apodexai/frontieragent

🧩 FrontierAgent, our agent framework, open-sourced alongside it — native command-line TUI, ReAct and Agent Team modes, one command on macOS and Linux, no...

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Summary Information

Updated 42 minutes ago
Added to GitGenius on September 18th, 2026
Created on August 22nd, 2026
Open Issues & Pull Requests: 15 (+0)
GitHub issues: Enabled
Number of forks: 211
Total Stargazers: 4,192 (+2)
Total Subscribers: 65 (+1)

Repository Insights (GitGenius)

Median issue/PR response: 5.4 hours
Mean response time: 25.0 hours
90th percentile: 4.8 days
Tracked items: 9

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Issue Activity (beta)

Open issues: 6
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 15 days
Stale 30+ days: 0
Stale 90+ days: 0

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

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Detailed Description

FrontierAgent is an open-source agent runtime and terminal application that executes long-horizon research and file-based work tasks.

The tool addresses the need for agentic systems that can handle complex, multi-step workflows without heavy infrastructure requirements. It provides two native execution modes: ReAct, where a single stateful agent researches, reads files, writes deliverables, and runs commands iteratively within a task-scoped sandbox; and Agent Team, where a coordinator maintains a task board, delegates work to parallel sub-agents, collects their reports, and synthesizes results. The framework separates its workflow engine, tools, evaluation layer, and framework components so each can be reused independently. Installation requires only one command on macOS and Linux with no preinstallation or hard Docker dependency.

Developers should choose this tool if they need a terminal-native agent framework for research-oriented or file-manipulation tasks that benefit from either single-agent reasoning or multi-agent coordination. The project suits scenarios where agents need to interact with the filesystem, execute commands, and iterate on complex problems. The framework is designed to work with compatible model endpoints, including the Apodex API, and can integrate with alternative model providers through standard interfaces.

The project maintains active development with regular updates to its core workflows and evaluation capabilities. The codebase is organized to keep framework, tools, and evaluation concerns modular and independently reusable. Documentation is structured to guide users through installation, workflow selection, and evaluation setup. The team provides multiple channels for community engagement and feedback on agent behavior and framework improvements.