AIAny
AI Agent2026
Icon for item

mngr

CLI for creating, running, and managing coding agents across local hosts, containers, and cloud sandboxes. Uses SSH, git, and tmux; supports snapshots, push/pull, auto-shutdown for cost control, and provider-agnostic workflows for developer-centric agent orchestration.

Introduction

Most agent tooling today is a hosted, opaque service that trades control for convenience. As teams experiment with dozens of coding agents and mixed providers, the hard problems become orchestration, isolation, and reproducible state — not model quality. mngr flips that tradeoff: it treats agents as first-class, Git-like resources you run on compute you control.

What Sets It Apart
  • Git-like agent lifecycle semantics — create, clone, snapshot, push/pull, and fork agent state so agent environments and histories are reproducible across hosts. This makes experimentation auditable and portable (so what: reduces drift when iterating on agent-driven changes).
  • Provider-agnostic, SSH-native architecture — agents run in tmux sessions on any SSH-accessible host (local, Docker, Modal, etc.). Built on familiar primitives (SSH, git, tmux), so teams avoid a locked-in managed control plane (so what: lowers onboarding friction and improves security posture).
  • Cost- and security-minded defaults — agents auto-shutdown when idle, support network allowlists, and use per-host SSH isolation (so what: easier to reason about inference spend and safer to run untrusted agents).
  • Developer-first UX — a terse CLI surface (create/list/connect/message/exec) with tab completion and programmatic messaging makes it easy to script and integrate agents into CI or local workflows (so what: faster iteration and straightforward debugging via direct SSH into agent sessions).
Who It's For and Tradeoffs

Great fit if you are a developer or small team who: wants to run many coding agents without a managed SaaS; needs reproducible agent state or the ability to snapshot/fork agent work; prefers simple, scriptable tooling built on SSH/git/tmux.

Look elsewhere if you need a polished multi-tenant web UI, enterprise-grade role-based access controls out of the box, or a fully managed hosted orchestration platform — mngr intentionally avoids a central managed control plane and relies on host-level tooling and provider integrations (tradeoff: more operational responsibility in exchange for control and transparency).

Where It Fits

Use mngr as the orchestration layer when you value provable isolation, reproducible agent state, and local-first experimentation. It pairs well with containerized providers (Docker, Modal) and can slot into CI pipelines or developer workstations where SSH access and simple lifecycle scripts are preferred.

Information

  • Websitegithub.com
  • AuthorsImbue AI
  • Published date2026/01/19

More Items

Hugging Face
AI Model2026

Open-weights LLM fine-tuned for phone-based voice agents that prioritizes low latency and reliable tool/function calling. Based on NVIDIA Nemotron 3 Nano (30B total, 3.5B active), supports very long contexts (262,144 tokens) and recommends temperature=0 with thinking disabled for deployment.

GitHub
AI Infra2025

Measures generative AI inference performance with token-level metrics (TTFT, inter-token latency), latency, and throughput under realistic traffic patterns. Provides a multiprocess engine, real-time TUI dashboard, extensible plugins, and integrations for telemetry and result uploads, aimed at inference benchmarking and capacity planning.

GitHub
AI Agent2026

A curated collection of production-ready Agent Skills that turn tasks—presentation production, image generation, local KB retrieval, article assembly, and web-design—into agent-loadable skill folders. Uses a SKILL.md contract, supports multiple agent runtimes (Claude Code, Cursor, Codex), and offers modular install paths with pinned release zips.