Mega is live · free · last verified 4 Nov 2026 · viability monitor

Mega

Mega

Open-source Git-compatible monorepo engine that stores AI agent session context alongside code

66/100MonitorFreeFree

If your agents keep re-cloning the same giant repo and their reasoning vanishes after each diff, Mega2 targets both problems with Libra's capture hooks and ScorpioFS's on-demand mount. Both are the pieces worth a trial, and both run free under MIT/Apache-2. Budget for operating a stateful backend yourself, though.

Verdict generated

Verified 9d ago · liveness 66/100 · cite: rightaichoice.com/tools/mega

Best for
  • Platform engineers building toolchains for AI coding agents
  • Teams running several agents against one large monorepo
  • Organizations that want agent session context stored alongside code
  • Teams replacing full clones with on-demand FUSE-mounted workspaces
Not ideal for
  • Individual developers with small projects
  • Teams committed to multi-repo workflows
  • Anyone needing a fully hosted service rather than self-run infrastructure
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AdvancedThe documented path is quick if Docker is already in place: download the Compose file, run it, and reach the local instance at 127.0.0.1:9000, then do a first push. Budget an afternoon for a real repo with monorepo path and main-trunk rules, and longer if you add Libra hooks and ScorpioFS mounts. Expect days, not hours, before a team depends on it.Web · CLIAPI availableVerified 9d ago
Pricing
Free
FreeFree tier4 hidden costs
Learning curve
Advanced
The documented path is quick if Docker is already in place: download the Compose file, run it, and reach the local instance at 127.0.0.1:9000, then do a first push. Budget an afternoon for a real repo with monorepo path and main-trunk rules, and longer if you add Libra hooks and ScorpioFS mounts. Expect days, not hours, before a team depends on it.
Runs on
WebCLI
API available · 6 integrations
Who it's for
Platform engineer at a company running several coding agentsAI agent developer who needs the reasoning behind each changeInfrastructure lead consolidating artifact storage
Live sentiment
Is Mega actually worth it?

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  • Real pros & cons from real users
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Skip it if

Skip Mega2 if you want a hosted version-control service you don't operate, or if your repos are small enough that a normal clone and a chat window are sufficient context for your agents.

Skip-it-if note generated
The 30-second take
Biggest gripe

The community edition excludes the Web UI and Change List, so anything you build around those surfaces is extra engineering on your side

Price reality

Mega2's community edition is open source under MIT and Apache-2. For a platform team already running that infrastructure, that is often cheaper than per-seat hosting at monorepo scale; for a small team without ops capacity, the free code is the cheap part.

Generated

In short

Mega — Open-source Git-compatible monorepo engine that stores AI agent session context alongside code. Best for Platform engineers building toolchains for AI coding agents, Teams running several agents against one large monorepo, Organizations that want agent session context stored alongside code. Free to use.

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What is Mega?

Mega — Open-source Git-compatible monorepo engine that stores AI agent session context alongside code. Best for Platform engineers building toolchains for AI coding agents, Teams running several agents against one large monorepo, Organizations that want agent session context stored alongside code. Free to use.

FreeAdvancedAPI availableWeb · CLI

Mega2 is an open-source monorepo engine and Git hosting backend for teams whose AI coding agents all work against one large codebase. It is built around a single Rust server plus two companion clients: Libra for version control and session capture, and ScorpioFS, a FUSE-based virtual file system. The server speaks Git Smart HTTP for clone, fetch and push, offers read-only SSH, keeps one public main trunk on ordinary paths, and isolates third-party code in a separate ImportRepo. Git objects, LFS large files, build artifacts and OCI images share local or S3-compatible storage with Postgres metadata. The design premise is that a diff erases the reasoning behind it. An optional HTTP API captures agent sessions, events, checkpoints and redacted transcript snapshots, so intent, planning and tool calls stay attached to the repository rather than living out their days in a chat window. Libra ships capture hooks for Claude Code, Codex and OpenCode plus a terminal interface for browsing session and checkpoint history. ScorpioFS goes after clone-storm overhead: instead of every agent workspace paying for a full clone, it mounts a remote monorepo path locally and fetches files on demand. That is the piece to benchmark against your current clone times before committing. On the managed-hosting axis, Mega2 and GitHub or GitLab split on priorities: hosted platforms give you uptime SLAs and a polished UI, while Mega2 puts agent-native session context and on-demand mounting inside the repo itself. The trade is that you self-operate a stateful Rust backend on Postgres and object storage, and the open-source edition runs in trunk/storage-only mode without the Web UI or Change List.

