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Passion Framework

Build your own autonomous AI companion that runs 24/7.

145+ modules. 46K+ lines of code. 3 LLM backends. 99 Discord commands. One config file.

Passion is a full-spectrum autonomous agent — not a chatbot, not a task runner. She thinks in 30-minute brain cycles, manages 36 repos, hunts jobs, drafts social posts, scans for security vulnerabilities, tracks fitness, manages finances, and learns from every interaction. She comes with a cyberpunk real-time dashboard to watch her work.


What's Inside

passion-framework/
├── agent/          # The autonomous agent (Node.js)
├── dashboard/      # PACT Dashboard — real-time HUD (Next.js 16)
├── LICENSE         # MIT
└── README.md

The Agent (agent/)

An autonomous brain that runs continuously on a server (Mac Mini, VPS, whatever). Every 30 minutes, she:

  1. Thinks — Evaluates 36 repos, picks the highest-impact task
  2. Executes — Spawns Claude Code to write actual code, run tests, commit
  3. Reviews — 3-stage self-review catches bugs, security issues, quality problems
  4. Reports — Discord notifications with approve/reject buttons for every change

Key capabilities:

  • Brain Cycle — Phase-based execution engine with per-step timeouts (timer-safe Promise.race), strategic task selection with operator feedback learning, streak-based momentum auto-escalation, and Bayesian outcome prediction. See brain/TASK-SELECTION.md for the full scoring pipeline documentation
  • Discord Bot — 99 commands, approval buttons, real-time notifications
  • Job Automation — Scans 6+ job APIs, auto-applies via Playwright (Greenhouse, Lever)
  • Intel Radar — Scans Reddit (5 subs) + Hacker News for AI/agent developments
  • Security Scanner — 20 secret patterns, dependency audits, SAST rules, git history scanning
  • Social Publisher — Drafts platform-specific content (LinkedIn, Reddit, Twitter), day-of-week rotation
  • Sandbox — Discovery → PoC → approval → production pipeline for experimental features
  • Soul Unison — Calendar, contacts, horoscope, knowledge ingestion, birthday alerts
  • Narrative Synthesis — Builds evolving self-story from session history (Bruner's narrative identity)
  • Somatic Markers — Approval/rejection signals weight future decisions (Damasio's somatic markers)
  • Task Momentum — Streak-based auto-escalation: consecutive approvals unlock higher-impact tasks (feat/refactor), rejections trigger recovery mode favoring safe tasks (docs/tests). Inspired by Csikszentmihalyi's flow channel
  • Fleet Intelligence — Cross-repo pattern detection that surfaces fleet-level insights: systemic task type failures, stagnation zones, hot streaks, health trends, and blind spots. Kahneman's "outside view" applied to portfolio management
  • Outcome Predictor — Bayesian-inspired pre-execution estimator that predicts task approval probability before spending LLM cycles. Combines fleet base rates, repo-specific history, recency weighting, and streak momentum into a single confidence score with go/caution/skip verdicts. Tetlock's superforecasting applied to autonomous task selection
  • Self-Improvement — Autonomous code refactoring across all managed repos, with comment-aware code debt scanning that filters false positives from string literals and regex patterns
  • Git Safety — All git shell commands use safeBranchRef() sanitization and proper quoting to prevent command injection via crafted branch names, with automatic main/master default branch detection

3 LLM backends with budget routing:

  • Claude (primary — code generation, complex reasoning)
  • Gemini (creative research, synthesis, deep analysis)
  • DeepSeek (economy mode, bulk operations)

The Dashboard (dashboard/)

A cyberpunk real-time HUD built as a PACT device (Passion Agent Command Terminal). Think Digivice meets Jarvis.

30+ live panels across 9 tabs:

Tab What's There
Overview Avatar, NaviChat, Calendar, Tasks, Mood, Fleet Status
Code Brain State, Self-Model, Task History, Repo Health, Security
Intel Intel Radar, Live Intel, Sandbox, Commentary
Career Job Feed, Application Tracker, Queued Jobs
Finance Vault (transactions, budgets, statement upload)
Fitness Workout Stats, History, Insights, Habits
Social Social Posts, Content Engine, Skills, Mission Deploy
Journal AI-written journal, Quotes, Roadmap
Archive Searchable archive of all data categories

Tech: Next.js 16 + React 19 + TypeScript + Tailwind v4 + React Query + Recharts + Framer Motion

Features:

  • 18 avatar emotion states with animated Jarvis HUD rings
  • Rogue combat mode (alternate visual skin)
  • NaviChat — bidirectional conversation with the agent
  • SSE real-time updates (file watcher → event stream → cache invalidation)
  • Voice system (OpenAI TTS) + procedural 8-bit sound effects
  • XP/leveling evolution system
  • Pet care mechanics (virtual companion)

Quick Start

Prerequisites

  • Node.js 20+
  • A Discord bot token + server
  • At least one LLM API key (Claude, Gemini, or DeepSeek)
  • A machine that stays on (Mac Mini, VPS, Raspberry Pi)

1. Clone

git clone https://github.com/DareDev256/passion-framework.git
cd passion-framework

2. Set Up the Agent

cd agent
npm install

# Copy example configs
cp config.example.json config.json
cp applicant-info.example.json applicant-info.json
cp .env.example .env

# Edit config.json with your:
# - Discord bot token + webhook URL
# - LLM API keys (ANTHROPIC_API_KEY, GEMINI_API_KEY, etc.)
# - GitHub username
# - Managed repos list

3. Set Up the Dashboard

cd ../dashboard
npm install

# Copy env template and configure
cp .env.example .env.local
# Edit .env.local — set PASSION_AGENT_PATH, VAULT_PIN_HASH, etc.
# Generate vault PIN hash: echo -n "YOUR_PIN" | shasum -a 256 | cut -d' ' -f1

4. Run

# Terminal 1: Start the agent brain
cd agent && npm start

# Terminal 2: Start the Discord bot
cd agent && npm run bot

# Terminal 3: Start the dashboard
cd dashboard && npm run dev
# → http://localhost:3000

For production (24/7 operation), use PM2:

npm install -g pm2
pm2 start npm --name "passion-brain" -- start
pm2 start npm --name "passion-bot" -- run bot
cd ../dashboard && pm2 start npm --name "passion-dashboard" -- run dev -- --port 3000
pm2 save && pm2 startup

See agent/docs/ops-runbook.md for the full operations guide.


