Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Local screen and activity knowledge graph, served as context to computer-use agents.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
CHRONICLE_HOME, CHRONICLE_DISABLE_CAPTURE필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"chronicle": {
"command": "uvx",
"args": [
"chronicle-context",
"mcp"
],
"env": {
"CHRONICLE_HOME": "your-value",
"CHRONICLE_DISABLE_CAPTURE": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add chronicle --env CHRONICLE_HOME=your-value --env CHRONICLE_DISABLE_CAPTURE=your-value -- uvx chronicle-context mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"chronicle": {
"command": "uvx",
"args": [
"chronicle-context",
"mcp"
],
"env": {
"CHRONICLE_HOME": "your-value",
"CHRONICLE_DISABLE_CAPTURE": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"chronicle": {
"type": "stdio",
"command": "uvx",
"args": [
"chronicle-context",
"mcp"
],
"env": {
"CHRONICLE_HOME": "your-value",
"CHRONICLE_DISABLE_CAPTURE": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
CHRONICLE_HOME envCHRONICLE_DISABLE_CAPTURE env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 aniketxdey 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.3.0)은 3일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Record your screen and system events on your computer, write context files and workflows from them, and build them into LLM harnesses for any task. Any AI can use a harness over MCP or as downloaded files.
The full documentation covers the app, every command, and the API.
An agent usually starts each task with no knowledge of your computer. It doesn't know your ticket, your open file, or your last search, so you paste that context by hand. Chronicle keeps that memory on your computer and lets the agent request it:
export.ts, the status of PR 882, and the Notion spec.Chronicle stores everything in ~/.chronicle, with no account and no telemetry. See Privacy for what leaves your computer.
Chronicle needs Python 3.10 or newer. macOS is the main platform, and Linux (X11) and Windows support is best effort.
These commands load a synthetic workday, so Chronicle records nothing.
uv tool install --python 3.12 "chronicle-context[graph]"
chronicle demo chronicle context "finish the Acme export"
chronicle context prints the Markdown that the get_context MCP tool returns. The sample output starts like this:
# Computer context (Chronicle)
Task: finish the Acme export Window: the most recent 2h of history.
To open the app, connect an agent, and record your own work:
chronicle serve
chronicle mcp install cursor chronicle doctor chronicle record 30m --label "file an expense report"
The app runs at http://127.0.0.1:3030. chronicle mcp clients lists every client.
| Platform | What Chronicle needs |
|---|---|
| macOS | Screen Recording and Accessibility for the app that runs Chronicle. Local sources also need Full Disk Access |
| Linux | X11, a window manager, xdotool, and xprop. Wayland sessions aren't supported for window tracking |
| Linux screenshots | One of grim, gnome-screenshot, scrot, or ImageMagick import |
| Linux clipboard and idle time | xclip or wl-paste, and xprintidle |
| Windows | Nothing extra. Chronicle uses user32 and PowerShell |
| OCR, optional | brew install tesseract or apt install tesseract-ocr |
On macOS, the app that runs Chronicle is your terminal or the MCP host, such as Claude Desktop or Cursor. Add it under System Settings › Privacy & Security, then quit and reopen it. Closing its windows isn't enough.
Record. A session runs for a set time, such as 90s, 30m, or 2h, or until you stop it. Every 5 seconds by default, Chronicle samples the front app, its window, and the browser URL. When something changes, and at least every 30 seconds, Chronicle also takes a screenshot and reads screen text. Chronicle never records keystrokes, and it skips password managers, System Settings, and private browser windows.
Read sources. Under Privacy & Sources, you can also turn on Apple Mail, Calendar, iMessage, WhatsApp, browser history, folders, and AI tool logs. Every source starts off.
Build the graph. Each session gets its own graph. Nodes include apps, pages, files, tickets, PRs, people, topics, and tasks. Every node and edge records its time and its source frames, so an agent can cite its evidence. The all-history graph combines the sessions, and older sessions count less.
Write. With a model set up, Chronicle names the graph's work, then writes context files and workflows when a recording ends. Without a model, Chronicle runs offline and builds plain context files from the evidence.
Serve. Agents read everything over MCP.
| Level | What it is | Example |
|---|---|---|
| Harness | Everything an agent needs for a whole line of work | Recruiting |
| Context file | General guidance for one kind of session | Researching job companies |
| Workflow | A short procedure for one specific job | Customizing resume bullets |
chronicle mcp install adds Chronicle to a client's config and keeps a .chronicle-backup copy of the old file. chronicle mcp config prints the snippet and writes nothing.
| Client | Command |
|---|---|
| Claude Desktop | chronicle mcp install claude-desktop |
| Claude Code | chronicle mcp install claude-code |
| Cursor | chronicle mcp install cursor |
| VS Code (Copilot agent mode) | chronicle mcp install vscode |
| Windsurf | chronicle mcp install windsurf |
| OpenAI Codex CLI | chronicle mcp install codex |
| Gemini CLI | chronicle mcp install gemini-cli |
| Cline | chronicle mcp install cline |
| LM Studio | chronicle mcp install lm-studio |
| Zed | chronicle mcp config zed |
| Continue | chronicle mcp config continue |
| Goose | chronicle mcp config goose |
Restart the client after an install. Only one Chronicle process captures at a time, so an agent can call start_recording without chronicle serve. chronicle mcp --no-record turns that off.
