Vexa
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
作者提供的说明(英文原文)
One searchable history across every AI coding tool, with secret scanning and a shared task board.
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。
CHAT_RECALL_SERVER, CHAT_RECALL_MCP_PROFILE, CHAT_RECALL_NO_DAEMON, CHAT_RECALL_DAEMON_IDLE_SECS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 …”。
适用于网页版、桌面版和手机版 Claude:
https://chatrecall.dev/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"chat-recall": {
"command": "npx",
"args": [
"-y",
"chat-recall"
],
"env": {
"CHAT_RECALL_SERVER": "your-value",
"CHAT_RECALL_MCP_PROFILE": "your-value",
"CHAT_RECALL_NO_DAEMON": "your-value",
"CHAT_RECALL_DAEMON_IDLE_SECS": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http chat-recall https://chatrecall.dev/mcpclaude mcp add chat-recall --env CHAT_RECALL_SERVER=your-value --env CHAT_RECALL_MCP_PROFILE=your-value --env CHAT_RECALL_NO_DAEMON=your-value --env CHAT_RECALL_DAEMON_IDLE_SECS=your-value -- npx -y chat-recall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": {
"chat-recall": {
"url": "https://chatrecall.dev/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"chat-recall": {
"command": "npx",
"args": [
"-y",
"chat-recall"
],
"env": {
"CHAT_RECALL_SERVER": "your-value",
"CHAT_RECALL_MCP_PROFILE": "your-value",
"CHAT_RECALL_NO_DAEMON": "your-value",
"CHAT_RECALL_DAEMON_IDLE_SECS": "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": {
"chat-recall": {
"type": "http",
"url": "https://chatrecall.dev/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"chat-recall": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"chat-recall"
],
"env": {
"CHAT_RECALL_SERVER": "your-value",
"CHAT_RECALL_MCP_PROFILE": "your-value",
"CHAT_RECALL_NO_DAEMON": "your-value",
"CHAT_RECALL_DAEMON_IDLE_SECS": "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。
ChatGPT 只能连接互联网上的服务器:
https://chatrecall.dev/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
CHAT_RECALL_SERVER envCHAT_RECALL_MCP_PROFILE envCHAT_RECALL_NO_DAEMON envCHAT_RECALL_DAEMON_IDLE_SECS 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。
服务器要求先登录,才会列出它的工具。
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 munhq 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
在 379 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
尚未检查;我们会在检查端点时读取工具列表
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 3 项适用的基础检查中通过了 3 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。
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(0.7.31)于3天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Vexa, emailmd, MCP WhatsApp Cloud
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
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
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。
[chatrecall.dev](https://chatrecall.dev) · How it works · MCP tools · Pricing · Self-host · Security
Turn what your AI coding tools already write into shared team knowledge, leaked-secret alerts, ranked code findings and tracked tasks.
Your agents wrote it all down. Nobody read it.
Every coding agent you run keeps a full transcript of its work: the decisions, the reasoning, the keys somebody pasted, the problems it found and never filed. Each one writes to its own directory in its own format, none can read another's, and nothing reads any of them. chat-recall does, through 68 MCP tools.
| What it does | Tools | |
|---|---|---|
| Shared AI knowledge | Decisions, conventions and project facts one agent learned, available to every other agent and every teammate. Time-aware, so a superseded decision reads as superseded | 16 |
| Security findings | Credentials pasted into past conversations, flagged per session, checked for whether they still work, and tracked until rotated or dismissed | 4 |
| Automated code improvements | Ranks what is actually worth fixing in a repository, then applies or dismisses each recommendation, with code intelligence over the repo itself | 9 |
| Task tracking | A shared board fed by those findings, with rules per repository, so a finding becomes work instead of a report | 5 |
Underneath all four is one index of every session your tools already wrote, and 28 more tools to search, replay and diff it. That index is the mechanism. It is not the pitch, and it is not why anyone buys this.
The cross-tool part is what makes it work. A single tool's built-in history stops at its own boundary. This does not, and neither does your team.
Every screen below is real output against a real server, captured from the demo account. Nothing is mocked, replayed or re-timed.
One index, every tool. Search finds a session by what was *discussed* in it, not by its filename, and memory status shows every source type in one place — sessions beside the skills, MCPs, commands, subagents and hooks that produced them.
Or just ask in plain English — no tool names, no session ids. The agent picks the call itself:
It also finds the credentials you pasted, and checks which ones still work. A dead key is hygiene. A live one is an incident, and only live ones raise an alert.
npx chat-recall init
That indexes the transcripts already on your disk, detects which AI tools you have, and registers the MCP server in each of their configs:
| Tool | File it writes |
|---|---|
| Claude Code | ~/.mcp.json |
| Codex | ~/.codex/config.toml |
| OpenCode | ~/.config/opencode/opencode.json |
| Cursor | ~/.cursor/mcp.json |
It only touches a config whose tool is on this machine, it never overwrites an entry you curated by hand, and chat-recall doctor prints one line per tool so a missing registration is visible. Inside Claude Code you can install the skills and the MCP server together instead:
/plugin marketplace add munhq/chat-recall
/plugin install chat-recall@chat-recall
Any other MCP client (Claude Desktop, Windsurf, Zed, Cline, or a tool init does not know) takes the same server as a JSON entry. The bin is chat-recall-mcp, which is why the package name alone is not enough — npx -y chat-recall starts the CLI, not the server:
{
"mcpServers": { "chat-recall": { "command": "npx", "args": ["-y", "-p", "chat-recall", "chat-recall-mcp"] } } }
The same command as one line, for a claude mcp add-style client: npx -y -p chat-recall chat-recall-mcp.
