Omnigraph is an open-source object-storage native graph database with branching and typed ontology. It allows AI agents safely collaborate on shared knowledge. Give agents one typed graph with Git-like branching, review, and merge for every write, so changes can be validated before becoming shared context. Run it on your own S3-compatible storage, with semantic, keyword, and hybrid search plus graph traversal in one query. No hosted memory API or proprietary storage required.
Hi Product Hunt 👋 Omnigraph is an open source graph database where agents can safely collaborate and write to the same graph.
It has a typed ontology, branches and time travel, and hybrid search with graph traversal in the same query. Your graph lives in your own object storage in an open format.
More and more work inside a company is done by agents. They read the same data, write to it, make decisions on it, act on it. Without one shared world model they can trust, every agent ends up with its own version of the truth.
Omnigraph is a foundation for that shared world model. You can use it to build:
a company brain: people, projects, decisions, how they connect, all kept current by agents
context graphs for agents that work together on the same job
research graphs: papers, claims and the evidence behind them
Omnigraph launched on Product Hunt on November 12th, 2026 and earned 138 upvotes and 10 comments, earning #3 Product of the Day. Omnigraph is an open-source object-storage native graph database with branching and typed ontology. It allows AI agents safely collaborate on shared knowledge. Give agents one typed graph with Git-like branching, review, and merge for every write, so changes can be validated before becoming shared context. Run it on your own S3-compatible storage, with semantic, keyword, and hybrid search plus graph traversal in one query. No hosted memory API or proprietary storage required.
On the analytics side, Omnigraph competes within Open Source, Developer Tools and Database — topics that collectively have 594.3k followers on Product Hunt. The dashboard above tracks how Omnigraph performed against the three products that launched closest to it on the same day.
Who hunted Omnigraph?
Omnigraph was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Omnigraph including community comment highlights and product details, visit the product overview.
Ben Lang
Hi Product Hunt 👋 Omnigraph is an open source graph database where agents can safely collaborate and write to the same graph.
It has a typed ontology, branches and time travel, and hybrid search with graph traversal in the same query. Your graph lives in your own object storage in an open format.
⭐ GitHub (MIT): github.com/ModernRelay/omnigraph
What can you use it for
More and more work inside a company is done by agents. They read the same data, write to it, make decisions on it, act on it. Without one shared world model they can trust, every agent ends up with its own version of the truth.
Omnigraph is a foundation for that shared world model. You can use it to build:
a company brain: people, projects, decisions, how they connect, all kept current by agents
context graphs for agents that work together on the same job
research graphs: papers, claims and the evidence behind them
You can check template ready-to-run graphs with real seed data (company brain, VC operating system, industry intel, beads): https://github.com/ModernRelay/omnigraph-cookbooks
What you get
Agents don't overwrite each other. Each one writes on its own branch, and you can review the changes before they reach main.
You always know who changed what and when, and you can see the graph as it was last week.
You define granular permissions to agents and humans in code.
Your schema says what can exist, and writes that don't fit are refused.
Agents find things by meaning or by keyword, then follow the connections over graph, in one query.
The graph lives in your own S3 bucket as open files you can take anywhere.
Every company needs a context layer, and we built Omnigraph to be the foundation for it.
Try it
The fastest way is to let your agent do it. Paste this into Claude Code, Codex or any coding agent:
Thanks @benln for hunting us! The whole team is here all day: @ragnor, @altshuler, @pronskiy, @azim_afroozeh. Ask us anything!