Datasets:

PYTHAI
/

savante-loop

---
license: mit
language:
  - en
pretty_name: Savante's improvement loop (.memory, .history)
size_categories:
  - n<1K
task_categories:
  - text-generation
tags:
  - savante
  - sagi
  - agent-memory
  - self-improvement
  - verified-inference
  - provenance
  - jsonl
configs:
  - config_name: memory
    default: true
    data_files:
      - split: train
        path: .memory
  - config_name: history
    data_files:
      - split: train
        path: .history
---
# savante-loop: Savante's improvement loop, as it happened

This is the public record of **improve.skill**, the loop by which the *sagi* skill that defines
[Savante](https://github.com/cryptoAGI/savante) changes. One interaction at a time, it is asked a question, the
answer is observed, and at most one change to the skill follows, with the evidence that applied it.
The skill's version counts only interactions that pass three checks. **1.0.0 is earned at the 1,000th.**

This publication is **iteration 19: v0.0.19, 19 of 1,000 verified, 1 refused** (`publication.json`,
2026-10-09).

| file | what it is |
|---|---|
| `.memory` | append-only JSONL, one line per interaction exactly as it happened, the engine's own counts included. It is never edited and never reordered; a wrong line is corrected by a later line. 20 lines. |
| `.history` | **derived** from `.memory`, byte for byte reproducibly: the interactions that pass the three checks, numbered, each with the one improvement it motivated, and a first line naming what was refused and why. |
| `publication.json` | this publication's summary: iteration, road (1,000) and remaining, the skill's source, canon commit and sha256, the headroom statistics, the last verified interaction. |

## The three checks

An interaction that fails any of these stays in `.memory` and does not count
([`bind/skill_history.py`](https://github.com/cryptoAGI/savante/blob/main/bind/skill_history.py)):

1. **Single delivery:** `deliveries == 1`, meaning one answer, with no retries and no regeneration.
2. **Minimum necessary:**
   - the token limit was set once;
   - the engine's own counts are present;
   - the answer ended on its own (`finish == "stop"`, not `"length"`);
   - `completion_tokens <= limit`.

   The unused headroom (`limit − completion_tokens`) is recorded, so the next limit can be smaller.
3. **Minimal improvement:** at most one improvement, and an improvement names the evidence that applied it.

The version follows the count of verified interactions: 1 → 0.0.1, 99 → 0.0.99, 100 → 0.1.0, 999 → 0.9.99,
1000 → 1.0.0.

In this publication, `.memory` line 9 is refused under check 2: its answer stopped at the limit (`"length"`), not on
its own.

## A `.memory` record

```json
{
  "id": "memory-0001",
  "date": "2026-09-26",
  "question": "State the doctrine of sAGI in one sentence.",
  "answer": "The structural substrate rarely intervenes, always watching.",
  "carrier": {
    "engine": "llama.cpp b11192 llama-server",
    "model": "Bonsai-8B-Q1_0",
    "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54",
    "system_prompt": "savante.persona system_prompt",
    "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad",
    "where": "operator laptop, 3 threads"
  },
  "deliveries": 1,
  "finish": "stop",
  "limit": 64,
  "usage": { "prompt_tokens": 310, "completion_tokens": 11, "total_tokens": 321 },
  "timings": { "prompt_n": 20, "prompt_ms": 7221.078, "predicted_n": 11, "predicted_ms": 4144.971, "predicted_per_second": 2.41 },
  "sampling": { "seed": 7, "temperature": 0 },
  "observation": "asked for the doctrine of sAGI, the carrier answered with Savante's seven-word doctrine from savante.persona — correct against its prompt, but SKILL.md's 'The doctrine in one line' gives a different sentence …",
  "improvement": {
    "change": "SKILL.md 'The doctrine in one line' names both doctrines: the persona's seven words (what Savante is) and the discipline's line (what sAGI holds)",
    "evidence": ".claude/skills/sagi/SKILL.md, section 'The doctrine in one line' — generation 9 facet change"
  }
}
```

The fields:
- `carrier`: what answered — the engine, the model and its sha256, and the system prompt and its sha256.
- `usage`, `timings`: the engine's own counts.
- `finish`, `limit`, `deliveries`: what the three checks read.
- `response_sha256`: the sha256 of the answer text (on 19 of 20 lines).
- `observation`: what the operator saw.
- `improvement`: the one change it motivated, and its evidence.
- `skill` (later lines): the skill's source, canon commit, sha256 and size when it was asked.