Packaged installs need only uv.
claude plugin marketplace add aniketxdey/chronicle
claude plugin install chronicle@chronicle
gemini extensions install https://github.com/aniketxdey/chronicle
MCP Registry clients can search for io.github.aniketxdey/chronicle.
Hosted agents need a public HTTPS URL. Anyone with the URL that these commands print can read your Chronicle data. Stop the tunnel when you finish.
export CHRONICLE_TOKEN=$(openssl rand -hex 16)
export CHRONICLE_PUBLIC_URL=https://YOUR-TUNNEL-HOST chronicle serve & cloudflared tunnel --url http://127.0.0.1:3030 echo "$CHRONICLE_PUBLIC_URL/mcp/$CHRONICLE_TOKEN"
chronicle mcp config prints a starting point for chatgpt, openai-api, anthropic-api, gemini-api, and http. Provider model names and beta flags change often, so check each provider's MCP documentation. The examples folder has longer scripts.
The harness editor exports a .zip or one Markdown file. Each context file and workflow has Download .md. Each graph downloads as JSON, text, GraphML, or Cypher.
| Tool | What it does |
|---|---|
list_harnesses, get_harness, read_harness_file, search_harness_graph | Read a harness, its files, and its graph engine |
get_context_file, get_workflow, get_graph | Read one context file, workflow, or graph |
get_context | A context pack for a task, with an optional preset |
search_history | Full-text search over screen text, events, transcripts, and memories |
query_graph, get_entity, graph_summary | Find nodes, read their evidence, and get graph totals |
list_tasks, activity_summary, list_meetings | Timelines and summaries |
get_frame | One frame, optionally with its screenshot |
start_recording, stop_recording, list_sessions | Record a demonstration, and list recordings |
rebuild_graph, tune_graph | Rebuild a graph, or refine it with your model |
graph_review, graph_apply | The connected agent curates the graph, with no Chronicle model |
search, fetch | The interface that ChatGPT connectors and deep research expect |
The server also has resources, such as chronicle://context/current, and two prompts: use_my_computer_context(task) and learn_from_recording(session_id). The MCP reference lists them all.
chronicle serve runs the app at http://127.0.0.1:3030:
| Page | What it does |
|---|---|
| Knowledge | Shows the graph of all your history, a chat, and your recordings. The chat can propose something to build, and builds nothing until you press its button |
| Harnesses | Builds a harness in five steps, then edits it by hand or by chat |
| Contexts | Holds general guidance for one kind of session |
| Workflows | Holds short procedures for one job |
| Integrations | Connects MCP clients and exports files |
| Privacy & Sources | Controls what Chronicle reads besides recordings |
| Settings | Controls capture, retention, and models |
The REST API has interactive documentation at http://127.0.0.1:3030/docs. The CLI reference and REST reference list every command and route. The CLI has no harness commands.
| Variable | Default | Meaning |
|---|---|---|
CHRONICLE_HOME | ~/.chronicle | Database, screenshots, and lock file |
CHRONICLE_HOST, CHRONICLE_PORT | 127.0.0.1, 3030 | Where chronicle serve listens |
CHRONICLE_TOKEN | Unset | Require this token on the HTTP API and MCP |
CHRONICLE_PUBLIC_URL | http://127.0.0.1:3030 | Base URL for links and remote client snippets |
CHRONICLE_DEMO=1 | Off | Load the sample workday into an empty database on start |
CHRONICLE_DISABLE_CAPTURE=1 | Off | Never record from this process |
CHRONICLE_HALF_LIFE_HOURS | 72 | How fast older recordings count less in All history. 0 or off disables it |
CHRONICLE_LLM | Unset | openai, anthropic, gemini, openrouter, local, or off |
CHRONICLE_LLM_MODEL | Provider default | Model for the provider named by CHRONICLE_LLM |
CHRONICLE_LLM_BASE_URL | http://localhost:11434/v1 | Endpoint for the local provider |
Chronicle reads these variables when a process starts. Settings in the app holds capture interval, idle threshold, screenshots, OCR, clipboard, redaction, and retention.
A model is optional. Open Settings › Model, add a key, and press Use.
| Provider | Default model | Key from the environment |
|---|---|---|
| OpenAI | gpt-4.1-mini | OPENAI_API_KEY |
| Anthropic | claude-sonnet-5-5 | ANTHROPIC_API_KEY |
| Google Gemini | gemini-2.5-flash | GEMINI_API_KEY |
| OpenRouter | openai/gpt-4.1-mini | OPENROUTER_API_KEY |
| Local (Ollama, LM Studio) | You choose | Not needed |
A key can also be in a .env file in ~/.chronicle or the current directory. A .env file never overrides a variable that is already set. Your choice in Settings overrides CHRONICLE_LLM, except CHRONICLE_LLM=off, which turns models off whatever Settings says.
Workflows, harness chat, and context file names use tool calls, so choose a model that supports them. Small local models often fail at these tasks.
Recordings, screenshots, source items, and graphs stay in ~/.chronicle. Data leaves your computer in these cases:
Redaction applies to text only. Screenshots keep whatever was on screen. [PRIVACY.md](https://github.com/aniketxdey/chronicle/blob/main/PRIVACY
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요