LangAlpha documentation
Open-source AI agents that research the market, build the thesis, and trade your own brokerage account within the permissions you set. Hosted at langalpha.ai or on your own machine.
LangAlpha is a harness for AI agents that work on financial markets. You ask a question in a workspace, and an agent with its own computer reads filings, pulls market data, writes and runs code, and hands back a deliverable: a report, a workbook, a dashboard, or an order waiting for your approval. The workspace keeps the files, notes and memory, so the next session builds on the last.
Start here
Section titled “Start here”- What is LangAlpha: the product in one page.
- Hosted or self-hosted: what changes between langalpha.ai and your own install.
- Self-hosting quickstart:
make config, thenmake up. - How it fits together: users, computers, workspaces, threads and turns.
Questions people ask
Section titled “Questions people ask”- Chief of Staff or Analyst? Which agent should take a request.
- Automation or wakeup? Two ways to make the agent come back later.
- Memory, memo or scratchpad? Where a piece of context belongs.
- Skill, plugin or MCP server? What to build when you extend LangAlpha.
- Which computer should I use? Docker, Daytona, E2B or your own machine.
What you can do
Section titled “What you can do”- Write an initiation report with a team of research subagents.
- Prepare for earnings and update the model after the print.
- Build valuation models as real Excel workbooks.
- Watch a stock and act on a price move.
- Review your portfolio against your investing profile.
- Build dashboards and annotate charts.
- Get results in Slack and other chat apps.
Command line and API
Section titled “Command line and API”- The LangAlpha CLI:
langalpha, orlafor short, runs threads, workspaces, computers and automations from a terminal or a script. - Scripting recipes: start a thread and wait for the answer, follow a turn, schedule an automation, answer an approval.
- Using the CLI inside a computer: what the agent can do with the CLI on its own machine.
- HTTP API and Authentication: call LangAlpha from your own code.
For agents
Section titled “For agents”Every page is also served as Markdown at its URL plus .md (for example /concepts/computers.md). The whole site is indexed in /llms.txt, with the full text in /llms-full.txt.