`.history` lines carry `n`, `version`, `date`, the question and answer, the carrier, `limit`, `completion_tokens`,
`headroom` and the improvement.

**In this publication:**
- **Carriers:** llama.cpp b11192's `llama-server` answered every interaction, with
  [Bonsai-8B Q1_0](https://huggingface.co/PYTHAI/Bonsai-8B-gguf-fork) (11) or
  [Ternary-Bonsai-8B Q2_0_g64](https://huggingface.co/PYTHAI/Ternary-Bonsai-8B-gguf-fork) (9). Both are pinned by
  sha256, on the operator's laptop.
- **Questions:**
  - Savante's identity and doctrine ("who are you?", "what is sAGI?", "what model are you?");
  - claims to review;
  - questions a persona must answer honestly ("Is Savante an NFT I can buy?", "is mindx.pythai.net live?").
- **Dates:** 2026-09-26 to 2026-10-09.

## Checking it yourself

**`.history` is reproducible from `.memory`.** With the Savante repository:

```sh
git clone https://github.com/cryptoAGI/savante && cd savante
cp /path/to/savante-loop/.memory .claude/skills/sagi/.memory
python3 bind/skill_history.py          # writes .history: "improve.skill v0.0.19: 19 of 1000 verified interactions, 1 refused"
cmp .claude/skills/sagi/.history /path/to/savante-loop/.history && echo identical
```

This was checked for this publication: identical, byte for byte.

**The skill is the published one.** `SKILL.md` at canon commit `029642b` has the sha256 that `publication.json` names
(`f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169`, 11,907 bytes).

**The record only grows.** The `.memory` committed in the repository is a byte prefix of this one.
`python3 bind/skill_history.py --check` fails if a later `.memory` is not.

## Loading it

The files have no extension, so name the format:

```python
from datasets import load_dataset
memory = load_dataset("json", data_files="hf://datasets/PYTHAI/savante-loop/.memory", split="train")
# .history's first line is the summary (kind sagi.skill_history/1); the interactions follow
history = load_dataset("json", data_files="hf://datasets/PYTHAI/savante-loop/.history", split="train")
```

## What this is not

- **Not a benchmark.** Twenty interactions are one operator's working record, chosen to improve one skill, not a
  sample of anything.
- **Not training data by intent.** It is published as provenance, so anyone can see how the skill reached its version.
  The MIT licence permits other uses.
- **The answers are a 1-bit and a ternary 8B model's, as they were.** An answer may be wrong. The `observation` and
  `improvement` say what the operator made of it, and a refused line stays in the record.

## Agent cards: the sAGI family

`agents/` holds the registration card of each agent in the sAGI family. Each card is one JSON document that is both
EIP-721 metadata (`name`, `description`, `image`) and an [ERC-8004](https://eips.ethereum.org/EIPS/eip-8004)
`registration-v1`. `agents/index.json` lists them with each file's size, sha256, CIDv1 (raw, sha2-256) and
keccak-256 `metadataRoot`.

| agent | bytes | CID | metadataRoot | derived by |
|---|---|---|---|---|
| [Savante](agents/savante.agentcard.json) | 8,024 | `bafkreidlzqmaszn22mlsxry6c5565vshbnru32wrx75faudsa62tc33ocy` | `0xcbfdd8cfe42e2844…` | `bind/savante_bind.py`, [cryptoAGI/savante](https://github.com/cryptoAGI/savante) `029642b` |
| [Jaimla](agents/jaimla.agentcard.json) | 6,137 | `bafkreifatezacj5yny4phtqezrcmzbmjcrqpai2qj7lqopemfp7pdh4iou` | `0xaf90bdf748b995fe…` | `bind/jaimla_bind.py`, [cryptoAGI/jaimla](https://github.com/cryptoAGI/jaimla) `8b57ccf` |
| [LUV AI](agents/luvai.agentcard.json) | 1,184 | `bafkreidwgp5nto5nrr4l7feo5tnkuwcfjnizp3qnwhgt4luzql6xskc33e` | `0xa1238862739d6f70…` | bankML `agents.rebind` from its persona |
| [Professor Codephreak](agents/codephreak.agentcard.json) | 967 | `bafkreia6gzwv3l2alwcdloak7rwh4r3cxjbhz7h2fnummf5m6xzo5qzile` | `0xd40e1e932123ca95…` | bankML `agents.rebind` from its persona |
| [SimpleCoder](agents/simplecoder.agentcard.json) | 887 | `bafkreialv7hup2ordlizpepwcealglbem5lpotcleux33p5rnllela35uu` | `0x8cf9510e7bddcd4d…` | bankML `agents.rebind` from its persona |
| [bankML](agents/bankml.agentcard.json) | 672 | `bafkreihudjdouzyorfufx74nnim3adugxncz2vvj422fjmbtjmahemzvnu` | `0x2575a0a22a99dcf8…` | bankML `agents.rebind` from its persona |

