Understand & plan
Requirements are broken down into a task graph with dependencies, priorities, milestones, and alternative paths — even large development tasks stay structured.
Framework
An orchestration and governance layer above any model
Argo doesn't tie itself to any single model or vendor. The framework combines task graphs, structured deliberation, independent verification, targeted context, and explainable model routing into one controllable system.
Route & execute
A scheduler and replanner decide which agents and models are needed and how deep an analysis has to go. Simple tasks: one agent. Complex ones: multiple reasoning and verification phases.
Verify & secure
Independent verification instances check merged results; repair or verification runs kick off when needed. The goal is measurable quality gain, not activity.
Architecture
The building blocks of the framework
Clearly separated layers: UI, service layer, orchestration, provider integration, security, and data storage are decoupled — and the application keeps working even without an internet connection.
Structured collective intelligence
Agents independently develop hypotheses, gather evidence, identify contradictions, and revise positions. The added value over the best single agent is measured as a Collective Intelligence Lift and dynamically steers collaboration.
Context packages instead of whole repos
An incremental index of files, symbols, dependencies, and references delivers targeted context packages per task — only the information that's likely relevant, with a documented rationale for the selection. Context costs stay under control.
Explainable model selection
Multiple cloud providers and local models run in parallel; routing, escalation, caching, and budget control minimize the price per successful result. Traceable: which models were considered, which were excluded — and why.
No unchecked execution
Workspace protection against access outside the approved folder, allowlists of permitted programs, shell-less processes, timeouts, sandboxing, and Git worktrees for patch-first changes. Policy-as-code governs network access, providers, cost, and installations.
Timeline, replay, audit
Every run logs context sources, model decisions, costs, file access, checks, and error handling. Replay reconstructs decision paths; audit exports with redaction profiles provide compliance evidence.
Your data stays with you
Projects, chats, runs, memory, skills, and audit data are stored locally; API keys stay encrypted on the device. A separate server handles only account, license, billing, updates, and entitlements — editions can be verified offline.
Depth instead of a black box
From the task graph to the audit export: every part of the framework is built so you can see what's happening — and step in before it happens.