GradientHQ/symphony-coord

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1080 stars · 166 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Symphony-Coord is a decentralized multi-agent framework that treats agent selection as an online multi-armed bandit problem, allowing roles to emerge through interaction. It uses a three-stage pipeline of planning, beacon-guided LinUCB execution routing, and chain-of-thought voting to answer complex queries.

Use cases

• orchestrate multiple llm agents without a central coordinator
• route subtasks to specialized agents using bandit learning
• run multi-agent experiments and reproduce paper benchmarks
• generate benchmark data for multi-agent coordination research
• run agent swarms on consumer gpus like rtx 3060 or jetson
• aggregate agent answers with chain-of-thought majority voting

When to choose

• you need decentralized, fault-tolerant multi-agent orchestration
• you want adaptive agent selection that improves with experience
• you are researching emergent coordination in agent systems
• you need to run agents on edge or consumer-grade hardware

When to avoid

• you need a simple single-agent pipeline with fixed routing
• you require a mature production framework with enterprise support
• your workload has no benefit from learned agent selection
• you need non-Python environments

Facets

framework · maturity active

agent-framework machine-learning llm-inference benchmarking large-language-models machine-learning artificial-intelligence python windows multi-agent-systems multi-armed-bandit linucb decentralized chain-of-thought task-routing emergent-coordination ai-agents linux macos gpu

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