Key features

  • Git Smart HTTP clone, fetch and push
  • Read-only SSH access to repositories
  • Trunk-based monorepo with a single public main trunk
  • ImportRepo for isolating third-party codebases
  • Optional HTTP API for agent session capture
  • Session, event, checkpoint and transcript recording
  • Redacted transcript snapshots attached to repo history
  • Shared object storage for Git objects, LFS, build artifacts and OCI images
  • Postgres metadata with local or S3-compatible storage
  • ScorpioFS FUSE virtual file system for on-demand access
  • Mount a remote monorepo path as a local workspace
  • Libra capture hooks for Claude Code, Codex and OpenCode
  • Libra terminal UI for browsing sessions and checkpoints
  • Webhook notifications
  • Rust server with Docker Compose evaluation stack

Behind the verdict

We'd reach for Mega2 when the pain is specific: multiple AI agents hammering one large monorepo and a reviewer who cannot tell why a change happened. Libra's session capture is the differentiator nobody else ships in the same box, and ScorpioFS's FUSE mount is the practical answer to clone storms. The friction shows up fast if you expect a service. This is a Rust server you run on Postgres and S3-compatible storage, with host networking on Linux and a Compose stack for evaluation. Nobody is on call but you. The open-source edition runs trunk/storage-only and omits the Web UI and Change List. Plan around API, CLI and terminal workflows rather than clicking through a hosted interface. Against GitHub or GitLab, you give up managed uptime and a mature UI review flow. What you get back is context attached to history and on-demand mount instead of full clone. For a platform team already running Postgres and object storage, that trade is defensible. Where it bites: docs are Chinese-first, the community is small, and the whole value proposition depends on your agents actually using Claude Code, Codex or OpenCode so the capture hooks matter. If your workflow is multi-repo by design, stop here.

Limitations

  • Mega2 runs in trunk/storage-only mode in the open-source community edition, which does not include the Web UI or Change List, so features depending on those are outside the free codebase.
  • You self-operate a stateful backend — Rust server, Postgres metadata, and local or S3-compatible object storage — and own its availability.
  • The homepage is largely in Chinese, raising reading cost for English-speaking teams, and adoption assumes comfort with Git internals plus running stateful services.
  • Agent session capture is optional and, where transcripts are involved, depends on what is available and redacted from client hooks; the clone-versus-mount diagram is explicitly labeled illustrative, not a performance benchmark.

as of 2026-10-17

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Is Mega still active?

Mega is live · free · last verified 4 Nov 2026 · viability monitor.

Viability score

66/100
Monitor

How well maintained and how widely used is Mega? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
100
Site health
95
User sentiment
48
What the vendor publishes
20

Last calculated: November 2026

How we score →

What do users say about Mega?

What people actually say about Mega — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

Researched

Discussed by users across 7 sources (Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, Lemmy) · researched Nov 8, 2026.

46% positive54% critical

Weighted by the 110 posts each of 7 sources contributed.

