Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Multi-agent memory intelligence with expertise tracking and conflict detection
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
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在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"neurohive": {
"command": "npx",
"args": [
"-y",
"neurohive"
]
}
}
}在终端中运行这条命令
claude mcp add neurohive -- npx -y neurohive粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"neurohive": {
"command": "npx",
"args": [
"-y",
"neurohive"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"neurohive": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"neurohive"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 AdelElo13 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.2)于7个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Up-to-date docs for AI agents
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
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Multi-agent memory intelligence — shared knowledge, expertise tracking, and conflict detection for AI agent teams.
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.
| neuromcp alone | With neurohive | |
|---|---|---|
| Agent knowledge | Isolated per session | Shared across team, attributed |
| Search results | Raw results | Annotated with "discovered by Agent-X, 3 min ago" |
| New agent onboarding | Starts from zero | Primed with team's top knowledge |
| Expertise | Unknown who knows what | Tracked: "Agent-Backend: API (31), Auth (22)" |
| Contradictions | Silently coexist | Flagged: "Backend says 30s timeout, DevOps says 60s" |
| Team overview | None | Dashboard with knowledge map, gaps, activity |
npx neurohive
Drop-in replacement for npx neuromcp. Use the same MCP config — 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.
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.
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.
Every time an agent stores a memory, neurohive updates that agent's expertise profile — tracking which categories they contribute to most. Use hivemind_expertise to route questions: "who knows the most about authentication?"
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.
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.
{
"mcpServers": { "neurohive": { "command": "npx", "args": ["neurohive"], "env": { "HIVEMIND_COMPANY": "my-project", "HIVEMIND_AGENT": "Agent-Backend", "HIVEMIND_AGENT_ROLE": "backend" } } } }
{
"mcpServers": { "neurohive": { "command": "npx", "args": ["-y", "neurohive"], "env": { "HIVEMIND_COMPANY": "my-project", "HIVEMIND_AGENT": "Agent-Frontend" } } } }
{
"mcpServers": { "neurohive": { "command": "npx", "args": ["neurohive"], "env": { "HIVEMIND_COMPANY": "my-project", "HIVEMIND_AGENT": "Cursor-Agent" } } } }
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 — 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):
HIVEMIND_PAPERCLIP_URL=http://localhost:3100 # default
HIVEMIND_COMPANY=my-project HIVEMIND_AGENT=Agent-Backend HIVEMIND_AGENT_ROLE=backend
| Command | Description | |
|---|---|---|
neurohive | Start as MCP server (stdio) | |
neurohive dashboard | Print 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 doctor | Health check: DB path, agent config, Paperclip status |
| Variable | Default | Description |
|---|---|---|
HIVEMIND_COMPANY | "" | Company/project name. Sets the shared namespace to company- |
HIVEMIND_AGENT | "" | Agent identifier (e.g. Agent-Backend, Agent-DevOps) |
HIVEMIND_AGENT_ROLE | "" | Agent role label for priming context |
HIVEMIND_PAPERCLIP_URL | http://localhost:3100 | Paperclip API URL for auto-detection |
HIVEMIND_PRIMING_COUNT | 10 | Number of top memories to include in priming context |
HIVEMIND_PRIMING_CATEGORIES | "" | Comma-separated categories to prioritize in priming |
All NEUROMCP_* environment variables pass through unchanged. Key ones:
| Variable | Default | Description |
|---|---|---|
NEUROMCP_DB_PATH | ~/.neuromcp/memory.db | SQLite database path |
NEUROMCP_LOG_LEVEL | info | Log level: debug, info, warn, error |
NEUROMCP_EMBEDDING_PROVIDER | local | Embedding provider: local, openai, ollama |
OPENAI_API_KEY | — | Required when using OpenAI embeddings |
neurohive exposes 16 tools, 18 resources, and 3 prompts.
13 neuromcp tools (unchanged):
| Tool | Description |
|---|---|
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 |
export_memories | Export as JSONL or JSON |
import_memories | Import with deduplication |
backfill_embeddings | Recompute missing embeddings |
create_entity | Create/update knowledge graph entity |
create_relation | Link entities in knowledge graph |
query_graph | Traverse knowledge graph |
search_claims | Search atomic extracted claims |
3 neurohive tools:
| Tool | Description |
|---|---|
hivemind_status | Team dashboard: agents, categories, conflicts, activity |
hivemind_expertise | Query who knows what; get agent expertise profiles |
hivemind_conflicts | List/resolve inter-agent contradictions |
13 neuromcp resources (memory, graph, priming, stats) plus 5 neurohive resources:
| Resource URI | Description |
|---|---|
hivemind://priming | Startup context: dashboard + top knowledge for onboarding |
hivemind://expertise | All agent expertise data as JSON |
hivemind://conflicts | Unresolved conflicts as JSON |
hivemind://dashboard | Full dashboard data as JSON |
hivemind://agent/{agentId} | Expertise profile for a specific agent |
3 neuromcp prompts: store_memory_prompt, search_memory_prompt, session_summary_prompt.
neurohive probes HIVEMIND_PAPERCLIP_URL on startup. If the Paperclip API responds:
company- — all agents on the same Paperclip company share one knowledge base.If Paperclip is not running, neurohive falls back to HIVEMIND_COMPANY / HIVEMIND_AGENT env vars with no loss of functionality.
| Requirement | Required | Notes |
|---|---|---|
| Node.js >= 18 | Yes | ESM runtime |
| neuromcp | Yes | Installed automatically as a dependency |
| Paperclip | No | Auto-detected when running at the configured URL |
| OpenAI API key | No | Only if using OpenAI embeddings |
| Platform | Status |
|---|---|
| macOS | Full support |
| Linux | Full support |
| WSL2 | Supported |
| Windows (native) | Not supported |
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 — 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.
How does priming work? At startup, agents that read hivemind://priming receive a formatted summary: team size, top categories, most active agents, recent memories, and any open conflicts. This is designed to be included in a system prompt or read via a hook on session start.
See CONTRIBUTING.md.
MIT — see LICENSE.