Bevel

eve is an AI agent framework for building durable, structured, multi-agent projects from declarative configuration covering instructions, skills, tools, channels, schedules, permissions, and evaluations. Its agents can be developed within a single folder and run through chat surfaces such as Slack or the eve development TUI. Vercel uses eve as the foundation for a marketing-team template with one lead and five specialists: product marketing, content marketing, social media, SEO, and email. The lead loads shared brand context and user preferences, writes self-contained briefs, routes work one level deep, and returns deliverables produced in Notion, Typefully, or Resend; specialists research and edit their own work against written rubrics rather than spawning further agents. The template uses MCP connections for Notion, Typefully, and Resend, Vercel Blob for shared state and files, Vercel AI Gateway for model access, and Vercel Sandbox for reference files and shell commands. Irreversible actions—including email sends, deletes, scheduled social publishing, and Notion page moves—pause for human approval, while the available Resend tools are restricted to keep account administration out of reach. The project is implemented in strict ESM TypeScript and includes commands for local development, validation, type checking, discovery diagnostics, and deployment.

Deft is a self-hostable, open-source workspace where people and AI agents share chat, tasks, knowledge, calendar context, approvals, and action history. Its core workflow captures discussions as durable knowledge, lets the Defty agent use workspace context to propose task details, and routes proposed agent actions through configurable approval and trust policies before recording the approved work and its receipts. It also provides real-time conversations, task views, notes, knowledge graphs, calendar features, personal MCP connections, agent employees, native workspace tools, scoped access, revocation, and provider-neutral support for hosted or local AI providers. Deft can run without an AI provider as a conventional workspace. The self-hosting path uses Docker and PostgreSQL with pgvector; the repository is an alpha intended for technical evaluation, internal use, and controlled pilots. It is licensed under AGPL-3.0-only.

Git is an open-source, fast, scalable, distributed revision control system. It stores project changes as versioned commits and provides repository history, diffs, branching, isolated work trees, and rollback capabilities for reviewing or reverting changes. The project provides both high-level version-control operations and access to its internal mechanisms. It is covered primarily by the GNU General Public License, with some components under compatible licenses, and was originally written by Linus Torvalds with contributions from a wider developer community.

Keel is a local-first native macOS coding workspace that runs coding agents through a Rust/GPUI application. It combines sessions, a composer, transcripts, a terminal, change inspection, settings, Git history, crash recovery, and an agent graph showing active agents, subagents, and files as shared context; agents can be steered or stopped from the graph. It connects Claude Code, Codex, Cursor, Grok, Hermes, and pi through the Agent Client Protocol, and also includes an embedded DeepSeek agent loop with host-enforced tool focus. For unpinned tasks, a local Laya selector running through Core ML or an optional hosted Jev selector chooses among host-prepared routes or abstains. Keel validates each choice before applying it, falls back to the ordinary route when a choice is rejected, stale, or expired, and records candidates, validation, fallback, and observed outcome in bounded decision receipts. Decision receipts can be exported as JSONL and summarized with CLI reports. Keel also provides headless and daemon modes, while each coding provider retains its own authentication, model configuration, and tool loop. The repository supports Apple Silicon and macOS 15 or later for the packaged Laya model. It can be built from source, but the repository does not currently publish downloadable app releases; packaged builds are ad hoc signed development builds. Automatic training, public installer distribution, cloud sync, and native Codex realtime voice are not implemented or included in this build.

Kandev is an open-source, self-hostable AI Kanban and development environment for orchestrating coding agents and reviewing their work. It organizes tasks in Kanban and pipeline views, supports parallel execution and multi-step agentic workflows, and isolates concurrent work with Git worktrees. Its integrated workspace combines a file editor, file tree, terminal, browser preview, chat, and Git changes for reviewing and iterating on agent output. Agents can run through local, Docker, SSH, or cloud runtimes, with support for multiple agent providers; the project also provides configurable workflows, agent profiles, prompts, review gates, scheduled or webhook-triggered automations, and no telemetry.