Recurring strengths
  • +Captures agent sessions, checkpoints and redacted transcripts directly against repo history
  • +Ships capture hooks for Claude Code, Codex and OpenCode out of the box
  • +ScorpioFS mounts remote monorepo paths on demand instead of paying full clones per agent
  • +Git Smart HTTP clone/fetch/push keeps existing Git tooling and workflows intact
  • +ImportRepo cleanly isolates third-party code from the public main trunk
Recurring frustrations
  • −Zero substantive community feedback exists — every 'Mega' post is about something else
  • −Self-hosting Postgres plus object storage plus a Rust server is a real operational burden
  • −No public benchmarks prove ScorpioFS beats plain clone times at scale
  • −Free edition drops the Web UI and Change List, undercutting the advertised experience
  • −Read-only SSH and missing polish push it firmly toward advanced operators
Patterns worth knowing
The 'Mega' name returns cloud-storage, Mega Man and slang noise rather than this monorepo engine
Seen on Hacker News, YouTube, Bluesky, Lemmy, App Store
AI agent tooling churn — users keep hopping between IDE/TUI layers over Anthropic and OpenAI
Seen on Hacker News
Privacy and data-control anxiety around big AI vendors and hosted storage
Seen on Hacker News, YouTube
Learning curve
advancedProductive in ~Days of setup
Hidden costs people mention
  • • Infrastructure for Postgres plus object storage
  • • Engineering time to operate, back up and upgrade a stateful backend
  • • FUSE latency risk that may force larger caching nodes

How we verified this

Every listed fact about Mega — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 4 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.

Verification history

We have re-verified Mega 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — changed pricing page, limitations
  2. — changed our verdict, pricing tiers, description, features, summary
  3. — changed our verdict, who should skip it, integrations, summary, features, description, pricing tiers
  4. — changed pricing page, platforms
  5. — changed who it suits, features, our verdict, summary, description, pricing tiers, who should skip it
  6. — changed pricing page

Showing the 6 most recent of 11 verification passes.

Free to cite with attribution — this page re-verifies continuously.

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How much does Mega cost in 2026?

Mega: Free to use. Pricing last verified 4 Nov 2026.

Plans compared

Every published Mega tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.

Mega pricing plans compared
PlanPriceBillingWho it's for
CommunityFree—Platform teams evaluating an agent-first monorepo backend who are comfortable self-hosting Rust, Postgres and object storageAdds: Free open-source entry point: Mega2 server in trunk/storage-only mode, ScorpioFS virtual workspaces and Libra session capture, without the Web UI or Change List

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • The community edition excludes the Web UI and Change List, so anything you build around those surfaces is extra engineering on your side
  • Running Mega2 yourself means paying for Postgres, object storage and the compute to host it, none of which appears on a vendor invoice
  • Agent session capture is opt-in via the HTTP API and Libra hooks, so realizing the context benefit costs setup work per client rather than switching on by default
  • ScorpioFS mounts remote paths for development tools and agents, and on-demand access puts a network round trip on file reads that a local clone would not

Where the pricing makes sense

The company stage and team size where Mega's pricing actually pencils out — and where peers do it cheaper.

Mega2's community edition is open source under MIT and Apache-2. For a platform team already running that infrastructure, that is often cheaper than per-seat hosting at monorepo scale; for a small team without ops capacity, the free code is the cheap part.

Hidden-cost and price-fit notes generated

Has Mega's pricing changed?

No plan price for Mega has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.

Who should pick Mega?

Pick Mega if you are Platform engineers building toolchains for AI coding agents, Teams running several agents against one large monorepo, Organizations that want agent session context stored alongside code, Teams replacing full clones with on-demand FUSE-mounted workspaces.

Look elsewhere if you are Individual developers with small projects, Teams committed to multi-repo workflows, Anyone needing a fully hosted service rather than self-run infrastructure, Teams requiring managed uptime guarantees for version control.

Skip it if Skip Mega2 if you want a hosted version-control service you don't operate, or if your repos are small enough that a normal clone and a chat window are sufficient context for your agents.

Generated

Real-world workflow fit

Concrete scenarios for the personas Mega actually fits — and what changes day-one when you adopt it.

