--- 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.