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Agen

Agen is a platform for fully autonomous AI coding agents that run in the cloud. You connect a Git repo, describe a task in plain English, and agents clone the code, explore the codebase, write changes, run the pipeline, fix CI failures themselves, and hand back a merge-ready pull request with a live preview — no IDE, no local setup, no babysitting. It supports multi-repo sessions, unlimited parallel agents, scheduled runs with budget limits, and mobile task assignment. Agen positions itself against IDE-bound copilots and single-repo agents by being cloud-native from day one, with flat $59/mo pricing versus metered competitors. Non-technical teammates can assign work while engineers keep merge control. New accounts get $20 in free credits, making it easy to test on a real codebase before committing.

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codemap is an MIT-licensed project brain for AI coding tools that gives LLMs instant architectural context from your codebase without burning tokens. It generates a fast tree/context view, dependency flow, dependency blast-radius analysis, and a layered handoff format for cross-agent continuation, then exposes everything through a JSON context bundle and an MCP server compatible with Claude Code and Codex. A built-in Codex plugin and community skill registry make it easy to install and share. Developers use codemap to onboard agents to large repos in seconds, keep session continuity across handoffs, and scope the impact of a change before running it.

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