Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Local screen and activity knowledge graph, served as context to computer-use agents.
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.
CHRONICLE_HOME, CHRONICLE_DISABLE_CAPTURENecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"chronicle": {
"command": "uvx",
"args": [
"chronicle-context",
"mcp"
],
"env": {
"CHRONICLE_HOME": "your-value",
"CHRONICLE_DISABLE_CAPTURE": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add chronicle --env CHRONICLE_HOME=your-value --env CHRONICLE_DISABLE_CAPTURE=your-value -- uvx chronicle-context mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"chronicle": {
"command": "uvx",
"args": [
"chronicle-context",
"mcp"
],
"env": {
"CHRONICLE_HOME": "your-value",
"CHRONICLE_DISABLE_CAPTURE": "your-value"
}
}
}
}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.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"chronicle": {
"type": "stdio",
"command": "uvx",
"args": [
"chronicle-context",
"mcp"
],
"env": {
"CHRONICLE_HOME": "your-value",
"CHRONICLE_DISABLE_CAPTURE": "your-value"
}
}
}
}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.
CHRONICLE_HOME envCHRONICLE_DISABLE_CAPTURE envEsta 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 aniketxdey, 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 (0.3.0) llegó al registro hace 3 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
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
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.
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.
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
Solo se muestra el principio; lee el resto en el repo