sandbox-agent/ROADMAP.md

launch

• provide mock data for validating your rendering
  • provides history with all items, then iterates thorugh all items on a stream
  • this is a special type of serve function
  • make sure claude.md covers everything
• re-review agent schemas and compare it to ours
• write integration guide
• add optional raw payloads to events via query parameters
• auto-serve frontend from cli
• verify embedded sdk works
• fix bugs in ui
  • double messages
  • user-sent messages
  • permissions
• add an API option to stream only the next assistant item after a posted message (single-response stream)
• consider migraing our standard to match the vercel ai standard
• discuss actor arch in readme + give example
• skillfile
  • specifically include the release checklist

soon

• Vercel AI SDK Compatibility: Works with existing AI SDK tooling, like useChat
• Auto-configure MCP & Skills: Auto-load MCP servers & skills for your agents
• Process & logs manager: Manage processes, logs, and ports for your agents to run background processes
• Codex app-server concurrency: Run a single shared Codex app-server with multiple threads in parallel (like OpenCode), with file-write safety
• persistence

later

• missing features
  • file changes
• api compat
  • vercel ai sdk + hono proxy
  • tanstack ai
  • opencode ui
• synthetic question tool
  • since claude headless does not support this
• guides:
  • ralph
  • swarms
• opencode compatible api
• review all flags available on coding agents clis
• set up agent to check diffs in versions to recommend updates
• auto-updating for long running job
• persistence
• system information/cpu/etc
• api features
  • list agent modes available
  • list models available
  • handle planning mode
• api key gateway
• configuring mcp/skills/etc
• process management inside container
• otel
• better authentication systems
• s3-based file system
• ai sdk compatibility for their ecosystem (useChat, etc)
• resumable messages
• todo lists
• all other features
• misc
  • bootstrap tool that extracts tokens from the current system
• skill
• pre-package these as bun binaries instead of npm installations
• build & release pipeline with musl
• agent feature matrix for api features
• tunnels
• mcp integration (can connect to given endpoints)
• provide a pty to access the agent data
• other agent features like file system
• python sdk
• comparison to agentapi:
  • it does not use the pty since we need to get more information from the agent directly
• transfer sessions between agents