20+ Claude Code agents coordinating on real work (open source)
Parallel agent coordination with shared state beats single-agent stalling, but scope limited to Lean proving.

Full VMs with bring-your-own-cloud pricing beat E2B's container lock-in.
Developers building or using AI coding agents like Claude Code
E2B · Daytona · Modal
Parallel agent coordination with shared state beats single-agent stalling, but scope limited to Lean proving.
Claude memory without token costs, but requires running five services for one feature.
Git worktree multiplexing lets one agent write tests while another refactors—750+ merged PRs prove the workflow.
Claude gets memory, scheduling, and file watchers—but only macOS, only Claude subscriptions.
Runs extraction and search server-side so your local MCP is a tiny HTTP client — no local DBs, no giant RAM leaks, and an easy npx install and .mcp.json or global MCP registration. It exposes clear tools (save_memory, recall_memories, extract_memories, get_project_context) and adds project-scoped + global preferences — a pragmatic fix for Claude Code's tiny flat-file memory. The tradeoff is obvious: usefulness depends on the hosted API (privacy, uptime, cost), and the repo looks early-stage with minimal commits and docs beyond the quickstart.
Claude talks to RunPod/Lambda/Lambda/Vast — but needs working provider integrations to matter.