Web + CLI + API agent workspace

AgInTi Flow local-first agents for real projects

AgInTiFlow is a local-first, project-aware workspace with visible tools, resumable sessions, guarded execution, and explicit hosted-model routes.

$ npm install -g @lazyingart/agintiflow
$ aginti web --port 3210

Routing lane LocalLLM Fast

Local planning and task routing without silently selecting a hosted provider.

Main lane LocalLLM Deep

Substantive local agent work, with hosted routes available only when explicitly chosen.

Safe execution Docker + policy

Read-only by default, explicit approval for setup commands.

Real screenshots from the local app

Daily agent work should feel inspectable, not mysterious.

The carousel uses screenshots captured from the live AgInTiFlow app running at http://127.0.0.1:3210/.

Platform shape

One runner, multiple model and tool routes.

01

Smart routing

LocalLLM Fast routes work and LocalLLM Deep handles substantive tasks. Hosted providers remain explicit optional routes.

02

Wrapper tools

Codex, Claude, Gemini, Copilot, and Qwen wrappers are optional advisory tools, not hard dependencies.

03

Safe file tools

List, read, search, write, and patch workspace files with path guardrails, hashes, and compact diffs.

04

Mock mode

Local mock routing verifies UI, API, tool execution, and CI smoke paths without DeepSeek or OpenAI credentials.

Runtime documentation

Choose the right execution mode for the job.

AgInTiFlow documents Docker sandboxing, host full-access mode, durable tmux sessions, package installs, and rolling-plan autonomy as first-class product behavior.

Safety model

Useful automation with explicit boundaries.

AgInTiFlow keeps local commands guarded by an allowlist, stores resumable run history, and exposes sandbox status through APIs that do not leak API keys or npm tokens.

A Web, CLI, and API workspace for agents that work across creative, scientific, software, hardware, and industrial projects with guarded tools, durable sessions, SCS supervision, and AAPS workflows.