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AI-Powered Code Repository

GitHub keeps going down.
Your code shouldn't.

When even OpenAI builds its own repository platform to escape GitHub's outages and limitations, it's clear the industry needs a new standard. JJHub is an AI-native, Rust-powered code platform — built from scratch for autonomous agents, enterprise reliability, and zero vendor lock-in.

23
MCP Tools for AI Agents
459
Tests, Zero Warnings
100%
Rust — Memory Safe
Why JJHub

Built for what GitHub wasn't

GitHub was built for human developers in 2008. JJHub is built for a world where AI agents write most of the code — and the platform needs to keep up.

verified_user

Reliability First

GitHub's repeated outages blocked teams for hours. JJHub's Rust-powered core delivers memory-safe, zero-crash reliability on a distributed architecture designed for 99.9% uptime.

  • Rust-powered core — no garbage collector pauses, no segfaults
  • Globally replicated infrastructure
  • Zero-downtime deployments
  • No single point of failure
smart_toy

AI-Native by Design

JJHub is agent-first — AI doesn't just suggest code, it manages your repository: drafting pull requests, running tests, and performing security scans in a unified workflow.

  • Agents that draft PRs & run tests autonomously
  • Deep integration with Claude, Gemini, ChatGPT & more.
  • AI-powered security scanning built in
  • Codebase-aware model context
hub

Vertical Integration, Zero Friction

JJHub owns the full stack — repository, AI engines, and codebase metadata are unified, eliminating context-switching between disconnected tools.

  • Repository + AI + CI/CD in one platform
  • No third-party tool sprawl
  • Optimized model-to-codebase interaction
  • Single pane of glass for your workflow
domain

Independent & Enterprise-Ready

JJHub is independent — no vendor lock-in, no competing priorities. Built for enterprise with monorepo support, global replication, and compliance-grade security.

  • No big-tech vendor lock-in
  • Monorepo-scale storage & performance
  • TLS by default, SSH transport, bearer token auth
  • Auth rate limiting & constant-time token validation
  • Enterprise compliance (SOC 2, GDPR) & dedicated SLAs
Autonomous Agents

From smart assistant to fully autonomous developer

JJHub turns AI agents into self-correcting, self-organizing teammates — with built-in guardrails so humans stay in control.

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Instant Undo for AI Mistakes

JJHub records every state of your repository. When an agent makes a mistake, roll back to the exact moment before things went wrong — no manual cleanup, no lost work.

  • Complete activity log of every change
  • One-click rollback to any prior state
  • Agents self-correct without human intervention
  • Dramatically lowers the risk of autonomous AI
autorenew

AI That Iterates Like a Developer

JJHub gives agents the ability to organize their own work — abandoning dead ends, incorporating your updates, and combining changes into clean, reviewable units.

  • Agents discard failed experiments automatically
  • AI stays current with your latest changes
  • Multiple changes merged into clean deliverables
  • Professional commit history, not AI noise
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Safe Coexistence — Human & AI

When an AI agent modifies your active workspace, JJHub redirects it into a parallel workspace. You keep typing, the agent keeps working, nothing collides.

  • AI never overwrites your active work
  • Automatic isolation into parallel workspaces
  • Human and AI work simultaneously, safely
  • You review and merge — always in control
Under the Hood

The technical architecture behind it

JJHub is built on jj, a next-generation version control system written in Rust, with a native MCP server that turns every repository into a structured API for AI agents.

terminal

Native MCP Server

Agents interact through structured tool calls, not shell commands. JJHub exposes a native MCP server built on jj_lib — no parsing CLI output, no brittle scripts.

  • get_diff("main", "main..@")
  • read_file_at_rev(path, revision)
  • rebase_change(source, destination)
  • query_semantic_history(function="…")
manage_search

Vector Search & Live Context

The AI fetches exactly the diff you just typed — no guessing. JJHub natively embeds code blocks and commit diffs, so agents query only what they need.

  • Regex search across commits, authors, and revisions
  • Zero-hallucination context from live diffs
  • Shallow clone — agents fetch only the history they need
  • Massive token savings — only relevant context
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Agent Sandboxing & Blast Radius

Each agent gets a workspace with configurable permissions. Changes are automatically sandboxed — a reviewer must approve before anything reaches the main line.

  • Per-agent workspace isolation
  • Dry-run mode — agents preview mutations before committing
  • Configurable blast radius policies
  • Tiered agent permissions
  • Mandatory review gates for promotion
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Auto-Semantic Commit Grouping

An agent generates dozens of anonymous commits. An LLM hook analyzes the diffs and splits them into logical, atomic commits with human-readable messages.

  • Automatic diff analysis via LLM hooks
  • Logical commit splitting & grouping
  • Human-readable messages generated automatically
  • Review-ready history, not AI noise
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First-Class Conflicts

In jj, conflicts are recorded in the commit itself. Agents can merge, hit a conflict, and push that state without breaking their workflow.

  • Conflicts stored in commits, not the working directory
  • Automatic 3-way merge resolves non-overlapping edits
  • Agents never enter a broken state
  • Async conflict resolution via hooks
  • Multi-agent workflows run uninterrupted
save

Working-Copy-as-a-Commit

No git add, no git commit. jj continuously snapshots the working directory. If an agent crashes halfway through, the exact state is preserved.

