Google Agent Development Kit (ADK) vs Vigla

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Google Agent Development Kit (ADK) Agents	Vigla Agents
Tagline	Google's open-source framework for building, evaluating, and deploying production AI agents	Open-source mission control for AI coding agents
Category	Agents	Agents
Pricing	Free· Framework itself is free and open-source (Apache 2.0). Costs come from the underlying model provider (e.g. Gemini API / Vertex AI usage) and any hosting infrastructure (Cloud Run, GKE, Agent Engine).	Free· Free and open source under Apache-2.0. No paid tiers; users build from source.
Model	Gemini (default) plus Claude, GPT-4/5, Llama, and other providers via LiteLLM	Model-agnostic (delegates to the underlying agent's LLM: Claude, GPT, etc.)
Editorial score	—	—
Use cases	Multi-agent research assistantCustomer support triage agentRAG chatbot backed by Vertex AI SearchCode review and refactoring agentBigQuery natural-language analytics agentDocument processing pipelineVoice/streaming conversational agentInternal tool-use agent orchestrating APIsEvaluation and regression testing of LLM workflowsEnterprise workflow automation on Agent Engine	Supervising multiple AI coding agents in parallelPre-merge audit of agent-generated diffsIsolating agent work in per-mission git worktreesRolling back an agent mission that went wrongComparing Claude Code vs Codex CLI on the same taskKeeping AI coding governance fully local with no telemetryAuditable trail of what an agent changed and why
Pros	Genuinely open-source (Apache 2.0) with active Google engineering behind it, not a hosted-only product Multi-language: first-class Python, Java, and Go SDKs — rare among agent frameworks that are usually Python-only Built-in dev UI (`adk web`) with trace inspection, event stream, and session replay speeds up debugging enormously Model-agnostic via LiteLLM — Gemini is default but Claude, GPT, and local models plug in cleanly Rich multi-agent primitives out of the box: SequentialAgent, ParallelAgent, LoopAgent, and hierarchical sub-agents Tight Google Cloud integration for deployment (Cloud Run, GKE, Agent Engine) plus native BigQuery/Vertex Search tools Evaluation harness with trajectory-level scoring is included, not a separate paid add-on First-class MCP (Model Context Protocol) client and server support	Cross-vendor: coordinates Claude Code, Codex CLI, Antigravity, and other coding agents from one cockpit Isolated git worktrees per agent prevent parallel workers from stepping on each other Pre-merge audit checks scope, tests, and risk before changes reach your main branch Full mission audit trail with reversible rollback for anything that ships Local control plane, no telemetry, no cloud dependency, Apache-2.0 licensed Model-agnostic — you keep using whatever LLM your chosen agent already ships with
Cons	Documentation and examples lean heavily on Gemini + Google Cloud; non-Google paths work but feel like second-class citizens API surface is still evolving — breaking changes between minor versions have been common through 2025-2026 Multi-agent orchestration primitives are powerful but the graph/callback model has a real learning curve compared to a plain prompt loop Agent Engine deployment is convenient but locks you into GCP billing and quotas TypeScript/Kotlin support lags the Python SDK in features and community examples	macOS 12+ only today; no Linux or Windows builds No pre-built binaries — requires a Rust/Node/pnpm/Xcode toolchain build from source Early-stage project with a small footprint and limited documentation compared to established agent frameworks No hosted or team collaboration layer; state lives on the operator's laptop No external API for programmatic control from other systems
Website	google.github.io	kilbex.github.io

Pick Google Agent Development Kit (ADK) if

✅ Genuinely open-source (Apache 2.0) with active Google engineering behind it, not a hosted-only product
✅ Multi-language: first-class Python, Java, and Go SDKs — rare among agent frameworks that are usually Python-only
✅ Built-in dev UI (`adk web`) with trace inspection, event stream, and session replay speeds up debugging enormously
✅ Model-agnostic via LiteLLM — Gemini is default but Claude, GPT, and local models plug in cleanly

Pick Vigla if

✅ Cross-vendor: coordinates Claude Code, Codex CLI, Antigravity, and other coding agents from one cockpit
✅ Isolated git worktrees per agent prevent parallel workers from stepping on each other
✅ Pre-merge audit checks scope, tests, and risk before changes reach your main branch
✅ Full mission audit trail with reversible rollback for anything that ships

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