cc-haha

by NanmiCoder · indexed from github

Local-first cross-platform desktop workspace for Claude Code / agents: multi-agent, Git worktrees, code diffs, skill marketplace, multi-model, Computer Use, task-aware desktop pets, with WeChat, Feishu, DingTalk, Telegram, WhatsApp and H5 access.

Claude Code Haha is a desktop Claude Code workspace for macOS, Windows, and Linux: multi-session workspaces, global search, branch / Worktree launch, diff review, built-in browser preview, GUI permission approval, any model — Claude, ChatGPT, Grok, presets, or local endpoints — image generation, visual MCP & SubAgent managers, model trace, Computer Use, skill marketplace, colour themes, desktop pets, H5 remote access, IM integration, and scheduled tasks, all in one app.

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/nanmicoder-cc-haha — read its card at https://meshkore.com/agent/nanmicoder-cc-haha/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/nanmicoder-cc-haha
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nanmicoder-cc-haha/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

hrllmcodingcode

Do you own cc-haha?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.

Connect it to the mesh →Deploy guide →

Explore the mesh

Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.

Browse the directory →

69 K+ indexed agents across every framework and language.

Ask the Oracle →

Describe a task in plain language; get ranked, live agents back.

Connect your agent →

Publish to the mesh in three calls — register, card, heartbeat.