Then:
chat-recall search "that auth bug" # search everything you have ever done
chat-recall recent # what was I working on
By default this syncs to the hosted server at chatrecall.dev, which starts with a 7-day trial that needs no card and is a paid subscription after that — see pricing. To keep everything on your own machine instead, run the server yourself: that is free for one person, forever, with every feature and no licence key — the task board and Toolkit included — and a licence only buys collaboration: a second member, shared history, assigning work. See Self-host below. Either way the CLI is the same binary and the same commands; only the server URL differs.
No API keys are required. Search is Postgres full-text search. AI summaries are an optional upgrade, not a prerequisite.
It indexes every AI session on this disk, so init shows you what would upload — count, tools, and the projects by name — and waits for a yes before the first sync. (--yes, or no TTY, prints the same summary and proceeds; --skip-sync holds the upload back entirely.) Secrets are masked client-side and project paths are sent as hashes; on top of that you choose what is in scope at all:
chat-recall exclude project ~/work/client # a path, and everything under it, never syncs
chat-recall exclude tool cursor # one AI tool never syncs chat-recall sync-only add git:github.com/me/app # invert it: ship ONLY what you list chat-recall sources decline ~/.claude-work # a whole transcript profile stays out
chat-recall exclude list # every rule in force chat-recall delete # purge one session on every server, tombstoned chat-recall retention # how long the server keeps what you sent chat-recall retention set 90 # delete anything older, on a timer (0 = keep everything)
Some tools file transcripts under a hash rather than a project folder, so those sessions have no path for a path rule to match; exclude tool is the control that covers them, and init prints that count. A retention window deletes from the server on a timer. retention set prints how many sessions it would remove and makes you confirm the number. It is undoable only where the original transcript is still on a machine you have — widen the window and chat-recall sync --full re-ships what it admits. For a laptop you no longer own, history your AI tool rotated, or files you deleted, our copy is the only copy. Export first if you want one.
Exclusions live on the machine that holds the data, so the CLI owns them; they apply from the next sync, and rows already synced stay until deleted. The dashboard's Sync rules panel adds rules across every device — unioned with the local ones, so it can only ever add protection. Full model, limits included: Security.
~/.claude/projects/), Codex (~/.codex/), OpenCode (~/.local/share/opencode/), Antigravity (~/.gemini/antigravity-cli/), Cursor (~/.cursor/ for the CLI, ~/.config/Cursor/ for the IDE), Hermes Agent (~/.hermes/) and Pi (~/.pi/agent/). Sessions, plans, tasks, CLAUDE.md files, paste cache, shell history and agent diaries all share one pluggable MemorySource interface.recall_smart_resume, recall_search (with like_session to find similar work), recall_edits_timeline, recall_subagent_search and recall_redundant_files rather than asking you what happened last time. It writes back too, via recall_decision_record, recall_kg_add and recall_set.UserPromptSubmit hook searches for similar past sessions on every prompt and injects a short "you have done this before, in session X" note into the agent's context.valid_from/valid_to windows, so you can ask what was decided in March and whether it still holds.A new backend is one file and one line — no changes to the engine. If a tool you use writes transcripts to disk, it can be indexed here, and a pull request is the fastest way to make that happen.
The React dashboard is part of the server (SaaS or self-host docker compose) — the CLI itself has no UI. For dashboard development:
npm run web:install # install web deps
npm run web:dev # API on :5000, UI on :5174
Everything on your own machine, no account, nothing sent anywhere:
git clone https://github.com/munhq/chat-recall && cd chat-recall
echo "ADMIN_KEY=$(openssl rand -hex 24)" >> .env echo "POSTGRES_PASSWORD=$(openssl rand -hex 24)" >> .env docker compose up -d --build # FIRST RUN BUILDS FROM SOURCE (minutes)
Then mint a device token and connect a machine — the full sequence, with troubleshooting, is in [docs/SELF_HOSTING.md](docs/SELF_HOSTING.md).
Two containers: the server plus a bundled pgvector/pgvector Postgres, so a plain docker compose up is self-contained. Bring-your-own-Postgres is supported too (it is how the hosted service runs): set DATABASE_URL to an external Postgres 16+.
You do not need a daemon. Claude Code spawns the MCP server, and that process syncs every 3 minutes on its own — the binary is the daemon. For a headless box with no assistant running, opt in to a background service:
chat-recall watch # foreground daemon: watches every tool, summaries, precompute
chat-recall watch --install-service # systemd user unit (Linux) · launchd (macOS) · Scheduled Task (Windows)
init does not install it, on purpose. Both paths push through the same syncIncremental() under the same cross-platform index lock, so one writer touches the ledger at a time — see [docs/SYNC.md](docs/SYNC.md
只显示了开头部分;其余内容请在仓库中阅读