tinyagi/tinyagi

TinyAGI is the agent teams orchestrator for One Person Company. (fka TinyClaw)

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Summary Information

Updated 29 seconds ago
Added to GitGenius on September 19th, 2026
Created on February 9th, 2026
Open Issues & Pull Requests: 75 (+0)
GitHub issues: Enabled
Number of forks: 507
Total Stargazers: 3,616 (+0)
Total Subscribers: 21 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.1 hours
Mean response time: 4.2 days
90th percentile: 22.3 days
Tracked items: 57

Most active contributors

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How this project is maintained

Roughly one issue in three opened in the past year never receives a reply. 85% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 80% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 50% of issues opened in the past year have been closed. Three people close 93% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 46
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 164 days
Stale 30+ days: 46
Stale 90+ days: 37

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (10)
  • bug (7)

Most active issues this week

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Detailed Description

TinyAGI is an agent teams orchestrator that enables one person to run multiple teams of AI agents collaborating simultaneously across isolated workspaces.

The tool addresses the challenge of coordinating multiple specialized AI agents working together on complex tasks. It allows agents to hand off work to teammates through chain execution and fan-out patterns, with each team operating in its own isolated workspace. The system maintains persistent conversation context across restarts using SQLite-backed queues with atomic transactions and retry logic, enabling 24/7 operation as a background process or Docker container.

TinyAGI suits solo founders and small teams who need AI agents to handle multiple concurrent workflows across different channels. The tool includes a browser-based dashboard called TinyOffice for managing agents, teams, tasks, and logs, plus persistent async chat rooms per team. It supports multiple AI providers including Anthropic Claude and OpenAI, with custom provider support for any OpenAI or Anthropic-compatible endpoint. The quick start requires only Node.js and installs globally with zero configuration—it auto-creates default settings and opens the dashboard immediately. A plugin system allows extending functionality with custom message hooks and event listeners.

The project maintains active development with regular engagement in its Discord community and an explicit call for contributors. The codebase is written in TypeScript and supports macOS, Linux, and Windows via WSL2, with Docker deployment available for containerized operation.