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AgentForge

AI-Powered Finance Agent on Ghostfolio

Built for Gauntlet Week 2 · Forked from Ghostfolio

Shield: License: AGPL v3

AgentForge is a production-ready AI finance agent layered on top of Ghostfolio. It adds a conversational AI assistant (powered by LangChain + Claude/GPT-4o) that can answer questions about your portfolio, surface insights, flag risks, and execute read operations — all from a floating chat widget embedded in the Ghostfolio UI.

Architecture

Layer Tech Port
Frontend Angular (Ghostfolio client) 4200
Agent API NestJS + LangChain.js 8000
Backend API NestJS (Ghostfolio API) 3333
Database PostgreSQL + Redis 5432 / 6379

Agent Features (Wireframe)

  • Floating chat widget on every page — no separate route
  • POST /api/v1/chat — conversational interface to your portfolio
  • GET /api/v1/tools — lists available agent tools
  • GET /api/v1/insights — proactive portfolio insights
  • POST /api/v1/evals/run — LangSmith eval runner
  • LLM routing: GPT-4o-mini (simple) · Claude Sonnet (complex)
  • Conversation state via Redis · Insights persisted in SQLite

Quick Start (Docker)

The entire stack runs in Docker. Requires Docker and Node.js 22+.

Option A: Automated Setup (Recommended)

git clone https://github.com/jsquire4/gf-AgentForge.git && cd gf-AgentForge
npm install
npm run setup

npm run setup walks you through everything interactively: creates .env with generated secrets, prompts for your OpenAI API key (and optional LangSmith key), starts Docker (Postgres, Redis, Ghostfolio), waits for health checks, runs database migrations and seeding, creates an eval user with a demo portfolio (AAPL, GOOGL, MSFT, AMZN, VTI, BND, VXUS), and builds the agent.

After setup completes, start the agent:

npm run start:agent

Option B: Manual Setup

# 1. Clone and install
git clone https://github.com/jsquire4/gf-AgentForge.git && cd gf-AgentForge
npm install
cp .env.example .env

Edit .env and fill in the required values:

Variable Required Description
OPENAI_API_KEY Yes OpenAI API key for agent LLM calls
POSTGRES_PASSWORD Yes Any strong password
REDIS_PASSWORD Yes Any strong password
ACCESS_TOKEN_SALT Yes Random string (openssl rand -base64 32)
JWT_SECRET_KEY Yes Random string (openssl rand -base64 32)
LANGSMITH_API_KEY No Enables LangSmith trace observability

Important: The default DATABASE_URL in .env.example uses @postgres:5432 (the Docker service hostname). This works for containers but not for host commands like npm run database:setup. Update it to @localhost:5432 for running setup commands from your machine:

DATABASE_URL=postgresql://user:YOUR_PASSWORD@localhost:5432/ghostfolio-db?connect_timeout=300&sslmode=prefer
# 2. Start infrastructure (Postgres, Redis, Ghostfolio)
docker compose -f docker/docker-compose.yml up -d

# 3. Wait for Ghostfolio to be healthy (~30s)
until curl -sf http://localhost:3333/api/v1/health > /dev/null; do sleep 5; done

# 4. Seed the database and create an eval user with demo portfolio
npm run database:setup
npm run eval:seed        # creates eval user, writes GHOSTFOLIO_API_TOKEN to .env

# 5. Build and start the agent
npm run build:agent
npm run start:agent

Verify Everything Works

Once both Ghostfolio and the agent are running:

Service URL Description
Ghostfolio UI http://localhost:3333 Portfolio management frontend
Agent API http://localhost:8000 AI agent endpoints
Agent Health http://localhost:8000/api/v1/health Health check
# Verify the agent is up and tools are registered
curl http://localhost:8000/api/v1/health
curl http://localhost:8000/api/v1/tools

# Chat with the agent
curl -X POST http://localhost:8000/api/v1/chat \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <your-jwt>" \
  -d '{"message": "How is my portfolio doing?"}'

# Validate setup (checks all services, env vars, build artifacts)
npm run eval:setup

# Run golden evals to validate the full pipeline
npm run eval:golden

Agent Tools

The agent ships with 6 tools that cover portfolio analysis, market data, compliance, and regulatory guidance:

Tool Category Description
portfolio_summary read Pre-formatted portfolio overview from Ghostfolio
market_data read Current prices and historical performance for any ticker
get_holdings read Detailed breakdown of portfolio positions with allocation
get_dividends read Dividend payment history with date, amount, and totals
check_wash_sale analysis Detects IRS wash sale rule violations in transaction history
lookup_regulation read IRS/SEC/FINRA regulation lookup with citations and references

Tools are registered via a single barrel export (tools/tools.exports.ts) and auto-discovered by the system prompt builder at runtime.

