Jupiter v0.1 Alpha: First Public Release
The first public alpha of Jupiter is here. Parallel AI coding agents with shared context and a Rust-native MCP ecosystem.
What shipped
After months of development, we’re releasing Jupiter v0.1 Alpha — the first public version of our parallel AI coding agent orchestrator.
Here’s what’s in this release:
Planner engine
The Planner is Jupiter’s brain. Before any worker touches your code, the Planner:
- Indexes your codebase — symbols, modules, dependencies
- Decomposes tasks — breaks a high-level instruction into worker-sized subtasks
- Generates briefings — each worker gets a context package with relevant code, constraints, and owned symbols
- Detects conflicts — ensures no two workers modify the same code
Parallel workers
Jupiter workers are AI coding agents enhanced with MCP tools. In v0.1:
- Up to 4 parallel workers per task
- Each worker gets a typed briefing from the Planner
- Workers share state via the memory bus
- Automatic conflict detection and resolution
MCP ecosystem
16 Rust-native MCP servers integrated:
- Phase 1: Filesystem, code + git + system tools, Cargo toolchain
- Phase 2: Code intelligence (narsil-mcp), Rust LSP, Rust docs
- Phase 3: Web fetch, SQLite, SSH
- Phase 4: Sequential thinking, error tracking, crate search
All servers are single binaries, zero Node.js dependencies, ~3MB RAM each.
What’s next
Here’s our roadmap for the coming releases:
- v0.2 — Auto-validation: workers run tests and self-correct before reporting done
- v0.3 — CLI + GUI: unified interface for managing workers and tasks
- v0.4 — Remote workers: distribute across machines via SSH + SSE transport
- v1.0 — Production-ready with full documentation
Getting started
Jupiter is open source under AGPL-3.0. Join our Discord to connect with the community and follow the development.
Thank you
Jupiter is built by a small team that believes AI coding agents can be dramatically better. If you share that vision, we’d love your feedback, bug reports, and contributions.
Let’s build the future of parallel AI development — together.