Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Descripción del creador (original en inglés)
Read-only MCP access to a local append-only evidence ledger for AI agent sessions.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Descargar el archivo .mcpb del creador
El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.
Ejecuta esto en tu terminal
Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub Liyuan1992, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.7.1) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas MCPB en tu computadora.
En la misma categoría: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
English | 简体中文
rawmem is a tiny local-first evidence ledger for AI and human workflows.
The idea is deliberately small:
Store now, understand later.
AI memory systems often start by summarizing. rawmem starts one layer lower: append-only raw evidence. A chat turn, a 2px UI tweak, a bug fix, a command run, a git snapshot, a browser clip, or a coding-agent completion can all become the same kind of local event.
The hard boundary is simple: capture is not recall. The ledger is a source layer. Review, filtering, MemoryDSL conversion, preference mining, and project rules can be derived later.
Small facts look noisy alone. Repeated across time and projects, they become patterns:
Disk is cheap. Missing history is expensive.
New to programming? Choose the Windows app (EXE). An EXE is a Windows program you open by double-clicking. Running it requires no Python installation or terminal commands.
| Who it is for | Choose | Requirements |
|---|---|---|
| Windows users who want a graphical app | Windows EXE preview | A built rawmem.exe; no Python required |
| Developers who want commands or integrations | Python CLI | Python 3.10+ and Git for the source installation below |
Choose one approach; you do not need both. There is currently no downloadable release of the new EXE preview. A developer must build it from source first. Users unfamiliar with programming can wait for an EXE release instead of following the Python commands below.
Once you have a built rawmem.exe, double-click it, choose a storage folder, decide whether to start at logon, and click to begin recording. Browser saving requires the optional extension. See Windows recorder for setup and build instructions. This preview is unsigned and the extension still requires manual developer-mode installation.
EXE users can skip this section. With Python 3.10+ and Git installed, run these commands in PowerShell:
git clone https://github.com/Liyuan1992/rawmem.git
cd rawmem python -m pip install --user -e .
The core runtime has no third-party dependencies. DeepSeek Harness compressed session capture and the MCP server are optional extras:
python -m pip install --user -e ".[deepseek-harness,mcp]"
To install the published v0.7.1 wheel without cloning the repository:
python -m pip install "rawmem[deepseek-harness,mcp] @ https://github.com/Liyuan1992/rawmem/releases/download/v0.7.1/rawmem-0.7.1-py3-none-any.whl"
Make sure the user Scripts directory (e.g. %APPDATA%\Python\Python312\Scripts) is on PATH so rawmem works from any directory.
rawmem setup --global --install-startup --dry-run # inspect first; writes nothing
rawmem setup --global --yes # global config + git hooks for all repos rawmem setup --install-startup --yes # run the daemon headless at every logon rawmem setup --start-daemon # start it right now rawmem config --show-browser-token # paste into the browser extension options rawmem doctor # verify the complete installation
After this the daemon passively tails Claude Code, Codex, and Cursor sessions, tails PowerShell history, watches configured directories, and serves the browser-capture endpoint — with zero per-event action from you. Clipboard polling is available but disabled by default; enable it explicitly in config or with rawmem config --include-clipboard. The guiding principle is passive over self-report: evidence is pulled from logs other tools already write, not pushed by agents remembering to report back.
See docs/SETUP.md for the full setup matrix and the browser extension.
For DeepSeek Harness capture plus bounded read-only MCP access, see docs/DEEPSEEK_HARNESS.md.
Background capture (the primary path):
rawmem daemon # run all background surfaces in one process
rawmem daemon --status # task counters, errors, last run times rawmem doctor # config, storage, daemon, token, startup, hooks, events rawmem doctor --strict # warnings also produce a nonzero exit code rawmem sync # one manual tailer pass rawmem sync --backfill # first run: also ingest existing history rawmem config --disable-clipboard rawmem config --rotate-browser-token
Preview or remove integrations:
rawmem setup --global --install-startup --dry-run
rawmem uninstall --dry-run rawmem uninstall # disables integrations; keeps ~/.rawmem rawmem uninstall --remove-home --yes # also deletes the ledger and local state
Inspect the ledger:
rawmem tail --limit 10
rawmem tail --source claude-code --limit 5 rawmem tail --project rawmem --type agent_user_turn --json rawmem verify --json rawmem export --cursor-file .rawmem\consumer-cursor.json --limit 100 rawmem seal --yes --json # unchanged read-only archive + linked active ledger rawmem archives --json # metadata-only derived archive registry rawmem export --archive .rawmem\archives\old.jsonl # explicit; metadata-only default
rawmem export uses the stable rawmem.cursor.v1 contract and never needs to load the whole ledger. Cursors bind to a ledger identity plus a byte offset and boundary hash, so truncation, replacement, or rotation is reported explicitly instead of silently skipping or duplicating evidence. See docs/LEDGER_PROTOCOL.md.