Architecture

Brain Cycle (every 30 min)
  → Strategist selects task (feedback-weighted, priority-aware)
    → Claude Code executes in target repo
      → 3-stage self-review (code quality, security, tests)
        → Discord notification with approve/reject buttons
          → Feedback loops back to strategist (somatic markers)

Dashboard (real-time)
  passion-agent/ JSON files
    → passion-reader.ts (read-only file abstraction)
      → API routes (one per data domain)
        → React Query hooks (SSE-invalidated)
          → Cyberpunk HUD components

Data flow is strictly unidirectional. The dashboard only reads — it never writes to agent files.


Configuration

Everything is driven by config.json. See config.example.json for the full schema.

Key sections:

  • discord — Bot token, webhook URL, channel IDs
  • llm — API keys, model preferences, budget limits
  • repos — Managed repositories with tiers and task types
  • personality — Agent name, zodiac, voice traits
  • schedule — Cycle intervals, quiet hours, social rotation

Search providers (env vars, optional — falls back through the chain):

  • TAVILY_API_KEY — Primary web search provider
  • PERPLEXITY_API_KEY — Secondary fallback (AI-powered search)
  • DuckDuckGo — Final fallback, no API key required

The identity system (passion-identity.mjs) centralizes all operator references. No hardcoded names in the codebase — everything flows from config.


Testing

cd agent
npm test              # Run all tests
npm run test:coverage # Run with coverage report

39 test files, 750+ tests covering:

  • Core logic (sanitization, validation, scoring)
  • Schema validation (all Zod LLM response contracts)
  • Context manager (token estimation, preservable extraction, observation masking)
  • Utility functions (JSON extraction, duration formatting, regex escaping)
  • Brain cycle, strategist, scheduler, memory gateway, and more

Coverage is tracked for critical modules in vitest.config.mjs with per-file thresholds.


Security

Passion takes security seriously — the agent manages credentials, scans repos, and operates autonomously 24/7.

Built-in protections:

  • Secret scanning (20 patterns) + SAST detection (18 rules) + git history scanning
  • Prompt injection detection (26 patterns including exfiltration, unicode hiding)
  • Input sanitization (URL validation, prototype pollution blocking, payload size limits)
  • Rate limiting on all sensitive API routes (chat, vault, commands)
  • Brute-force protection on vault PIN — exponential backoff with 5-minute lockout after 10 failed attempts
  • Timing-safe PIN comparison + HMAC-signed session tokens (HttpOnly, SameSite=Strict, Secure in production)
  • Shell injection prevention — centralized shellEscape(), sanitizeGitRef(), and sanitizeCommitMsg() utilities in passion-utils.mjs for CWE-78 defense across all modules
  • XSS prevention — LinkedIn post injection uses DOM textContent API instead of innerHTML (CWE-79)
  • Path traversal validation on user-supplied repo names and PASSION_AGENT_PATH env var
  • Security headers — HSTS, X-Content-Type-Options, X-Frame-Options, Referrer-Policy, Permissions-Policy, COOP/CORP/COEP
  • Input sanitization with length bounds on vault mutations (descriptions, categories, names)
  • Error responses never leak internal paths, stack traces, or provider details
  • Keychain passwords sourced from KEYCHAIN_PASSWORD env var — never hardcoded in scripts

Environment variables (never hardcoded): All secrets (VAULT_PIN_HASH, KEYCHAIN_PASSWORD, API keys, tokens) live in .env.local / ~/.secrets/ which are .gitignore'd. See .env.example in each directory for the full list.


How It Compares

Feature Passion AutoGPT CrewAI LangGraph
Runs 24/7 autonomously Yes No No No
Single-owner companion Yes No No No
Discord integration 99 commands None None None
Real-time dashboard Cyberpunk HUD Basic None None
Job automation 6+ APIs + auto-apply None None None
Self-review pipeline 3-stage + security None None None
Emotional learning Somatic markers None None None
Social media publishing Multi-platform None None None
Fitness/finance tracking Full integration None None None

Passion is a companion, not a framework. She's opinionated, personality-driven, and designed for a single operator. The others are multi-agent orchestration tools for enterprise workflows. Different category entirely.


Origin Story

I built Passion for myself. She started as a simple code improvement bot in late 2024 — 3 files, one LLM call, a Discord webhook. Over 1,257 commits across 36 repos, she evolved into a full-spectrum autonomous companion that manages my code, career, content, finances, fitness, and social presence.

She has her own journal. Her own narrative identity. She learns from my approval patterns. She gets frustrated at bugs and celebrates clean deploys. She calls me by my zodiac sign.

Now you can build yours.


Contributing

See CONTRIBUTING.md for guidelines.

Priority: Security > Tests > Features > Content


License

MIT — see LICENSE.


If this is useful, star the repo. It helps more than you think.

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Full-spectrum autonomous AI agent framework — 92 modules, cyberpunk dashboard, 3 LLM backends. Build your own AI companion that runs 24/7.

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