Evc Mesh — AI skill for Claude Code
Task management platform for human + AI agent coordination.
How to install Evc Mesh
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open entire-vc/evc-mesh and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Evc Mesh does
Task management platform for human + AI agent coordination.
Alternatives in AI
- Claude Task Master — by eyaltoledano - A task management system for AI-driven development with Claude, designed to work seamlessly 26k ★
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- OpenSpace — "OpenSpace: The Skill Management Layer for AI Agents" -- https://open-space.cloud/ 7.5k ★
README
Entire VC Mesh
[](LICENSE) [](https://go.dev) [](https://react.dev) [](docs/mcp-reference.md) [](https://github.com/entire-vc/evc-mesh/releases)
**Alpha Release** — Mesh is under active development. APIs may change between versions. We welcome early adopters and feedback.
Task management platform for coordinating humans and AI agents in a unified workspace. Designed for teams that work alongside AI coding agents such as Claude Code, OpenClaw, Cline, and Aider.
Mesh provides a **dual interface**: a web UI with kanban boards for humans and an MCP/REST API for agents, connected by a real-time event bus so both sides share context.
Why Mesh?
Traditional project management tools treat AI agents as an afterthought. Mesh is built from the ground up for human-agent collaboration:
- Agents are first-class citizens — they authenticate, receive tasks, report progress, and share context with other agents
- Real-time coordination — NATS JetStream event bus enables inter-agent context sharing without polling
- One source of truth — both humans (web UI) and agents (MCP/REST) operate on the same task board
- Self-hosted — your data stays on your infrastructure
Features
Work Management
- Kanban boards with drag-and-drop, customizable statuses per project
- List, Timeline (DAG), and Calendar views with saved view presets
- Custom fields (12 types: text, number, date, select, multiselect, URL, email, checkbox, user/agent references, JSON)
- Task dependencies visualized as a DAG timeline
- Subtasks, comments, labels, and artifact attachments (S3/MinIO)
- Recurring tasks with cron scheduling
- Initiati
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