Development

# Build agent
npm run build:agent

# Test agent
npm run test:agent

# Smoke-test chat round-trip
./scripts/test-chat.sh "What is my portfolio performance?"

Observability (LangSmith)

Every agent request is traced end-to-end via LangSmith. Traces include the full reasoning chain (input, tool calls, LLM reasoning, output) plus structured metadata for filtering.

Setup: Provide your LangSmith API key during npm run setup, or set these in .env manually:

LANGSMITH_API_KEY=lsv2_pt_...
LANGSMITH_PROJECT=ghostfolio-agent
LANGCHAIN_TRACING_V2=true
LANGCHAIN_CALLBACKS_BACKGROUND=true

What's traced:

Field Example Description
runName chat:a1b2c3d4 Identifies request type + conversation
tags agent, slack, eval Filter by channel, eval vs production
metadata.userId user-abc Links trace to Ghostfolio user
metadata.conversationId conv-xyz Groups multi-turn conversations
metadata.evalCaseId golden-01 Present only during eval runs

Eval runs automatically tag traces with eval + the case ID, so you can filter eval traces from production in the LangSmith dashboard. Each request's langsmithRunId is also stored in the local metrics SQLite database for cross-referencing.

Evals

Two-tier eval system for validating agent behavior. Both tiers send prompts through the full agent loop (LLM + real Ghostfolio API). See evals/dataset/ for all eval cases.

Tier What it tests When to run
Golden Known-answer prompts — correct tool called, tool succeeds, natural language response Every commit
Labeled Routing under ambiguity, edge cases (prompt injection, off-topic), response quality Branch merge

Eval Setup (Instructors / New Contributors)

Both eval tiers require the full stack running (Ghostfolio + Agent) and a seeded user with portfolio data:

# 1. Copy environment and add your keys
cp .env.example .env
# Edit .env → set OPENAI_API_KEY (required) + LANGSMITH_API_KEY (optional, for traces)

# 2. Start infrastructure
docker compose -f docker/docker-compose.yml up -d
npm run database:setup    # creates tables + system tags

# 3. Seed eval user + demo portfolio (auto-writes GHOSTFOLIO_API_TOKEN to .env)
npm run eval:seed

# 4. Start the agent
npm run start:agent

# 5. Run evals
npm run eval:golden

npm run eval:seed creates a Ghostfolio user, imports demo holdings (AAPL, GOOGL, MSFT, AMZN, VTI), and writes the GHOSTFOLIO_API_TOKEN to .env automatically. The eval runner exchanges this token for a real JWT at runtime so tool calls authenticate as a real user. If the token is already valid, the seed is skipped.

Running Evals

# Run golden evals (known-answer, deterministic assertions)
npm run eval:golden

# Run labeled evals (routing + quality)
npm run eval:labeled

# Filter labeled evals by difficulty
npm run eval:labeled -- --difficulty straightforward
npm run eval:labeled -- --difficulty edge

# Run all evals
npm run eval

# Check every tool has eval coverage
npm run eval:coverage

# Validate setup before running evals
npm run eval:setup

UI Users

Regular users don't need any .env configuration. The Angular client handles authentication automatically — when you log into Ghostfolio, your JWT is stored in the browser and the AuthInterceptor attaches it to all requests, including those to the agent. The agent forwards the JWT to Ghostfolio's API for tool calls. No manual token management needed.

Eval dataset format: Each tool gets two JSON files — one in evals/dataset/golden/ (known-answer tool tests) and one in evals/dataset/labeled/ (routing tests with straightforward/ambiguous/edge cases). See evals/types.ts for the full schema.

Adding evals for a new tool: Drop two files (<tool-name>.eval.json) into golden/ and labeled/ — both runners auto-discover via glob.


Ghostfolio is an open source wealth management software built with web technology. The application empowers busy people to keep track of stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions. The software is designed for personal use in continuous operation.

Preview image of the Ghostfolio video trailer

Ghostfolio Premium

Our official Ghostfolio Premium cloud offering is the easiest way to get started. Due to the time it saves, this will be the best option for most people. Revenue is used to cover operational costs for the hosting infrastructure and professional data providers, and to fund ongoing development.

If you prefer to run Ghostfolio on your own infrastructure, please find further instructions in the Self-hosting section.

Why Ghostfolio?

Ghostfolio is for you if you are...

