Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
作者提供的说明(英文原文)
Verifiable cognition: prove a session ledger is tamper-evident; audit & import any agent's logs.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
KORG_JOURNAL_PATH, KORG_LEDGER_HMAC_KEY你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"korg-ledger": {
"command": "uvx",
"args": [
"korgex"
],
"env": {
"KORG_JOURNAL_PATH": "your-value",
"KORG_LEDGER_HMAC_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add korg-ledger --env KORG_JOURNAL_PATH=your-value --env KORG_LEDGER_HMAC_KEY=your-value -- uvx korgex运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"korg-ledger": {
"command": "uvx",
"args": [
"korgex"
],
"env": {
"KORG_JOURNAL_PATH": "your-value",
"KORG_LEDGER_HMAC_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"korg-ledger": {
"type": "stdio",
"command": "uvx",
"args": [
"korgex"
],
"env": {
"KORG_JOURNAL_PATH": "your-value",
"KORG_LEDGER_HMAC_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
KORG_JOURNAL_PATH envKORG_LEDGER_HMAC_KEY env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 New1Direction 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.6.3)于5个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Finance Toolkit, SolidInvoice, Korea Tax Calculator
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.
Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
English · 简体中文 · 繁體中文
An AI coding teammate for your terminal — that keeps the receipts.
Tell korgex what you want in plain English — *"fix the failing test," "add a healthcheck endpoint"* — and it reads your code, makes the change, runs the tests, and shows you exactly what it did. It's free and open-source, and it works with whatever AI you prefer (Claude, ChatGPT, Gemini, Grok, or a private model running on your own computer), so you're never locked to one company.
Why it's different: everything korgex does is saved to a tamper-proof record you can check later. If anyone alters that record — even by a single character — korgex can prove it. It's a coding assistant you can *audit*, not just hope to trust.
For developers: terminal-native, plan-first, speaks both the Anthropic and OpenAI tool-use protocols, runs on any OpenAI- or Anthropic-compatible model (incl. local via Ollama), connects to any MCP server, streams live, and records every run to a hash-chained causal ledger you can check with korgex verify . MIT-licensed.
$ korgex "add a /healthz endpoint that returns 200 with uptime"
➤ Read(file_path=/app/routes.py) ➤ Edit(file_path=/app/routes.py, old_string=..., new_string=...) ➤ Bash(command=pytest tests/test_routes.py -q) ✓ Added GET /healthz returning {"status": "ok", "uptime_seconds": ...}
$ korgex verify ✓ ledger intact — 7 events, hash-chain + causal DAG verified
pip install -U korgex # or, for an isolated global CLI:
uv tool install korgex@latest
Requires Python ≥ 3.10 (tested on 3.10, 3.11, 3.12, 3.13).
maingit clone https://github.com/New1Direction/korgex.git && cd korgex && pip install -e .
pip install git+https://github.com/New1Direction/korgex.git
# 1. Connect a provider (interactive — saves to ~/.korgex/config.json)
korgex setup
export ANTHROPIC_API_KEY="sk-ant-..." export OPENAI_API_KEY="sk-proj-..." export KORGEX_API_KEY="sk-or-v1-..." KORGEX_API_URL="https://openrouter.ai/api/v1" # OpenRouter export KORGEX_API_URL="http://your-gpu-box:8000/v1" # self-hosted vLLM/llama.cpp → korgex --model Qwen2.5-Coder-32B "…"
korgex "fix the failing test in tests/test_auth.py"
korgex --model claude-sonnet-4-6 "refactor src/handler.py" korgex --mode plan "design a rate limiter for the API" korgex --quiet "list the python files in src/" # no TUI — pipe-friendly
korgex verify
Run bare korgex with no prompt to drop into the interactive REPL.
Run bare korgex for a streaming, multi-turn session. It connects your MCP servers, reads your project rules, and keeps a per-session rewind log.
Slash commands
| Command | What it does | |
|---|---|---|
/loop | Grind a task list unattended — auto-continues turn after turn until done, with a hard cap (Ctrl-C stops). | |
/diff [n] | Colored diffs of what changed in the last turn (or turn n). | |
/rewind [n] | List undo points, or restore files to BEFORE prompt n. | |
/skills · /skills curate | List skills korgex learned (✦); curate merges near-duplicates. | |
/tasks · /jobs | The live task checklist; background shell jobs. | |
| `/plan [on\ | off]` | Plan mode — read-only until you approve the agent's plan. |
/model [id] | Show a priced model menu, or switch the live model mid-session. | |
/verify · /cost | Verify the session ledger; show estimated $ spend from recorded tokens. | |
/resume [id] | Reload a prior session's transcript into context and continue where you left off. | |
/ [args] | Run a custom command — a markdown prompt from .korgex/commands/ (or a built-in like /code-review, /build-fix, /checkpoint). | |
/clear · /help · /exit | Reset the conversation · help · quit. |
Inline shortcuts
refactor @src/auth.py to use @src/db.py.!git status, !pytest -q.Project rules. korgex init scaffolds an AGENTS.md; korgex auto-reads it — plus any nested AGENTS.md up the tree and .korgex/rules/*.md — every session, so it follows your house style.