rawmem verify is strictly read-only: it never creates or refreshes lock/state sidecars. rawmem seal keeps historical bytes unchanged, records the full verification report and every accepted previous_hash_mismatch, marks the old ledger ReadOnly on Windows, and creates a chain-complete active ledger at the same configured path. Archive reads require --archive; they hash the complete archive before returning results, default to a body-free metadata projection, and surface recorded integrity warnings.
Manual and scripted capture:
rawmem capture --source manual --type note --text "First rawmem event"
"The button should be 2px larger." | rawmem capture --source clipboard --type ui_feedback --stdin rawmem ingest --file event.json "Selected page text" | rawmem clip --stdin --url "https://example.com" rawmem run --source terminal -- python --version rawmem git-snapshot
Capture preserves complete supported text without a character cap, including when old configurations still contain max_chars. Source batch sizes are processing budgets and never split complete records. Browser capture saves only the loaded document on an explicit click; it does not fetch hidden history.
| Surface | How | What lands in the ledger |
|---|---|---|
| Claude Code sessions | daemon tailer (zero friction) | user/assistant turns, project, session, branch |
| Codex sessions | daemon tailer (zero friction) | user/assistant turns, project, session |
| Cursor agent transcripts | daemon tailer (zero friction) | user/assistant turns, workspace, session |
| DeepSeek Harness sessions | opt-in daemon tailer (zero friction after setup) | direct user/model turns; tool name/id/status metadata only |
| WorkBuddy local history | opt-in daemon tailer (desktop setup enables it) | 5.1-style JSONL message text and source identity |
| OpenClaw local history | opt-in daemon tailer (desktop setup enables it) | legacy JSONL and new SQLite transcript messages; shared identity dedupe |
| Shell commands | daemon tailer of PSReadLine history | every completed command line |
| Clipboard | daemon poller (deduped, opt-in) | clipboard text changes |
| Git lifecycle, all repos | setup --global --yes core.hooksPath hooks | commit/checkout/merge/rewrite/push snapshots |
| File changes | daemon watcher | batched created/modified/deleted paths |
| Browser pages | MV3 extension (extension/) + token-protected localhost endpoint | selection or page text, title, URL |
| Any adapter/tool | ingest / POST /capture | JSON event payloads |
| Manual notes | capture / clip / run | raw text, tags, artifacts, command results |
By default, events are written to:
~/.rawmem/events.jsonl
Use --local to write to the current project's private ledger:
.rawmem/events.jsonl
Use --ledger or RAWMEM_LEDGER for an explicit ledger path.
Capture policy is configured under privacy in ~/.rawmem/config.json. Optional project/path allowlists fail closed, common secret shapes are redacted before append, and artifacts default to metadata references rather than embedded content. Daemon status and rawmem doctor expose source coverage, skipped events, redactions, and cursor health without printing captured text.
.rawmem/ is ignored by Git because raw evidence can contain private text, paths, command output, and local work context.
Each line is JSON:
{
"schema": "rawmem.event.v1", "event_id": "evt_...", "ts": "2026-07-09T00:00:00Z", "source": "codex", "event_type": "task_note", "project": "rawmem", "cwd": "/workspace/fictional-rawmem", "summary": "User asked for a local-first raw evidence ledger.", "raw_text": "User asked for a local-first raw evidence ledger.", "tags": [], "artifacts": [], "payload": {}, "privacy": { "scope": "local_only", "review_required": true }, "previous_hash": null, "content_hash": "..." }
The previous_hash / content_hash chain is a lightweight tamper-evidence mechanism. It is not a security boundary, but it makes accidental rewrites more visible.
rawmem should not chase every AI tool with one giant integration. The stable piece is the ledger. Capture adapters can be small and optional:
All adapters should emit the same event schema.
MCP is a query adapter, not a promotion path. rawmem-mcp exposes only path-free status, bounded recent events, and archive metadata. Summary access is the default; raw bodies require an explicit read:full scope.
~/.rawmem/config.json.--yes.rawmem uninstall preserves captured data unless --remove-home --yes is explicit.See PRIVACY.md and SECURITY.md before enabling background capture on a daily driver machine.
$env:PYTHONPATH = "src"
python -m unittest discover -s tests python scripts/open_source_audit.py