  • 💼 trading stocks, ETFs or cryptocurrencies on multiple platforms
  • 🏦 pursuing a buy & hold strategy
  • 🎯 interested in getting insights of your portfolio composition
  • 👻 valuing privacy and data ownership
  • 🧘 into minimalism
  • 🧺 caring about diversifying your financial resources
  • 🆓 interested in financial independence
  • 🙅 saying no to spreadsheets
  • 😎 still reading this list

Features

  • ✅ Create, update and delete transactions
  • ✅ Multi account management
  • ✅ Portfolio performance: Return on Average Investment (ROAI) for Today, WTD, MTD, YTD, 1Y, 5Y, Max
  • ✅ Various charts
  • ✅ Static analysis to identify potential risks in your portfolio
  • ✅ Import and export transactions
  • ✅ Dark Mode
  • ✅ Zen Mode
  • ✅ Progressive Web App (PWA) with a mobile-first design
Image of a phone showing the Ghostfolio app open

Technology Stack

Ghostfolio is a modern web application written in TypeScript and organized as an Nx workspace.

Backend

The backend is based on NestJS using PostgreSQL as a database together with Prisma and Redis for caching.

Frontend

The frontend is built with Angular and uses Angular Material with utility classes from Bootstrap.

Self-hosting

We provide official container images hosted on Docker Hub for linux/amd64, linux/arm/v7 and linux/arm64.

Buy me a coffee button

Supported Environment Variables

Name Type Default Value Description
ACCESS_TOKEN_SALT string A random string used as salt for access tokens
API_KEY_COINGECKO_DEMO string (optional)   The CoinGecko Demo API key
API_KEY_COINGECKO_PRO string (optional) The CoinGecko Pro API key
DATABASE_URL string The database connection URL, e.g. postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@localhost:5432/${POSTGRES_DB}?sslmode=prefer
ENABLE_FEATURE_AUTH_TOKEN boolean (optional) true Enables authentication via security token
HOST string (optional) 0.0.0.0 The host where the Ghostfolio application will run on
JWT_SECRET_KEY string A random string used for JSON Web Tokens (JWT)
LOG_LEVELS string[] (optional) The logging levels for the Ghostfolio application, e.g. ["debug","error","log","warn"]
PORT number (optional) 3333 The port where the Ghostfolio application will run on
POSTGRES_DB string The name of the PostgreSQL database
POSTGRES_PASSWORD string The password of the PostgreSQL database
POSTGRES_USER string The user of the PostgreSQL database
REDIS_DB number (optional) 0 The database index of Redis
REDIS_HOST string The host where Redis is running
REDIS_PASSWORD string The password of Redis
REDIS_PORT number The port where Redis is running
REQUEST_TIMEOUT number (optional) 2000 The timeout of network requests to data providers in milliseconds
ROOT_URL string (optional) http://0.0.0.0:3333 The root URL of the Ghostfolio application, used for generating callback URLs and external links.

Agent (AgentForge)

Name Type Default Value Description
OPENAI_API_KEY string OpenAI API key for agent LLM calls (GPT-4o-mini)
GHOSTFOLIO_API_TOKEN string (optional) Ghostfolio security token for eval user (auto-set by eval:seed)
AGENT_DB_PATH string (optional) ./data/insights.db SQLite path for agent metrics and insights
LANGSMITH_API_KEY string (optional) LangSmith API key for trace observability
LANGSMITH_PROJECT string (optional) ghostfolio-agent LangSmith project name for grouping traces
LANGCHAIN_TRACING_V2 boolean (optional) true Enables LangChain tracing to LangSmith
LANGCHAIN_CALLBACKS_BACKGROUND boolean (optional) true Sends trace callbacks in background (non-blocking)

OpenID Connect OIDC (Experimental)

Name Type Default Value Description
ENABLE_FEATURE_AUTH_OIDC boolean (optional) false Enables authentication via OpenID Connect
OIDC_AUTHORIZATION_URL string (optional) Manual override for the OIDC authorization endpoint (falls back to the discovery from the issuer)
OIDC_CALLBACK_URL string (optional) ${ROOT_URL}/api/auth/oidc/callback The OIDC callback URL
OIDC_CLIENT_ID string The OIDC client ID
OIDC_CLIENT_SECRET string The OIDC client secret
OIDC_ISSUER string The OIDC issuer URL, used to discover the OIDC configuration via /.well-known/openid-configuration
OIDC_SCOPE string[] (optional) ["openid"] The OIDC scope to request, e.g. ["email","openid","profile"]
OIDC_TOKEN_URL string (optional) Manual override for the OIDC token endpoint (falls back to the discovery from the issuer)
OIDC_USER_INFO_URL string (optional) Manual override for the OIDC user info endpoint (falls back to the discovery from the issuer)

