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ToolExperimental
agenix
by ahmadexe
Flutter framework for on-device multi-agent orchestration
Dart
Updated Jul 2, 2026
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Overview
Enable multi-agent AI orchestration inside Flutter apps without a backend. Agents can call tools, chain tasks, and exchange messages directly on-device while remaining agnostic to LLM provider. Includes patterns for agent-to-agent conversation and task delegation tailored for mobile and cross-platform UI integration, following the Tool Use Pattern.
Key Benefits
As agents move onto client devices, being able to run multi-agent workflows locally highlights new trust and evaluation challenges—who did what and why on a user's device. Agenix makes those interactions observable and repeatable in mobile contexts, letting developers prototype agent delegation and interaction patterns before adding external reputation or evaluation layers. It fills a gap for on-device orchestration that can later feed into agent-to-agent evaluation and reputation systems. This aligns with the Agent Service Mesh Pattern for coordinating agents on-device, and with the Evaluation-Driven Development Pattern to structure observable, testable workflows.
Ideal For
Mobile and cross-platform app teams prototyping multi-agent workflows and agent delegation without a backend, leveraging patterns like the A2A Protocol Pattern for agent-to-agent interactions.
Real-World Examples
- Prototype agent delegation and task chaining inside mobile apps without server infrastructure
- Run and demo multi-agent interactions locally to capture interaction logs for later evaluation
- Build cross-platform agentic interfaces where agents call tools and coordinate subtasks
Works With
openaianthropichuggingface
Topics
agentic-aiagentic-appagentic-frameworkagentic-workflowaiai-agentscross-platformdart-packagefluttergenerative-ai+8 more
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Keywords
multi-agent orchestrationmulti-agent trustagent delegationflutter