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Stoa

Stoa is a TypeScript framework that coordinates seven autonomous agents through a shared mesh, with 30 markdown-based skills for operations such as Solana monitoring, research, trading workflows, writing and repository maintenance.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Stoa — OpenViST project profile in Multi-Agent Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Stoa when you want to configure a coordinated agent swarm and are prepared to supply an LLM key and operate the workflows through GitHub Actions or the local CLI.

Who it is for

  • Developers exploring multi-agent systems for autonomous operations.
  • Builders configuring Solana monitoring and DeFi workflows.
  • Teams seeking a framework with research, content and repository-operations agents alongside trading-related roles.

Documented uses

  • Coordinate specialized agents that monitor Solana signals, analyze opportunities and pass validated trade signals to an executor.
  • Run multi-step skill chains and inspect agent state or inboxes through the CLI.
  • Add capabilities through markdown skill files referenced in agent configuration.
  • Use agents for research synthesis, content creation and repository health tasks.
Before you choose

Requirements & limits

The repository is public and identifies an MIT license. The README documents GitHub Actions and local CLI operation; it notes that LLM calls may incur costs.

  • The system is organized around seven roles: Scout, Analyst, Executor, Guardian, Researcher, Writer and Ops.
  • The README lists 30 skills and five multi-step chains with dependency graphs.
  • GitHub Actions operation stores state as Git commits; a local CLI path is also documented.
  • The README lists a Next.js monitoring dashboard, Telegram, Discord and Slack messaging, and Claude, OpenAI and Gemini provider support with failover.
  • Executor is described as reactive to validated trade signals; Guardian can halt the swarm.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Stoa with GitHub Actions

Prepare a forked Stoa repository to start its swarm on the next scheduled workflow run.

Before you start

  • A GitHub account and GitHub CLI, as used in the documented quick start.
  • An Anthropic API key.
  • Optional: Solana RPC URL and private key for Solana workflows.
  • Optional: Telegram bot token and chat ID to enable Telegram messaging.

Steps

  1. Create a private repository from the stoaaadev/stoa template.

  2. Set the ANTHROPIC_API_KEY repository secret.

  3. Enable the tick.yml, agent.yml and messages.yml workflows.

  4. If required, set Solana and Telegram secrets as appropriate.

Expected outcome

The README says the swarm starts on the next cron tick.

Guide limitations

  • LLM calls may incur costs.
  • The Solana RPC URL and private key are optional in the documented setup.
  • Messaging credentials are presented as optional for enabling messaging.
Documentation 1 ↗
Source-based practical guide

Run Stoa locally and inspect its workflows

Install the project and use its documented CLI commands to inspect or invoke agents, skills and chains.

Before you start

  • Node.js/npm environment suitable for the documented npm commands.
  • An Anthropic API key is listed in the project’s setup instructions.

Steps

  1. Run npm install in the repository.

  2. Use npx stoa status to check swarm state or npx stoa validate to validate configuration.

  3. Use npx stoa dispatch, npx stoa execute scout scan-tokens or npx stoa chain full-scan to invoke the documented dispatcher, skill or chain.

  4. Use npx stoa agents or npx stoa mesh scout to inspect agents or an agent inbox.

Expected outcome

The documented CLI provides commands for checking state, validating configuration, invoking workflows and inspecting the mesh.

Guide limitations

  • Solana actions may require the optional Solana credentials described in the setup.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
StoaCoordinate specialized agents that monitor Solana signals, analyze opportunities and pass validated trade signals to an executor.CLIThe repository is public and identifies an MIT license. The README documents GitHub Actions and local CLI operation; it notes that LLM calls may incur costs.
MassgenRun multiple AI agents against the same user task.CLIThe repository documents installation through pip or uv and requires Python 3.11 or later. Setup can configure API keys for OpenAI, Anthropic, Google and xAI; credentials are needed for the selected model backends.
Langchain Multi Agents BoilerplateRoute incoming football questions to model and agent workflows according to task complexity.WebThe repository is public and specifies an MIT license. Running the application requires OpenAI and Groq API keys and a Redis server.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
14 October 2026
Original website title
stoaaadev/stoa · Official homepage title · retained in its source language
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