Omnigent
@omnigent_ai
A meta-harness for AI agents - more info at
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Install a custom agent once with omnigent agent add, and use it across hosts. It stays in your new-session picker on shared servers and cloud sandboxes too.
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Graph Reasoning for AI Agents: Omnigent + PuppyGraph with Zero ETL
If your agents open GitHub pull requests, you can review and merge them in the same Omnigent session. The Pull Requests tab used to be read-only.
Edit the title and description, manage labels and reviewers, leave comments, and merge with merge, squash, or rebase. Omnigent merges only the commit you were looking at. If the agent pushes again, the merge is refused.
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How does Omnigent build Omnigent? Look at the repo. A user reported a bug, our repro agent reproduced it about 2 hours later, and a resolver agent opened the fix PR.
@omnigent_ai
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⏰ Reminder: Join us this Wed, Nov 4 at 9AM PT!
Learn how to bring real-time graph reasoning to your AI agents with Omnigent + @puppyquery.
Skip the complex pipelines and dedicated databases, connect multi-hop relationships in your existing data tables with ZERO ETL and unified governance.
🎙️ Featuring Danfeng Xu (CTO, PuppyGraph) & hosted by @dennylee (PM Director, @databricks).
RSVP:
#Omnigent#
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When an MCP tool call fails, you shouldn't have to guess whether the server is up.
Type /mcp in the composer to see the session's MCP servers and whether each one is connected. If a service or host server needs you to sign in, a Sign in button appears inline so you can fix the connection and get back to the conversation.
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Omnigent 0.20 highlights:
→ /mcp reconnects a stuck tool server in one command
→ review and merge PRs without leaving your @omnigent_ai session
Release notes:
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Out of Claude credits, still have Codex credits?
Moving that session's context to Codex was really complicated. So they built @omnigent_ai, a meta-harness for AI agents.
@dennylee of @databricks
#AIAgents#
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Another micro-personalization: @omnigent_ai allows me to move a session between hosts. I patched the UI to make it simpler to move between all axes at once:
- Hosts
- Subscriptions
- Model
- Effort
if you'd like to patch your UI too!
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Context switching to GitHub just to ship an agent-generated PR breaks developer flow.
You can now manage the full PR lifecycle inside Omnigent:
• Merge PRs or toggle auto-merge
• Edit titles & markdown descriptions inline
• Assign labels & request reviewers
• Post comments
Everything stays in the Pull Requests tab next to your active session.
🔗 Details:
#Omnigent#
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Omnigent v0.20.0 is now available! 🎉
🔀 Merge, edit, label, and review PRs in the Pull Requests tab, including auto-merge off, reviewers, and comments
☁️ Databricks Sandboxes can run as managed hosts as you, with no SSH and no shared credential inside the Sandbox
🧩 Type /mcp in the composer to see a session's MCP servers and whether each is connected
#Omnigent# #OpenSource#
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Most of the work in my homegrown agent orchestration setups was plumbing: session lifecycles, message delivery, isolation, harness adapters.
@omnigent_ai handles that now, so my agent orchestration is pure configuration with no custom (fragile) code.
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Following a PR used to mean switching back to GitHub for reviewers and comments.
Omnigent’s Pull Requests panel now shows pending reviewers, review state, and a Comments tab with a count, plus color-coded authors in the thread.
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Teams keep adding agent harnesses. Claude Code, Codex, Cursor, and the rest each keep their own conventions, so observing a run across them is messy.
@2twitme walks through that harness layer, then how @omnigent_ai puts coding agents and custom agents behind one common API. From there, @opentelemetry traces land in MLflow so you can see how the agent actually behaved.
Watch the full walkthrough on how to trace and debug AI coding agents with Omnigent and MLflow.
🎥
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If you keep custom agents in a Git repo and run Omnigent on more than one machine, install an agent once with omnigent agent add and pick it from the new-session picker on every host you use.
Until now, a custom agent only became available by running a session with its spec file, and it belonged to that session. Installed agents are stored on the server under your account, so they sit beside the built-in agents on every host, with no server restart.
GitHub installs ask you to confirm first, since the repo’s config runs in your sessions.
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Wiring MCP tools into every agent by hand gets old fast, especially when the same accounts need to work on your laptop and in a sandbox.
If your server has an MCP registry configured, connect managed MCP accounts once in Settings, then choose which of their tools your agents can use. Those tools go through a server gateway whether the agent runs on a local host or in a sandbox, with the same policy checks either way.
👉 Learn more:
#Omnigent#
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📣 Join us Nov 4: Graph Reasoning for AI Agents.
Danfeng Xu, CTO of @puppyquery, will walk through Omnigent + PuppyGraph: graph reasoning on your existing tables, in real time, without moving a row. Skip the ETL. Keep unified governance.
Register 👇
#Omnigent# #PuppyGraph#
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Omnigent v0.19.0 is now available! 🎉
🔌 MCP registry and gateway: connect managed accounts in Settings, pick tools for local hosts or sandboxes through a server gateway with shared policy checks
🔐 Sandboxed agents use approved Git repos over SSH without receiving the key
🎚️ Set reasoning effort for Claude SDK and Codex SDK agents from the web composer
Release notes:
#Omnigent# #OpenSource#
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It's been getting a lot easier to manage custom agents in @omnigent_ai. You (or your agent, inside Omnigent) can Install a reusable custom agent with `omnigent agent add` and find it in the new-session picker across hosts.
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Web search still varies by harness. The same agent can get different results depending on where it runs.
Declare @nimble_search on Omnigent’s web_search builtin, and every harness underneath uses the same Nimble Search API.
On @databricks, governed internal data plus live web signals sit in one agent. What the company knows, plus what is happening right now.
🔗 Learn more:
#Omnigent# #Nimble# #AIAgents#
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