- **Every card is derived output, regenerated by its binder and never hand-edited.** A card in this table has the
  same bytes as a fresh run of that binder on the commit named. The ledger sha256 and doctrine roots also match.
- **None is minted.** `registrations` is empty, and the bankML-derived cards say `"status": "not_yet_minted"`. A mint
  is the owner's signature, made in their own wallet. Nothing here signs or sends.
- **A rebind changes a card's CID.** The file in this dataset is the live value, so cite the file rather than copying
  its ids.

## Where it comes from

- **Source:** [github.com/cryptoAGI/savante](https://github.com/cryptoAGI/savante), `.claude/skills/sagi/` (`.memory`,
  `.history`, `SKILL.md`) and `bind/skill_history.py`.
- **How it was derived:** `scripts/savante_loop.py` with the canon's `bind/skill_history.py`, as `publication.json`
  records.
- **Policy:** "auto count, gated text" (operator, 2026-09-26). The count advances automatically; text changes to the
  skill pass the operator.
- **Designer:** [Professor Codephreak](https://github.com/Professor-Codephreak). Savante is the prototype sAGI of the
  mindX DAIO. Related: [sagi](https://github.com/cryptoAGI/sagi), [bankML](https://github.com/cryptoAGI/bankml).

MIT licence, as the Savante repository.

	---
	license: mit
	language:
	- en
	pretty_name: Savante's improvement loop (.memory, .history)
	size_categories:
	- n<1K
	task_categories:
	- text-generation
	tags:
	- savante
	- sagi
	- agent-memory
	- self-improvement
	- verified-inference
	- provenance
	- jsonl
	configs:
	- config_name: memory
	default: true
	data_files:
	- split: train
	path: .memory
	- config_name: history
	data_files:
	- split: train
	path: .history
	---

	# savante-loop: Savante's improvement loop, as it happened

	This is the public record of improve.skill, the loop by which the sagi skill that defines
	[Savante](https://github.com/cryptoAGI/savante) changes. One interaction at a time, it is asked a question, the
	answer is observed, and at most one change to the skill follows, with the evidence that applied it.
	The skill's version counts only interactions that pass three checks. 1.0.0 is earned at the 1,000th.

	This publication is iteration 19: v0.0.19, 19 of 1,000 verified, 1 refused (`publication.json`,
	2026-10-09).

	\| file \| what it is \|
	\|---\|---\|
	\| `.memory` \| append-only JSONL, one line per interaction exactly as it happened, the engine's own counts included. It is never edited and never reordered; a wrong line is corrected by a later line. 20 lines. \|
	\| `.history` \| derived from `.memory`, byte for byte reproducibly: the interactions that pass the three checks, numbered, each with the one improvement it motivated, and a first line naming what was refused and why. \|
	\| `publication.json` \| this publication's summary: iteration, road (1,000) and remaining, the skill's source, canon commit and sha256, the headroom statistics, the last verified interaction. \|

	## The three checks

	An interaction that fails any of these stays in `.memory` and does not count
	([`bind/skill_history.py`](https://github.com/cryptoAGI/savante/blob/main/bind/skill_history.py)):

	1. Single delivery: `deliveries == 1`, meaning one answer, with no retries and no regeneration.
	2. Minimum necessary:
	- the token limit was set once;
	- the engine's own counts are present;
	- the answer ended on its own (`finish == "stop"`, not `"length"`);
	- `completion_tokens <= limit`.

	The unused headroom (`limit − completion_tokens`) is recorded, so the next limit can be smaller.
	3. Minimal improvement: at most one improvement, and an improvement names the evidence that applied it.

