Stateark

io.github.Askrion由 GitHub 账号 Askrion 发布v0.5.3更新于 Oct 24, 2026

Local-first version control for AI work. Savepoint and resume your project state across chats.

概览

AI 生成的概览

面向 AI 工作的本地优先版本控制:把项目状态保存为版本化存档,并可在任意新会话中恢复。

可以做什么
StateArk 把一次工作会话整理成可版本化、可迁移的项目状态,以 Markdown、JSON 和真实文件的普通文件夹形式存放在本地存储中。会话内命令包括 Savepoint(把本次会话合并为新版本)、Resume(把最新状态载入新会话)、History(列出版本)和 Diff(查看两次存档之间的变化)。配套工具还有 get_artifact、note_event、journal、diff_savepoints 和 sync_savepoint。完整性检查会把每个存档与前一版本对比,对沿用、缩小、待传或缺失的产物给出警告,但从不阻止存档写入。
适用场景
适用于长时间的 AI 编码或设计会话在切换会话后丢失上下文,而你希望决策、约束、被否决的方案和实际文件都能延续的场景。适合 Claude Desktop、Claude Code 等本地 MCP 客户端在单台机器上使用。由厂商云端发起连接的托管客户端无法访问 localhost,因此目前不适合这类客户端。
运行要求
需要 Node 20+ 以及本地 MCP 宿主(如 Claude Desktop 或 Claude Code);npm 包 stateark 通过 stdio 运行。仅本地模式不需要 .env。可选的 Supabase 镜像需要 SUPABASE_URL、SUPABASE_SECRET_KEY、STATEARK_OWNER_ID 和 STATEARK_STORAGE_BUCKET,并按顺序执行提供的 SQL 迁移。默认存储为 ~/StateArk;本地 HTTP 代理仅绑定 127.0.0.1,并在存储中生成访问密钥。
安装前请注意
存档写入本地存储,任何能访问文件系统的人都能读取;代理会在存储根目录生成访问密钥。可选的 Supabase 同步并非端到端加密,Supabase 项目可以读取镜像内容;除非项目内容适合放入托管数据库,否则应保持关闭。两台机器通过同步客户端同时写入同一存储可能产生冲突。若要通过 HTTPS 暴露代理,需要设置足够长的 STATEARK_ACCESS_KEY 和允许的主机设置。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Stateark,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

StateArk

Never explain your project to an AI twice.

Your chat is a workspace, not an archive. StateArk turns a working session into a versioned, portable project state that any new chat can pick up. Open terminal and write:

bash
npx stateark

Then quit Claude Desktop completely (Cmd+Q) and reopen it. That is the whole install.

(Prefer to install from source? npm install && npm run build && npm run setup — see INSTALL.md. Undo any time with npx stateark remove.)

Here what we had in mind developing stateark - we address a problem millions of users have...

You:  ...three hours of work...You:  Savepoint      -> my-project v0.3 written to ~/StateArk
      (next day, new chat, empty context)
You:  Resume my-project      -> decisions, constraints, rejected approaches, open questions,         and the actual files - all current, none of the detours

Local by default. Savepoints are ordinary folders of Markdown, JSON and your real files. Nothing is uploaded. If StateArk disappears tomorrow, you still have everything.

text
~/StateArk/projects/my-project/v0.3/  state.md        <- the canonical state, readable in any editor  state.json  manifest.json   <- every artifact with its SHA-256  artifacts/    app.py    schema.sql

Commands

In the chatWhat happens
Savepointconsolidate the session into a new version
Resume <project>load the latest state into a fresh chat
History <project>list the versions
Diff <project>what actually changed between two savepoints
In the terminal
npx statearkregister with Claude Desktop
npx stateark reportanonymised local usage summary, printed for you only
npx stateark removeunregister; savepoints are kept

What makes it more than a summary

  • Carry-forward. Files you do not re-submit are copied into the new version with their original hash, so a forgetful model cannot silently lose your schema.
  • Integrity checks. StateArk cannot see your chat - so it checks what it can: truncation markers (// ... rest unchanged), files that collapsed in size, files the state describes but never handed over, savepoints identical to their predecessor. It warns, it never blocks: the savepoint is always written.
  • Journal. Between savepoints the model quietly records turning points, so a Savepoint at the end of a long session does not depend on a degraded context. Only for projects you already saved once - scratch conversations are never touched.

Requirements

Node 20+. Claude Desktop, or Claude Code (claude mcp add --transport http ...). It also runs under other local MCP hosts — users have it working with Codex and Hermes against the same store.

Hosted clients that dial your server from the vendor's cloud (Claude web, ChatGPT web) cannot reach localhost. See INSTALL.md.

