by duozokker · MCP Server · ★ 42
Agent2 Turn domain experts into production AI agents. Not just how they think — how they work. The tools, the books, the memory, the judgment calls. Quick start The intended flow is: The hosted script is a deployment target. The repo already ships the installer locally: This does three things: writes and , picks the model, configures Docker profile and telemetry, and backs up existing config files before replacing them. runs the Brain Clone onboarding harness. The LLM may help shape the interview into an , but only deterministic Python templates write files.
| Stars | 42 |
| Forks | 1 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.3708337563262/100 |
| Last Updated | 2026-05-06 |
| Created | 2026-03-16 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~70k |
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agent2 is Turn domain experts into production AI agents.. It is categorized as a MCP Server with 42 GitHub stars.
agent2 is primarily written in Python. It covers topics such as agent-runtime, ai-agents, ai-framework.
You can find installation instructions and usage details in the agent2 GitHub repository at github.com/duozokker/agent2. The project has 42 stars and 1 forks, indicating an active community.
agent2 is released under the MIT license, making it free to use and modify according to the license terms.