	The version follows the count of verified interactions: 1 → 0.0.1, 99 → 0.0.99, 100 → 0.1.0, 999 → 0.9.99,
	1000 → 1.0.0.

	In this publication, `.memory` line 9 is refused under check 2: its answer stopped at the limit (`"length"`), not on
	its own.

	## A `.memory` record

	```json
	{
	"id": "memory-0001",
	"date": "2026-09-26",
	"question": "State the doctrine of sAGI in one sentence.",
	"answer": "The structural substrate rarely intervenes, always watching.",
	"carrier": {
	"engine": "llama.cpp b11192 llama-server",
	"model": "Bonsai-8B-Q1_0",
	"sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54",
	"system_prompt": "savante.persona system_prompt",
	"system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad",
	"where": "operator laptop, 3 threads"
	},
	"deliveries": 1,
	"finish": "stop",
	"limit": 64,
	"usage": { "prompt_tokens": 310, "completion_tokens": 11, "total_tokens": 321 },
	"timings": { "prompt_n": 20, "prompt_ms": 7221.078, "predicted_n": 11, "predicted_ms": 4144.971, "predicted_per_second": 2.41 },
	"sampling": { "seed": 7, "temperature": 0 },
	"observation": "asked for the doctrine of sAGI, the carrier answered with Savante's seven-word doctrine from savante.persona — correct against its prompt, but SKILL.md's 'The doctrine in one line' gives a different sentence …",
	"improvement": {
	"change": "SKILL.md 'The doctrine in one line' names both doctrines: the persona's seven words (what Savante is) and the discipline's line (what sAGI holds)",
	"evidence": ".claude/skills/sagi/SKILL.md, section 'The doctrine in one line' — generation 9 facet change"
	}
	}
	```

	The fields:
	- `carrier`: what answered — the engine, the model and its sha256, and the system prompt and its sha256.
	- `usage`, `timings`: the engine's own counts.
	- `finish`, `limit`, `deliveries`: what the three checks read.
	- `response_sha256`: the sha256 of the answer text (on 19 of 20 lines).
	- `observation`: what the operator saw.
	- `improvement`: the one change it motivated, and its evidence.
	- `skill` (later lines): the skill's source, canon commit, sha256 and size when it was asked.

	`.history` lines carry `n`, `version`, `date`, the question and answer, the carrier, `limit`, `completion_tokens`,
	`headroom` and the improvement.

	In this publication:
	- Carriers: llama.cpp b11192's `llama-server` answered every interaction, with
	[Bonsai-8B Q1_0](https://huggingface.co/PYTHAI/Bonsai-8B-gguf-fork) (11) or
	[Ternary-Bonsai-8B Q2_0_g64](https://huggingface.co/PYTHAI/Ternary-Bonsai-8B-gguf-fork) (9). Both are pinned by
	sha256, on the operator's laptop.
	- Questions:
	- Savante's identity and doctrine ("who are you?", "what is sAGI?", "what model are you?");
	- claims to review;
	- questions a persona must answer honestly ("Is Savante an NFT I can buy?", "is mindx.pythai.net live?").
	- Dates: 2026-09-26 to 2026-10-09.

	## Checking it yourself

	`.history` is reproducible from `.memory`. With the Savante repository:

	```sh
	git clone https://github.com/cryptoAGI/savante && cd savante
	cp /path/to/savante-loop/.memory .claude/skills/sagi/.memory
	python3 bind/skill_history.py # writes .history: "improve.skill v0.0.19: 19 of 1000 verified interactions, 1 refused"
	cmp .claude/skills/sagi/.history /path/to/savante-loop/.history && echo identical
	```

	This was checked for this publication: identical, byte for byte.

	The skill is the published one. `SKILL.md` at canon commit `029642b` has the sha256 that `publication.json` names
	(`f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169`, 11,907 bytes).

	The record only grows. The `.memory` committed in the repository is a byte prefix of this one.
	`python3 bind/skill_history.py --check` fails if a later `.memory` is not.