Several agents at once

Supported, and worth saying plainly because it is the setup that broke first. Writes to a project are serialised across processes, so two agents cannot claim the same version number. If a savepoint reports that another process is busy, repeat it in a moment — nothing is lost. A process that dies mid-write releases its lock automatically.

If your store lives in Dropbox, OneDrive or iCloud Drive: several agents on one machine are fine. Two machines writing the same store simultaneously is a sync conflict, which the sync client resolves and StateArk cannot.

VariableDefault
STATEARK_LOCK_WAIT_MS60000how long to wait for another process before giving up
STATEARK_LOCK_STALE_MS120000when a lock is assumed to belong to a dead process
STATEARK_FS_RETRIES6retries when a sync client holds a file open

Licence

Elastic License 2.0. Use it for anything including commercially, read and modify the source, share the package. You may not offer it to third parties as a hosted or managed service. Your savepoints are yours and are not covered by this licence.


Architecture

text
ChatGPT / Claude / Gemini-capable MCP client                 |                 v          StateArk Local Agent      <- 127.0.0.1 only, by default                 |                 v        ~/StateArk/projects         <- SOURCE OF TRUTH                 |                 | optional                 v             Supabase               <- mirror / backup / transport

A Savepoint is an ordinary directory, not a proprietary database:

text
StateArk/projects/my-project/  journal.ndjson      # entries recorded since the last savepoint  project.json        # index (self-healing: rebuilt from disk if corrupt)  v0.3/    state.md          # human- and LLM-readable canonical state + integrity warnings    state.json        # the same state, structured    meta.json         # version, lineage, platform, sync status, warnings    manifest.json     # artifacts with SHA-256, stored/pending, carried_forward_from    journal.ndjson    # the entries this savepoint consolidated    artifacts/      app.py      schema.sql      prototype.zip

If StateArk disappears, those files remain usable.

Install

Requires Node 20+.

bash
npm installnpm run typechecknpm test          # 97 checks against a throwaway store — run this firstnpm start

No .env is needed for local-only mode. Copy .env.example to .env only if you want to change the port, the store location, or enable the Supabase mirror.

On first run StateArk generates a random access key and stores it in ~/StateArk/.access-key (mode 0600). The startup banner prints your endpoints:

MCP:         http://localhost:8787/mcp/<key>Upload page: http://localhost:8787/upload/<key>Health:      http://localhost:8787/health

Security model

The HTTP entrypoint is a local server on your own machine, so StateArk assumes any web page you visit is hostile:

ControlDefault
Bind address127.0.0.1 (STATEARK_BIND to change)
Access keyrandom per install, in <root>/.access-key, constant-time compared
Origin headerloopback only, plus STATEARK_ALLOWED_ORIGINS
Host headerloopback only, plus STATEARK_ALLOWED_HOSTS (DNS-rebinding guard)
CORSechoes the validated origin, never *
Upload formsingle-use CSRF token, capped body size
Non-loopback bindrefuses to start unless the access key is ≥ 24 chars

Before exposing the agent over HTTPS: set a long STATEARK_ACCESS_KEY, set STATEARK_ALLOWED_HOSTS to your tunnel hostname, and put a real reverse proxy in front.

Platform reality

Local-first and hosted LLMs are different networking environments. Claude Desktop/Code and other local MCP clients can talk to the local agent directly. A hosted ChatGPT/Gemini client generally cannot reach localhost on your computer. For those you would need a secure HTTPS route to your running local agent — remote access is on the roadmap and does not exist yet.

If you are setting this up, in this order:

  1. run StateArk locally;
  2. test Savepoint and Resume from a local MCP client;
  3. enable Supabase sync only if you actually want a mirror;
  4. expose the agent over HTTPS only after the three steps above work.

Local-only mode — the default

Leave SUPABASE_URL, SUPABASE_SECRET_KEY and STATEARK_OWNER_ID unset. Cloud sync stays off and files never leave the machine. Default store: ~/StateArk (override with STATEARK_LOCAL_ROOT).

This is what you get out of the box. The Supabase section below is opt-in.

Local + Supabase sync

Run the migrations in the Supabase SQL editor, in order:

  1. supabase/migrations/001_stateark.sql
  2. supabase/migrations/002_artifacts.sql
  3. supabase/migrations/003_hardening.sql

Then set SUPABASE_URL, SUPABASE_SECRET_KEY (server-side Secret key, never a publishable key), STATEARK_OWNER_ID, and STATEARK_STORAGE_BUCKET.

