), 623β641.
|
| 409 |
+
- Kanerva, P. "Hyperdimensional Computing." *Cognitive Computation* 1:2 (2009), 139β159.
|
| 410 |
+
- PΔun, Gh. "Computing with Membranes." *Journal of Computer and System Sciences* 61:1 (2000), 108β143.
|
| 411 |
+
- Gayler, R. W. "Vector Symbolic Architectures Answer Jackendoff's Challenges." *ICCS/ASCS* (2003).
|
| 412 |
+
|
| 413 |
+
## License
|
| 414 |
+
|
| 415 |
+
Apache 2.0
|