Moving agent orchestration from code to configuration
Define the orchestration setup you want in YAML, and let Omnigent handle the sessions, messaging, isolation, and policy enforcement that make it run.
Blog
Product updates and feature deep-dives from the Omnigent team.
Stop Surprise LLM Bills With Production-Ready Cost Controls
How Omnigent keeps LLM spend predictable: smart routing, progressive budgets, custom pricing for self-hosted models, and per-model usage tracking.
Allow, ask, deny: contextual policies in Omnigent
An introduction to Omnigent policies: contextual ALLOW/ASK/DENY guardrails for AI agents, with built-in, custom Python, and CEL examples.
Meta-Harness: the Missing Layer Above Claude Code, Codex, and Pi
Use Claude Code, Codex, Pi, and other coding agents together through one shared orchestration, collaboration, and policy layer.
Feature notes
Short posts spotlighting individual Omnigent features.
Install a custom agent once from GitHub and use it on every host
Install a custom agent with omnigent agent add from a local directory, a bundle, or a GitHub repo. It is stored under your account and shows up in the new-session picker on every host you use.
Read your agent's pull or merge request in the session
Read GitHub and Azure DevOps pull requests or GitLab merge requests alongside your agent's conversation. Inspect descriptions, comments, CI results, and file diffs in Omnigent's read-only Pull Requests tab.
Give your agents built-in structured web research and extraction
Enable nimble_research and nimble_extract by name in your agent spec: your agents can run cited web research and pull structured data off live pages, no glue code required.