Prompt caching keeps the system prompt + tools warm across turns (automatic on OpenAI/Gemini/Grok/DeepSeek; cache_control breakpoints on Claude/Qwen). Set KORGEX_CACHE_STATS=1 to see per-turn cache hits — and every hit is recorded on the ledger, so korgex cost prices cached tokens at their real discounted rate (and shows what the cache saved you), provable with korgex verify.
flowchart TD
U["You — prompt or REPL"] --> CLI["korgex CLI / REPL"] CLI --> AG["KorgexAgent loop plan → act → verify"] AG -->|model id| PB{Provider} PB -->|"claude / anthropic/*"| ANT["Anthropic SDK"] PB -->|everything else| OAI["OpenAI-compatible SDK OpenAI · OpenRouter · Ollama · Grok · DeepSeek"] ANT --> TR["Tool router (src/tool_abstraction.py)"] OAI --> TR TR --> BT["Built-in tools Read · Edit · Bash · Grep · …"] TR --> MCP["MCP servers (any in mcp.json)"] TR --> CA["CodeAct kernel code = the action (opt-in)"] BT --> LED[("korg-ledger hash-chained + causal DAG")] MCP --> LED CA --> LED LED -. "verify · trace · why · cost" .-> U
The agent is provider-agnostic by design: tool schemas are translated per provider ({name, description, input_schema} for Anthropic, {type:"function", function:{…}} for OpenAI), responses are normalized into a common shape, and tool results are formatted in whichever message structure the provider expects. Every tool call — built-in, MCP, or CodeAct — is recorded to the ledger as it happens.
In plain terms: korgex keeps a logbook of everything it does — every file it reads, every command it runs. Each entry is sealed to the one before it, like links in a chain, so if anyone later changes, adds, or removes even one entry, the chain visibly breaks. The result is honest, checkable proof of what the AI actually did — for audits, compliance, debugging, or simple peace of mind. As far as we know, no other coding agent does this.
Under the hood: every run is recorded to a tamper-evident causal ledger, not an opaque log. Each event is hash-linked (prev_hash/entry_hash) to the previous one *and* causally linked (triggered_by) to what caused it — so a whole session can be cryptographically proven intact, and any edit, deletion, reorder, or splice is detected and localized to the offending event.
flowchart LR
subgraph chain["korg-ledger — each event hash-linked to the last"] direction LR E0["prompt a1f3"] --> E1["Read 7c0e"] --> E2["Edit b42d"] --> E3["Bash: pytest 9d11"] end E3 --> V{{"korgex verify"}} V -->|chain intact| OK["✓ proven unaltered"] V -->|"edit / splice / reorder"| BAD["✗ localized to the bad event"]
korgex verify # prove the recorded run wasn't altered (exit 0/1, CI-friendly)
korgex trace # the causal trace — what the agent did + what caused it korgex why src/auth.py # walk the causal chain back from a file change to its prompt korgex recall "rate limiter" # pull lean, verified context for a query — retrieve, don't carry korgex cost # estimated $ spend for the session, from recorded token counts export KORG_LEDGER_HMAC_KEY=… # make the chain tamper-PROOF, not just tamper-evident
Memory drift. A remembered fact is anchored to a sha256 baseline of its source, so when the source moves on the staleness is an exact signal — and the keep/refresh/discard reconcile decision is itself recorded to the ledger.
korgex drift # scan persistent memories for drift vs their source baselines (exit 0/1)
Audit logs you already have — and share the proof. korgex audit imports a session you already ran (auto-discovers your Claude Code logs) into a verifiable chain. Add --html and you get a single self-contained file that re-verifies itself in the recipient's browser — including a live *tamper test* that breaks the chain on purpose so anyone can feel the evidence. No setup, no buy-in, no network calls.
korgex audit --html audit.html
korgex import transcript.json # replay any vendor's session into a korg-ledger@v1 journal korgex trajectory --out train.jsonl # export the journal as a provenance-stamped training trajectory
Hand someone a receipt. korgex receipt mints a single portable file that proves what a run did — the events (so it checks offline), a plain-language --claim, a summary, and an optional --sign that attests *who* with your own key. The recipient confirms it with korgex receipt verify (exit 0/1), or just opens the --html and watches it re-verify itself. A provable deliverable, not a screenshot.
korgex receipt --claim "shipped /healthz + passing test" --sign --html receipt.html
只显示了开头部分;其余内容请在仓库中阅读