agentscope
★ 33.7k
vs
hive-mind
★ 71
agentscope vs hive-mind
agentscope: AgentScope is a production-ready, easy-to-use agent framework designed for increasingly agentic LLMs. It offers essential abstractions, built-in support for finetuning, and flexible multi-agent orchestration for various deployment environments.; hive-mind: HiveMind is a local-first, peer-to-peer shared memory system designed for AI agents, allowing them to collectively learn and coordinate without a central server. It builds trust through independent corroboration and manages decisions and outcomes, ensuring agents can leverage collective intelligence.
01
TL;DR
agentscopeMulti-Agent · ★ 33.7k
When to choose:
- You want composable Python 3.11+ building blocks (ReAct loop, toolkit, pipelines, A2A, realtime voice) with bilingual documentation.
- You use Chinese model providers (DashScope, DeepSeek, Volcengine) alongside global APIs under an Apache-2.0 license.
When to skip:
- You rely on v1.x AgentScope code and do not want to migrate to the redesigned v2.0 architecture.
- You need Python 3.10 or .NET support; AgentScope 2.0 requires Python 3.11+.
hive-mindMulti-Agent · ★ 71
AI Agent Memory and Coordination
02
Side-by-Side Comparison
Field
agentscopehive-mindCategory
Multi-Agent
Multi-Agent
Stars
★ 33.7k
★ 71
License
Apache-2.0
AGPL-3.0
Install Command
uv pip install agentscope
curl -fsSL https://raw.githubusercontent.com/projectmentor/hive-mind/main/scripts/installer/install.sh | bash && hive-mind install
Updated
1d ago
5d ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
AI agents, decentralized memory, peer-to-peer
03
Features
agentscope01Easy-to-use with built-in ReAct agents, tools, and human-in-the-loop steering.
02Extensible with broad ecosystem integrations, MCP, and A2A protocol support.
03Production-ready for local, serverless, or Kubernetes deployments with OTel support.
04Voice-enabled agents capable of speech understanding and response.
05Seamless integration with Reinforcement Learning for agent tuning.
hive-mind01Automatic Peer-to-Peer Synchronization
02Trust Model Based on Independent Corroboration
03Decentralized Coordination (CRDT-based)
04Learning from Outcomes and Utility Tracking
05Local Full-Text Search
04
Use Cases
agentscope↳Developing multi-agent collaborative applications and strategic games.
↳Building agents with advanced tool-use capabilities and multi-step reasoning.
↳Tuning agent performance using Reinforcement Learning for continuous improvement.
hive-mind↳AI Agent Memory and Coordination
↳Knowledge Sharing Across Multiple Agents/Machines
↳Decentralized Decision Tracking and Learning
↳Building Trustworthy Multi-Agent Systems
05
Best For
agentscopeMost PopularEssentialTrending
hive-mind—
FAQ
FAQ
What is the difference between agentscope and hive-mind?
Both agentscope and hive-mind are in the Multi-Agent category. agentscope has 33.7k stars, while hive-mind has 71 stars.
Which is better, agentscope or hive-mind?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and hive-mind if AI Agent Memory and Coordination.
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is hive-mind free or open source?
Yes, hive-mind is open source on GitHub (AGPL-3.0).
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