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Cortex — Autonomous Project Owner

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Cortex is an autonomous agent system for long-running projects. You give it a mission with a success criterion, and it plans the work, dispatches a pipeline of agents to execute it, keeps a structured log of progress in your repo, and reviews itself before each commit — across days or weeks of unattended work.

Cortex is designed around four failure modes of long agent runs. Context rot — durable project state lives as plain files in your repo, not chat history that accumulates and decays. Execution drift — every task carries a verifiable success criterion, checked at completion. Context window limits — work is partitioned across agent pipelines, each with bounded scope and fresh context. Single-perspective bias — adversarial review is a built-in pipeline stage, not a polite suggestion.

Features

  • Mission-driven task system — hand off a goal; Cortex decomposes it into tracked tasks with priorities, dependencies, and verifiable done-conditions, works through them autonomously, and stops to ask only when blocked. You stop maintaining the todo list. See docs/tasks.md.

  • Multi-agent thread pipelines — long jobs run as a relay of focused agents instead of one overloaded session. Each step starts with a clean context and a narrow scope, so the model never loses the plot mid-task. Handoffs carry only what the next stage needs. See docs/threads.md.

  • Structured project log — every project keeps mission, roadmap, status, experiments, knowledge, patterns, and decisions as plain files in your repo. A fresh agent (or a fresh you, weeks later) can pick up where the last one left off — no chat history to scroll, no vector store to query. See docs/memory.md.

  • Cron and interval scheduling — schedule Cortex to scan a domain every morning, ship a weekly digest, or sweep an inbox every few minutes. Schedules persist across restarts and hot-reload without downtime. See docs/scheduling.md.

  • Self-evolving skills — when Cortex catches itself doing the same thing a third time, it drafts a new skill, you approve, and future runs use it automatically. The longer Cortex runs, the more your patterns become first-class behavior. See docs/skills-and-plugins.md.

  • One agent across your machines — your compute, documents, code, and tools rarely live on one box. Connect any Mac, Windows, or Linux machine as a remote host via cortex-client, and Cortex can read, write, and execute across all of them from a single control plane. See docs/cross-machine.md.

  • Backend agnostic — runs on Claude Code or PI today, with adapter abstraction for additional coding agents. Use the LLM subscription you already pay for — no extra API key, no second bill.

  • Use Cortex from the Web, native apps, chat, or a terminal — open the browser workbench, install the Linux/macOS/Windows desktop app or Android app, message Cortex through Slack or Feishu, or use the TUI. Every interface reaches the same projects, sessions, tasks, and memory. See Browser Access and Desktop and Android Apps.

Quickstart

Requirements: Node 20+ and an installed coding agent backend (Claude Code or PI).

# Install
npm install -g @cortex-agent/server

# Initialize (guided setup)
cortex init

# Start
cortex daemon

Once running, use Slack or Feishu, open the browser workbench, or connect a native app. Every interface reads the same project context and dispatches work through the same server. Browser deployment is covered in Browser Access; native installation is covered in Desktop and Android Apps.

For a detailed step-by-step guide covering setup wizard prompts, what files are created, and how to send your first message, see docs/quickstart.md.

How a project looks

Each project lives under .cortex/context/projects/<name>/ with a predictable layout:

projects/my-project/
├── mission.md           # Goal and success criteria
├── roadmap.md           # Milestones and timeline
├── STATUS.md            # Current state (overwrite)
├── ISSUES.md            # Open friction points (append)
├── TASKS.yaml           # Machine-readable task queue
├── decisions/           # DR-NNNN.md design decisions (append)
├── experiments/         # EXP-NNN.md atomic experiment records
├── knowledge/           # K-NNN.md atomic knowledge entries
├── patterns/            # PAT-NNN.md cross-experiment patterns
└── tasks-archive.md     # Completed tasks (auto-archived)

This is the project log. It survives sessions, restarts, and model upgrades. A fresh agent can resume work from here without the previous conversation.

Safety boundaries

Cortex classifies operations by blast radius. The harness enforces this at the tool-call layer.

Class Examples
Autonomous read files, run small scripts, edit context files, web search, in-budget compute
Requires approval modify CLAUDE.md rules, add new skills, change agent-server behavior, over-budget compute, delete data
Forbidden system-level package install, system config changes, rm -rf

The approval queue lives at .cortex/context/PENDING_APPROVALS.md. Configure additional rules in .claude/settings.json.

Configuration

All configuration lives under $CORTEX_HOME/config/. Only CORTEX_PLATFORM and your platform credentials (Slack tokens) are required. Run cortex init for guided setup. The full environment variable reference, file layout, and precedence rules are in docs/configuration.md.

Docs

Doc What it covers
Quickstart Install, init, and first Slack message in 5 minutes
Desktop & Android Apps Native installation, connection, downloads, and updates
Browser Access Web workbench authentication and deployment
Slack Setup App creation, token collection, Socket Mode, scopes
Configuration Full .env and config/settings.json reference, profiles.json, file layout, hot-reload
CLI Reference cortex, cortex-task, cortex-run — every subcommand and flag
Backends Claude Code vs PI, feature matrix, fallback, cost reporting
Architecture Server layers, WS protocol, event bus
Threads Multi-agent pipelines, templates, transitions, hooks
Tasks TASKS.yaml format, lifecycle, dispatch, cortex-run watchdog
Memory EXP/K/PAT atomized knowledge, project log governance
Skills & Plugins Skill authoring, plugin layout, third-party plugins
Scheduling Interval/daily/weekly/once schedules, preCheck, fallback
Safety & Approvals Blast-radius classes, approval workflow, audit trail
Hooks Hook lifecycle, hook-bridge, custom hooks in settings.json
MCP Privilege-scoped Cortex MCP servers, third-party MCP
Cross-machine cortex-client deployment, remote tools, network topology

Developing on Cortex

# Clone and install dependencies
git clone https://github.com/<your-org>/cortex
cd cortex/agent-server && npm install

# Build
npm run build

# Run tests
npm test

# Start in dev mode (hot-reload via .restart watcher)
npm run build && npm start

Architecture

Cortex's core workspace and plugin packages are:

Package Directory Role
@cortex-agent/server agent-server/ Control plane, chat adapters, task dispatch, scheduling, and thread orchestration
@cortex-agent/client client/ Remote worker that executes tools over the client WebSocket
@cortex-agent/web web/ Browser, desktop, and mobile workbench SPA
@cortex-agent/desktop desktop/ Tauri shell for Linux, macOS, Windows, and Android
@cortex-agent/ui-contract packages/ui-contract/ Shared typed contract between the server and workbench
@cortex-agent/deepseek-relay-worker packages/deepseek-relay-worker/ Authenticated Cloudflare Worker for DeepSeek API egress
Plugins plugins/ Role-scoped skills loaded by thread agents at runtime

The server is organized in six layers (src/): core utilities → persistence → event bus → domain logic → orchestration → entry points. Test coverage is mandatory for all code changes. See docs/architecture.md for the full architecture.

License

MIT

About

Autonomous agent system for long-running projects — mission-driven, multi-agent pipelines, self-evolving skills. Docs: https://fangxm233.github.io/cortex-agent/

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