  • No staging area — continuous automatic snapshots
  • Crash-safe — state is always preserved
  • Branchless by default, fewer failure modes
  • Fewer tokens wasted on Git plumbing
AI Context Management

Version-control the context your AI depends on

Claude Code / Gemini / Codex Projects, custom instructions, and knowledge-base files are critical infrastructure. JJHub gives you the same rigor for AI context that you already expect for source code.

history

Version Control for AI Context

Claude Projects lets you upload Project Knowledge — PDFs, code snippets, or docs. Save these files to JJHub and you gain a full historical record of how your project context evolved over time.

  • Revert changes when updated instructions cause hallucinations
  • Diff any two versions of your knowledge base side-by-side
  • Roll back to a known-good context in one click
  • Audit trail for every change to your AI’s instructions
sync

Portability & Syncing

The .claude/projects/ folder is local to your machine. If you work across multiple devices, Claude’s web interface keeps the project online, but your local configuration files won’t sync automatically.

  • JJHub acts as a single source of truth for project configs
  • Pull your AI context onto any machine with one command
  • Seamless sync between desktop, laptop, and CI
  • Never lose custom instructions when switching devices
settings_suggest

CI/CD Pipeline Integration

For teams working with Rust, PostgreSQL, and similar stacks, saved project files integrate directly into your automation pipeline — keeping AI context current and auditable.

  • Audit AI interactions — track what docs the AI was given
  • Auto-update Claude Project docs when your codebase changes
  • Secrets are automatically masked or skipped in context files
  • GitHub Actions integration for hands-free context management
Security & Compliance

Shift-left security, built into the VCS

GitHub and GitLab bolt on security as reactive add-ons. JJHub integrates compliance into the core of every push — so secrets never land, regulated data is caught in context, and non-compliant commits are quarantined automatically.

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Automated Secret Rejection

Traditional VCS alerts you after a secret is committed — by then it's in the history and must be rotated. JJHub rejects the push entirely before it ever reaches the remote.

  • Pre-receive hooks reject .env files and regex-matched patterns
  • AWS keys, Stripe keys, API tokens caught on push
  • Secrets never enter the remote git history
  • No post-hoc rotation or history rewriting required
policy

ML-Driven Compliance Scanning

Static rules produce false positives. JJHub uses ML models that understand context — distinguishing a random number string from a Social Security Number or credit card number.

  • Context-aware detection of PHI, PII, and PCI data
  • HIPAA, PCI-DSS, and GDPR regulation coverage
  • Specific compliance reports per commit — not generic failures
  • Lower false-positive rates than rule-based scanners
enhanced_encryption

Quarantine & Purge Workflow

If non-compliant data slips through, JJHub isolates it in an encrypted quarantine — inaccessible to the team until the committer scrubs the history or the data is automatically deleted.

  • Encrypted quarantine for flagged commits
  • Grace period for history scrubbing or justification
  • Automatic deletion after configurable duration
  • Audit-safe — your server never becomes a HIPAA/PCI liability
How We Compare

JJHub vs. the incumbents

Purpose-built for AI agents, not retrofitted.

Feature GitHub GitLab JJHub
AI agent-native API (MCP)
Written in Rust
First-class conflict handling
Working-copy-as-a-commit
Agent sandboxing & blast radius
Auto semantic commit grouping
Pre-push secret rejectionPartialPartial
ML compliance scanningAdd-onAdd-onBuilt-in
Vendor lock-inMicrosoftIndependent
Self-hosted optionEnterprise
FAQ

Frequently asked questions

How is JJHub different from GitHub?

GitHub was built for human developers in 2008. JJHub is built from scratch for AI agents — with a native MCP server, Rust-powered core, first-class conflict handling, and agent sandboxing. We don't bolt AI onto Git; we built a new foundation.

What version control system does JJHub use?

JJHub is built on jj (Jujutsu), a next-generation VCS written in Rust. It's Git-compatible but adds working-copy-as-a-commit, first-class conflicts, and branchless workflows — all critical for autonomous AI agents.

Can I migrate from GitHub?

Yes. Since jj is Git-compatible, you can import any Git repository directly. Your commit history, branches, and tags are preserved. We also provide migration tooling for CI/CD pipelines and webhooks.

Which AI models does JJHub support?

JJHub works with any AI agent that speaks MCP (Model Context Protocol) — including Claude Code, Gemini, ChatGPT, Codex, and custom agents. The MCP server exposes structured tool calls, not CLI wrappers.

Is there a free tier?

Yes. JJHub offers a free tier for individual developers with unlimited public repositories. No credit card required to get started.

Can I self-host JJHub?

Yes. Enterprise customers can deploy JJHub on their own infrastructure — on-prem or private cloud. Contact our sales team for details on the self-hosted offering.

Deploy your first AI-managed repo in under 60 seconds.

Stop stitching together tools that weren't built for agents. JJHub gives your AI the platform it actually needs — start free, no credit card required.