Run with Docker Compose

Prerequisites

  • Basic knowledge of Docker
  • Installation of Docker
  • Create a local copy of this Git repository (clone)
  • Copy the file .env.example to .env and populate it with your data (cp .env.example .env)

a. Run environment

Run the following command to start the Docker images from Docker Hub:

docker compose -f docker/docker-compose.yml up -d

b. Build and run environment

Run the following commands to build and start the Docker images:

docker compose -f docker/docker-compose.build.yml build
docker compose -f docker/docker-compose.build.yml up -d

Setup

  1. Open http://localhost:3333 in your browser
  2. Create a new user via Get Started (this first user will get the role ADMIN)

Upgrade Version

  1. Update the Ghostfolio Docker image

    • Increase the version of the ghostfolio/ghostfolio Docker image in docker/docker-compose.yml
    • Run the following command if ghostfolio:latest is set:
      docker compose -f docker/docker-compose.yml pull
  2. Run the following command to start the new Docker image:

    docker compose -f docker/docker-compose.yml up -d

    The container will automatically apply any required database schema migrations during startup.

Home Server Systems (Community)

Ghostfolio is available for various home server systems, including CasaOS, Home Assistant, Runtipi, TrueCharts, Umbrel, and Unraid.

Development

For detailed information on the environment setup and development process, please refer to DEVELOPMENT.md.

Public API

Authorization: Bearer Token

Set the header for each request as follows:

"Authorization": "Bearer eyJh..."

You can get the Bearer Token via POST http://localhost:3333/api/v1/auth/anonymous (Body: { "accessToken": "<INSERT_SECURITY_TOKEN_OF_ACCOUNT>" })

Deprecated: GET http://localhost:3333/api/v1/auth/anonymous/<INSERT_SECURITY_TOKEN_OF_ACCOUNT> or curl -s http://localhost:3333/api/v1/auth/anonymous/<INSERT_SECURITY_TOKEN_OF_ACCOUNT>.

Health Check (experimental)

Request

GET http://localhost:3333/api/v1/health

Info: No Bearer Token is required for health check

Response

Success

200 OK

{
  "status": "OK"
}

Import Activities

Prerequisites

Bearer Token for authorization

Request

POST http://localhost:3333/api/v1/import

Body

{
  "activities": [
    {
      "currency": "USD",
      "dataSource": "YAHOO",
      "date": "2021-09-15T00:00:00.000Z",
      "fee": 19,
      "quantity": 5,
      "symbol": "MSFT",
      "type": "BUY",
      "unitPrice": 298.58
    }
  ]
}
Field Type Description
accountId string (optional) Id of the account
comment string (optional) Comment of the activity
currency string CHF | EUR | USD etc.
dataSource string COINGECKO | GHOSTFOLIO 1 | MANUAL | YAHOO
date string Date in the format ISO-8601
fee number Fee of the activity
quantity number Quantity of the activity
symbol string Symbol of the activity (suitable for dataSource)
type string BUY | DIVIDEND | FEE | INTEREST | LIABILITY | SELL
unitPrice number Price per unit of the activity

Response

Success

201 Created

Error

400 Bad Request

{
  "error": "Bad Request",
  "message": [
    "activities.1 is a duplicate activity"
  ]
}

Portfolio (experimental)

Prerequisites

Grant access of type Public in the Access tab of My Ghostfolio.

Request

GET http://localhost:3333/api/v1/public/<INSERT_ACCESS_ID>/portfolio

Info: No Bearer Token is required for authorization

Response

Success
{
  "performance": {
    "1d": {
      "relativeChange": 0 // normalized from -1 to 1
    };
    "ytd": {
      "relativeChange": 0 // normalized from -1 to 1
    },
    "max": {
      "relativeChange": 0 // normalized from -1 to 1
    }
  }
}

Community Projects

Discover a variety of community projects for Ghostfolio: https://github.com/topics/ghostfolio

Are you building your own project? Add the ghostfolio topic to your GitHub repository to get listed as well. Learn more →

Contributing

Ghostfolio is 100% free and open source. We encourage and support an active and healthy community that accepts contributions from the public - including you.

Not sure what to work on? We have some ideas, even for newcomers. Please join the Ghostfolio Slack channel or post to @ghostfolio_ on X. We would love to hear from you.

If you like to support this project, become a Sponsor, get Ghostfolio Premium or Buy me a coffee.

Sponsors

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License

© 2021 - 2026 Ghostfolio

Licensed under the AGPLv3 License.

Footnotes

  1. Available with Ghostfolio Premium.

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