Cloud is a mirror, not the master:

  • the local savepoint is committed first and a cloud failure cannot invalidate it;
  • cloud deletion does not delete local data;
  • sync status lives in meta.json (disabled / pending / synced / failed);
  • retry a failed push with the sync_savepoint tool.

Text/code artifacts up to 2 MB are mirrored inline in Postgres; everything else goes to the private Storage bucket. The mirror is not end-to-end encrypted — the Supabase project can read what it stores. Sync is off by default for exactly that reason; turn it on only for a project you would be comfortable putting in any hosted database.

Savepoint behaviour

When you say Savepoint, the host LLM should:

  • reconstruct the latest valid state rather than summarise chronology;
  • retain governing decisions, requirements and constraints;
  • keep rejected approaches only when the reason matters;
  • send exact text/code as transfer=text;
  • send binary bytes as transfer=base64 only when truly available;
  • otherwise mark the artifact transfer=pending instead of fabricating it;
  • omit files that have not changed — they are carried forward automatically;
  • never abbreviate a file with ... rest unchanged.

Local creation is atomic: StateArk writes a temporary bundle and renames it only when complete. Artifact names are sanitised; if a name had to be changed, manifest.json records the original under original_name.

Integrity checks

Every savepoint is compared against its predecessor. Findings are returned in the tool result and rendered at the top of state.md. The savepoint is always written — a check never costs you work, it only tells the model to come clean.

CodeMeaning
artifact_carried_forwardfile was not re-submitted and not declared deleted, so it was copied from the previous version
artifact_became_pendingcontent that was stored is now only pending
artifact_shrankfile collapsed to under 50% of its previous size
truncation_markerstored text contains ... rest unchanged, [...], … gekürzt and similar
no_changethis savepoint is identical to the previous one
journal_not_reflecteddecisions were journalled but the submitted state lists none
artifacts_mentioned_but_missingthe state text names a file (schema.sql, app.py, …) that was never handed over as an artifact

The last one is the check that matters most in practice. StateArk cannot read your chat, so a filename appearing in the prose is the only available clue that the model described a file instead of preserving it. The warning is phrased as a question, because a named file may legitimately be planned or live outside the conversation.

Journal

note_event records one short line per turning point, silently, and only for projects that already exist in StateArk. Untracked projects return tracked: false and nothing is written — that is the filter that keeps scratch conversations out.

At the next Savepoint the journal is consolidated into the new version and cleared. It is never cleared before the savepoint is durably on disk.

Inspect pending entries with the journal tool. Nudging is based on entry count (STATEARK_JOURNAL_NUDGE_AT, default 20), never on a timer.

Diff

diff_savepoints with no version arguments compares the latest savepoint against its predecessor: LCS line diff on the text fields, set diff on the lists, SHA-256 comparison on the artifacts, plus an attention block for anything that looks like silent loss.

Artifacts

Every stored artifact has a SHA-256. Pending files are explicit in manifest.json and in the resume_project output, so the LLM cannot quietly pretend a file exists.

If a binary cannot travel through MCP, open the local upload page printed at startup and attach it to the existing project/version. This resolves the pending manifest entry.

Resume

Resume My Project returns state.md plus the artifact manifest. The LLM calls get_artifact for exact text only when needed. For binaries it gets the verified local path and hash rather than invented content.

MCP clients

  • Claude Desktop — npx stateark registers the stdio entrypoint for you.
  • Claude Code — point it at the local Streamable HTTP endpoint: claude mcp add --transport http ...
  • Codex, Hermes and other local MCP hosts — point them at the same store root and they share your savepoints. Each client is configured separately; there is no shared setting. StateArk writes a README.md into the store explaining the layout, which most coding agents will read on their own.
  • ChatGPT web/mobile, Gemini, and other hosted clients — these dial your server from the vendor's cloud and cannot reach localhost on your machine. That is a networking fact, not a missing feature. Reaching your savepoints from a hosted client needs an authenticated HTTPS route to your own machine; it is on the roadmap and does not exist yet.

Roadmap

Nothing here exists yet. In roughly this order:

  • Optional cloud storage — your savepoints mirrored so a dead laptop is not a dead project. Off by default, and only ever a copy: your disk stays the original.
  • Remote access — reaching your state from web and mobile clients, not just the desktop app on the one machine that holds it.
  • Branching — two chats working the same project currently produce one linear chain of versions. Documented, not solved.
  • State pruning — over many savepoints state.md grows without limit. It needs a size ceiling and a rule for what ages out.

StateArk is free to use, including commercially. See the licence above for the one thing it does not allow.

来源:README.md,提交 e1092c6

工具

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版本历史

1
  1. v0.5.3最新Sep 16, 2026

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