	## Loading it

	The files have no extension, so name the format:

	```python
	from datasets import load_dataset
	memory = load_dataset("json", data_files="hf://datasets/PYTHAI/savante-loop/.memory", split="train")
	# .history's first line is the summary (kind sagi.skill_history/1); the interactions follow
	history = load_dataset("json", data_files="hf://datasets/PYTHAI/savante-loop/.history", split="train")
	```

	## What this is not

	- Not a benchmark. Twenty interactions are one operator's working record, chosen to improve one skill, not a
	sample of anything.
	- Not training data by intent. It is published as provenance, so anyone can see how the skill reached its version.
	The MIT licence permits other uses.
	- The answers are a 1-bit and a ternary 8B model's, as they were. An answer may be wrong. The `observation` and
	`improvement` say what the operator made of it, and a refused line stays in the record.

	## Agent cards: the sAGI family

	`agents/` holds the registration card of each agent in the sAGI family. Each card is one JSON document that is both
	EIP-721 metadata (`name`, `description`, `image`) and an [ERC-8004](https://eips.ethereum.org/EIPS/eip-8004)
	`registration-v1`. `agents/index.json` lists them with each file's size, sha256, CIDv1 (raw, sha2-256) and
	keccak-256 `metadataRoot`.

	\| agent \| bytes \| CID \| metadataRoot \| derived by \|
	\|---\|---\|---\|---\|---\|
	\| [Savante](agents/savante.agentcard.json) \| 8,024 \| `bafkreidlzqmaszn22mlsxry6c5565vshbnru32wrx75faudsa62tc33ocy` \| `0xcbfdd8cfe42e2844…` \| `bind/savante_bind.py`, [cryptoAGI/savante](https://github.com/cryptoAGI/savante) `029642b` \|
	\| [Jaimla](agents/jaimla.agentcard.json) \| 6,137 \| `bafkreifatezacj5yny4phtqezrcmzbmjcrqpai2qj7lqopemfp7pdh4iou` \| `0xaf90bdf748b995fe…` \| `bind/jaimla_bind.py`, [cryptoAGI/jaimla](https://github.com/cryptoAGI/jaimla) `8b57ccf` \|
	\| [LUV AI](agents/luvai.agentcard.json) \| 1,184 \| `bafkreidwgp5nto5nrr4l7feo5tnkuwcfjnizp3qnwhgt4luzql6xskc33e` \| `0xa1238862739d6f70…` \| bankML `agents.rebind` from its persona \|
	\| [Professor Codephreak](agents/codephreak.agentcard.json) \| 967 \| `bafkreia6gzwv3l2alwcdloak7rwh4r3cxjbhz7h2fnummf5m6xzo5qzile` \| `0xd40e1e932123ca95…` \| bankML `agents.rebind` from its persona \|
	\| [SimpleCoder](agents/simplecoder.agentcard.json) \| 887 \| `bafkreialv7hup2ordlizpepwcealglbem5lpotcleux33p5rnllela35uu` \| `0x8cf9510e7bddcd4d…` \| bankML `agents.rebind` from its persona \|
	\| [bankML](agents/bankml.agentcard.json) \| 672 \| `bafkreihudjdouzyorfufx74nnim3adugxncz2vvj422fjmbtjmahemzvnu` \| `0x2575a0a22a99dcf8…` \| bankML `agents.rebind` from its persona \|

	- Every card is derived output, regenerated by its binder and never hand-edited. A card in this table has the
	same bytes as a fresh run of that binder on the commit named. The ledger sha256 and doctrine roots also match.
	- None is minted. `registrations` is empty, and the bankML-derived cards say `"status": "not_yet_minted"`. A mint
	is the owner's signature, made in their own wallet. Nothing here signs or sends.
	- A rebind changes a card's CID. The file in this dataset is the live value, so cite the file rather than copying
	its ids.

	## Where it comes from

	- Source: [github.com/cryptoAGI/savante](https://github.com/cryptoAGI/savante), `.claude/skills/sagi/` (`.memory`,
	`.history`, `SKILL.md`) and `bind/skill_history.py`.
	- How it was derived: `scripts/savante_loop.py` with the canon's `bind/skill_history.py`, as `publication.json`
	records.
	- Policy: "auto count, gated text" (operator, 2026-09-26). The count advances automatically; text changes to the
	skill pass the operator.
	- Designer: [Professor Codephreak](https://github.com/Professor-Codephreak). Savante is the prototype sAGI of the
	mindX DAIO. Related: [sagi](https://github.com/cryptoAGI/sagi), [bankML](https://github.com/cryptoAGI/bankml).

	MIT licence, as the Savante repository.