AgentIndex icon
AgentIndex
concord-mcp logo
concord-mcp
★ 617
vs
hive-mind logo
hive-mind
★ 71

concord-mcp vs hive-mind

concord-mcp: Concord MCP is an open-source, local-first communication and coordination layer designed for AI coding agents. It enables different agents to communicate, share work-state, detect overlaps, and manage task handoffs within a shared repository.; 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

concord-mcp logo
concord-mcpMulti-Agent · ★ 617

Enabling multiple AI coding agents to collaborate on a single project by facilitating direct communication and shared understanding.

Read concord-mcp full review →
hive-mind logo
hive-mindMulti-Agent · ★ 71

AI Agent Memory and Coordination

Read hive-mind full review →
02

Side-by-Side Comparison

Field
concord-mcp logoconcord-mcp
hive-mind logohive-mind
Category
Multi-Agent
Multi-Agent
Stars
★ 617
★ 71
License
MIT
AGPL-3.0
Install Command
npm install -g @concord-ai/concord-mcp && concord setup
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
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Collaboration, Work-state Management
AI agents, decentralized memory, peer-to-peer
03

Features

concord-mcp logoconcord-mcp
01Live Inter-Agent Messaging: Agents can send direct, replyable prompts across supported clients.
02Shared Work-State Management: Provides a shared workspace for agents to manage presence, task memory, and ownership.
03Overlap Detection: Agents can claim files and modules before work begins to prevent editing collisions.
04Explicit Task Handoffs: Facilitates explicit assignments, handoffs, and review states with retained context and evidence.
hive-mind logohive-mind
01Automatic 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

concord-mcp logoconcord-mcp
↳Enabling multiple AI coding agents to collaborate on a single project by facilitating direct communication and shared understanding.
↳Preventing conflicting edits by agents by detecting overlapping work areas and managing file ownership.
↳Streamlining the handoff of tasks between different agents, ensuring continuity and retaining decision context for review.
hive-mind logohive-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

concord-mcp logoconcord-mcp
TrendingHidden Gem
hive-mind logohive-mind
—
FAQ

FAQ

What is the difference between concord-mcp and hive-mind?
Both concord-mcp and hive-mind are in the Multi-Agent category. concord-mcp has 617 stars, while hive-mind has 71 stars.
Which is better, concord-mcp or hive-mind?
The best choice depends on your use case. Choose concord-mcp if Enabling multiple AI coding agents to collaborate on a single project by facilitating direct communication and shared understanding., and hive-mind if AI Agent Memory and Coordination.
Is concord-mcp free or open source?
Yes, concord-mcp is open source on GitHub (MIT).
Is hive-mind free or open source?
Yes, hive-mind is open source on GitHub (AGPL-3.0).
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Related

Alternatives to concord-mcp →Alternatives to hive-mind →concord-mcp details →hive-mind details →