Other orchestrators launch blind agents.
Jupiter launches agents that see.
Parallel AI coding agents that pre-analyze your codebase, share knowledge in real-time, and never conflict.
Open source · Rust-first · Works with Claude Code · #JupiterAI
Jupiter will interview you to build a precise task description before launching the parallel execution engine.
Start ChatOne agent. One context. One bottleneck.
Context overflow
Claude has 200K tokens. Your codebase has 500K lines. The agent forgets, hallucinates, loops.
Blind parallelism
Other tools launch agents that discover the codebase from scratch. No shared knowledge. File conflicts.
Serial bottleneck
One task at a time. Refactor, then test, then docs. Why not all three at once?
Pre-analyze. Brief. Orchestrate. Validate.
Four steps to parallel AI coding that actually works.
Analyze
Jupiter's Planner uses MCP code intelligence to map your entire codebase: AST, call graphs, symbol references, dependency chains. Before any worker writes a single line.
Brief
Each worker gets a surgical briefing: exactly which files to touch, the signatures of dependencies, and what other workers are doing. No guessing. No conflicts.
Orchestrate
Workers run in parallel with shared knowledge. The Scheduler manages file locks, resolves dependencies, and routes messages between workers in real-time.
Validate
Before declaring "done", Jupiter runs your build pipeline: cargo check, clippy, cargo test. Failures get routed back to the responsible worker automatically.
Not just faster. Smarter.
| Feature | Single Agent | Blind Orchestrators | Jupiter |
|---|---|---|---|
| Parallel workers | ✗ | ✓ | ✓ |
| Codebase pre-analysis | ✗ | ✗ | ✓ |
| Surgical briefings | ✗ | ✗ | ✓ |
| Shared knowledge | ✗ | ✗ | ✓ |
| File lock management | ✗ | ✗ | ✓ |
| Auto validation (build+test) | ✗ | ✗ | ✓ |
| MCP integration | Manual | None | Out-of-the-box |
| Open source | Varies | Varies | AGPL-3.0 |
"Other tools multiply speed. Jupiter multiplies intelligence."
Everything you need. Nothing you don't.
Context Multiplier
5 workers = 5x context window. 1M effective tokens on a 200K model.
Rust-First
Built for Rust devs. Understands borrow checker errors, lifetime hints, trait signatures. Then expands to TS, Python, Go.
MCP-Powered
Ships with code intelligence MCPs: AST parsing, docs lookup, crate search. Workers arrive armed, not naked.
Worker Memory Bus
Shared append-only log between workers. Real-time state sync without conflicts.
Smart Scheduler
Deterministic Rust engine. File locks, dependency graphs, resource monitoring. Zero token cost.
Auto Validator
Build, lint, test pipeline runs automatically. Failures routed back to the right worker.
Every moon is a capability
Real planets have moons. So does Jupiter.
Every MCP server in the Rust ecosystem becomes a moon in Jupiter's orbit —
a satellite that gives workers superpowers.
Open source projects. Integrated, not forked.
First Orbit
Read, write, search, move. The ground beneath every worker.
Multi-tool suite: code analysis, git via libgit2, system ops. 8 languages, one crate.
Build, test, clippy, crates.io API, rustdoc JSON. All Cargo commands via MCP.
Second Orbit
90 tools, 32 languages. Semantic search, call graphs, security scan. One binary, all local.
Go-to-def, find references, hover, completions, diagnostics. The full Rust LSP via MCP.
Full rustdoc with signatures, fields, methods. Multi-source caching, workspace support.
GraphRAG on code: AST + embeddings + SurrealDB. 11 languages.
Third Orbit
HTTP fetch, robots.txt compliance, HTML to markdown. Max 1M chars.
Lightweight database access. Parameterized queries, tiny footprint.
CRUD + schema inspection via rmcp SDK.
Remote execution, port forwarding, session management. Workers go remote.
WebDriver automation. Chrome, Firefox, headless. Performance monitoring.
Outer Orbit
Problem breakdown, reflective thinking, branching logic. 100x faster than TypeScript.
Sentry integration. Issues, traces, events. 10x less RAM than Node.
crates.io search, codebase search, shell exec, code pattern analysis.
Search crates, versions, dependencies, documentation. 6K+ downloads.
"A single agent lands naked on your codebase.
A Jupiter worker arrives with an entire solar system."
Free forever. Pro when you're ready.
Free
- ✓ 3 parallel workers
- ✓ Planner + Validator
- ✓ MCP integrations
- ✓ Worker memory bus
- ✓ Open source (AGPL-3.0)
Pro
- ✓ Unlimited workers
- ✓ CLI + GUI (desktop app)
- ✓ Analytics & insights
- ✓ Plan templates & worker presets
- ✓ Priority support
You already pay $100-200/month for Claude Max. Jupiter makes every dollar work harder.
From the blog
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Technical deep dives, product updates, and behind-the-scenes.
Jupiter v0.1 Alpha: First Public Release
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Building MCP Servers in Rust: A Practical Guide
How to build high-performance MCP servers in Rust using the rmcp SDK. From zero to a working server in 15 minutes.
Why Parallel AI Agents Need Shared Context
Most AI orchestrators launch agents in isolation. Here's why shared context changes everything — and how Jupiter solves it.
Join the community.
Get early access, share feedback, and shape the future of Jupiter with fellow developers on Discord.
Open community · Feature requests · Early access · #JupiterAI