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  1. Home
  2. 🧠 Knowledge & Memory
  3. Neurohive
Neurohive logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 10:02:53 AM

Neurohive

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Multi-agent memory intelligence with expertise tracking and conflict detection

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "neurohive": {
      "command": "npx",
      "args": [
        "-y",
        "neurohive"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (16) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Capabilities & Tool Schemas (16) ~201 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Neurohive.

store_memory

Store memory with hive annotations

search_memory

Hybrid search with cross-agent attribution

recall_memory

Recall by ID, namespace, category, or tags

forget_memory

Soft-delete memories by filter

consolidate

Merge duplicates, decay stale, prune low-value

memory_stats

Count, category, and trust-level statistics

Documentation Overview

neurohive

Multi-agent memory intelligence β€” shared knowledge, expertise tracking, and conflict detection for AI agent teams.

npm version license node

Why

AI agents in teams forget everything and don't share knowledge. Multiple agents working on the same project re-discover the same facts, contradict each other, and have no collective memory. One agent learns the API timeout is 30 seconds; another assumes 60. Both conclusions sit in separate sessions, never compared.

neurohive wraps neuromcp with a shared intelligence layer. Every memory stored by any agent becomes visible to the team. Searches come back annotated with who discovered what and when. New agents onboard with the team's existing knowledge already loaded. Contradictions get flagged before they cause incidents.

Before & After

neuromcp aloneWith neurohive
Agent knowledgeIsolated per sessionShared across team, attributed
Search resultsRaw resultsAnnotated with "discovered by Agent-X, 3 min ago"
New agent onboardingStarts from zeroPrimed with team's top knowledge
ExpertiseUnknown who knows whatTracked: "Agent-Backend: API (31), Auth (22)"
ContradictionsSilently coexistFlagged: "Backend says 30s timeout, DevOps says 60s"
Team overviewNoneDashboard with knowledge map, gaps, activity

Quick Start

Terminal
npx neurohive

Drop-in replacement for npx neuromcp. Use the same MCP config β€” just swap the command. All neuromcp tools and resources are available unchanged, plus three new neurohive tools, five new resources, and automatic cross-agent annotation.

Features

Cross-Agent Annotations

Every search result is annotated with provenance: which agent stored it, how long ago, and how many times it's been retrieved. Agents can see at a glance whether a memory came from a trusted teammate or an unknown source.

Agent Priming

When an agent starts up, it reads the hivemind://priming resource to load the team's top knowledge, recent activity, and known gaps. No cold starts.

Expertise Tracking

Every time an agent stores a memory, neurohive updates that agent's expertise profile β€” tracking which categories they contribute to most. Use hivemind_expertise to route questions: "who knows the most about authentication?"

Conflict Detection

When two agents store contradictory claims about the same fact, neurohive flags it as a conflict. Conflicts surface in hivemind_conflicts and in the dashboard so the team can resolve them explicitly rather than letting stale data propagate silently.

Dashboard

A single command gives a live view of the collective knowledge base: total memories, active agents, top categories, recent activity, unresolved conflicts, and knowledge gaps.

Installation

Claude Code

config.json
{
  "mcpServers": {
    "neurohive": {
      "command": "npx",
      "args": ["neurohive"],
      "env": {
        "HIVEMIND_COMPANY": "my-project",
        "HIVEMIND_AGENT": "Agent-Backend",
        "HIVEMIND_AGENT_ROLE": "backend"
      }
    }
  }
}

Claude Desktop

config.json
{
  "mcpServers": {
    "neurohive": {
      "command": "npx",
      "args": ["-y", "neurohive"],
      "env": {
        "HIVEMIND_COMPANY": "my-project",
        "HIVEMIND_AGENT": "Agent-Frontend"
      }
    }
  }
}

Cursor

config.json
{
  "mcpServers": {
    "neurohive": {
      "command": "npx",
      "args": ["neurohive"],
      "env": {
        "HIVEMIND_COMPANY": "my-project",
        "HIVEMIND_AGENT": "Cursor-Agent"
      }
    }
  }
}

Paperclip Mode

When Paperclip is running locally, neurohive detects it automatically and reads the company, agent, and role from the Paperclip API. No extra env vars needed β€” the company namespace is set from the active Paperclip company, and each agent is identified by its Paperclip identity.