Platform engineer at a company running several coding agents

You pull the Compose file from gitmega.ai, start Mega2 locally with Docker Compose, and complete a first Git push against the trunk-based main path before wiring ScorpioFS into an agent workspace.

Outcome: A working Git-compatible monorepo backend on Postgres and local object storage, with an evaluation path for on-demand mounts instead of full clones.

AI agent developer who needs the reasoning behind each change

You enable Libra's capture hooks for Claude Code, Codex or OpenCode, point them at the Mega2 HTTP API, then browse session and checkpoint history from the Libra terminal UI.

Outcome: Session records, checkpoint metadata and redacted transcripts sit alongside the code history, so the next agent or reviewer can see intent and verification, not just the diff.

Infrastructure lead consolidating artifact storage

You configure Mega2 with S3-compatible object storage so Git objects, LFS large files, build artifacts and OCI container images share one backend behind a single Git host.

Outcome: Four artifact classes on one platform with one storage layer to size, back up and monitor.

Workflow scenarios generated

Use cases

  • Give coding agents a single global view of code spread across what used to be multiple repos
  • Mount a large monorepo through ScorpioFS instead of cloning it for every agent workspace
  • Capture Claude Code, Codex or OpenCode sessions so the reasoning behind a diff stays with the repo
  • Store Git objects, LFS files, build artifacts and OCI images on one shared object store
  • Run a Git-compatible trunk-based monorepo where developers keep their existing Git habits
  • Stand up a local evaluation stack with the Docker Compose file and complete a first push

Setup time & first value

How long it actually takes to get something useful out of Mega — broken out by persona, not the marketing-page minute.

The documented path is quick if Docker is already in place: download the Compose file, run it, and reach the local instance at 127.0.0.1:9000, then do a first push. Budget an afternoon for a real repo with monorepo path and main-trunk rules, and longer if you add Libra hooks and ScorpioFS mounts. Expect days, not hours, before a team depends on it.

Switching to or from Mega

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From GitHub or GitLab: push existing history into Mega2 over Git Smart HTTP against the trunk-based main path
  • →From a multi-repo setup: consolidate application code into the monorepo and place third-party code in an ImportRepo
  • →From a plain Git server: point clients at Mega2's Git Smart HTTP endpoint and a read-only SSH endpoint
Migrating out
  • ↗To a hosted Git platform: Mega2 speaks Git Smart HTTP, so history clones out the same way it came in, though agent session records and checkpoints live in Mega2's own capture layer
  • ↗To a plain Git host: expect to lose the session-capture history and the ScorpioFS on-demand mount unless you rebuild them

Integrations

DockerS3-compatible object storagePostgresClaude CodeCodexOpenCode

Tutorials & Learning

YouTube returned 6 videos for “Mega”, and we withheld 6: 6 could not be judged, because “Mega” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Mega.

Official links

What are the best Mega alternatives?

The closest alternatives to Mega we list are Iii, Nubase and Coder. Ranked by direct product-type match, not category overlap.

Closest alternatives to Mega
AlternativePricingStarts atLast verified
IiiFreeFree—
NubaseFreeFree—
CoderFreemiumPricing not published—

Alternatives to Mega

View all
Iii

Iii

iii is an open-source distributed runtime that runs every function, service, and AI agent as a worker over one shared protocol.

FreeTry
Nubase

Nubase

Open-source, self-hosted backend your AI coding agent drives from chat to a live app

FreeTry
Coder

Coder

Self-hosted cloud development environments with governance for AI coding agents — Coder keeps the control plane on your infrastructure

FreemiumTry

Tools that pair well with Mega

Common stack mates teams adopt alongside Mega, with the specific reason each pairing earns its keep.

Mega vs its closest rival

Mega's closest head-to-head is with Spider Cloud.

Our Mega vs Spider Cloud verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.

Frequently asked questions

For makers of Mega

Used Mega? Help shape our editorial sentiment research.