Manual fallback (when Paperclip is not running):

Code
HIVEMIND_PAPERCLIP_URL=http://localhost:3100   # default
HIVEMIND_COMPANY=my-project
HIVEMIND_AGENT=Agent-Backend
HIVEMIND_AGENT_ROLE=backend

CLI Commands

CommandDescription
neurohiveStart as MCP server (stdio)
neurohive dashboardPrint team knowledge dashboard
neurohive expertise [topic|agent_id]Show expertise map or look up a topic/agent
neurohive conflicts [--all]List unresolved conflicts (--all includes resolved)
neurohive doctorHealth check: DB path, agent config, Paperclip status

Configuration

neurohive variables

VariableDefaultDescription
HIVEMIND_COMPANY""Company/project name. Sets the shared namespace to company-<name>
HIVEMIND_AGENT""Agent identifier (e.g. Agent-Backend, Agent-DevOps)
HIVEMIND_AGENT_ROLE""Agent role label for priming context
HIVEMIND_PAPERCLIP_URLhttp://localhost:3100Paperclip API URL for auto-detection
HIVEMIND_PRIMING_COUNT10Number of top memories to include in priming context
HIVEMIND_PRIMING_CATEGORIES""Comma-separated categories to prioritize in priming

neuromcp pass-through

All NEUROMCP_* environment variables pass through unchanged. Key ones:

VariableDefaultDescription
NEUROMCP_DB_PATH~/.neuromcp/memory.dbSQLite database path
NEUROMCP_LOG_LEVELinfoLog level: debug, info, warn, error
NEUROMCP_EMBEDDING_PROVIDERlocalEmbedding provider: local, openai, ollama
OPENAI_API_KEYβ€”Required when using OpenAI embeddings

MCP Surface

neurohive exposes 16 tools, 18 resources, and 3 prompts.

Tools

13 neuromcp tools (unchanged):

ToolDescription
store_memoryStore memory with hive annotations
search_memoryHybrid search with cross-agent attribution
recall_memoryRecall by ID, namespace, category, or tags
forget_memorySoft-delete memories by filter
consolidateMerge duplicates, decay stale, prune low-value
memory_statsCount, category, and trust-level statistics
export_memoriesExport as JSONL or JSON
import_memoriesImport with deduplication
backfill_embeddingsRecompute missing embeddings
create_entityCreate/update knowledge graph entity
create_relationLink entities in knowledge graph
query_graphTraverse knowledge graph
search_claimsSearch atomic extracted claims

3 neurohive tools:

ToolDescription
hivemind_statusTeam dashboard: agents, categories, conflicts, activity
hivemind_expertiseQuery who knows what; get agent expertise profiles
hivemind_conflictsList/resolve inter-agent contradictions

Resources

13 neuromcp resources (memory, graph, priming, stats) plus 5 neurohive resources:

Resource URIDescription
hivemind://primingStartup context: dashboard + top knowledge for onboarding
hivemind://expertiseAll agent expertise data as JSON
hivemind://conflictsUnresolved conflicts as JSON
hivemind://dashboardFull dashboard data as JSON
hivemind://agent/{agentId}Expertise profile for a specific agent

Prompts

3 neuromcp prompts: store_memory_prompt, search_memory_prompt, session_summary_prompt.

Paperclip Integration

neurohive probes HIVEMIND_PAPERCLIP_URL on startup. If the Paperclip API responds:

  1. Namespace is set to company-<companyId> β€” all agents on the same Paperclip company share one knowledge base.
  2. Agent identity is read from the Paperclip agent record, so each agent in a fleet is automatically identified.
  3. Role is pulled from the agent definition, used to enrich priming context ("you are the backend agent; here's what your team knows").

If Paperclip is not running, neurohive falls back to HIVEMIND_COMPANY / HIVEMIND_AGENT env vars with no loss of functionality.

Requirements

RequirementRequiredNotes
Node.js >= 18YesESM runtime
neuromcpYesInstalled automatically as a dependency
PaperclipNoAuto-detected when running at the configured URL
OpenAI API keyNoOnly if using OpenAI embeddings

Platform Support

PlatformStatus
macOSFull support
LinuxFull support
WSL2Supported
Windows (native)Not supported

FAQ

Is this a replacement for neuromcp? Yes and no. neurohive runs on top of neuromcp and re-exports all its tools, resources, and prompts. If you run a single agent, it's functionally identical to neuromcp with a few extra tools. The value emerges with two or more agents sharing the same HIVEMIND_COMPANY namespace.

Do all agents share one database? Yes β€” agents in the same company namespace share a database via the shared filesystem path (NEUROMCP_DB_PATH). This works naturally in multi-agent setups on the same machine (Paperclip, dmux, parallel Claude Code sessions). For distributed setups, point all agents to a shared NFS or networked path.

What counts as a conflict? When two memories from different agents make contradictory claims about the same subject. Conflict detection runs at store time using the cognitive claims extracted from memory content. You can tune sensitivity or disable it via the neuromcp config.

Will it break my existing neuromcp setup? No. neurohive passes all existing NEUROMCP_* env vars through unchanged and writes to the same database. Switching back to npx neuromcp works at any time.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Tools exposed
16
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Neurohive

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "neurohive": { "command": "npx", "args": ["-y","neurohive"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedApr 16, 2026
4/5 checks healthy over the last 45d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 16, 2026
47Quality signal: Fair Β· 47/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 2d ago via OSV.dev Β· neurohive (npm)

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