Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Verifiable, portable AI memory. Optional vault: encrypted on your machine, 12 words only you hold.
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。
CHAINMEMORY_API_KEY, CHAINMEMORY_SEED_PHRASE, CHAINMEMORY_API_BASE, CHAINMEMORY_MODELS_DIR, CHAINMEMORY_ALLOW_FULL, AICHAIN_KEY, AICHAIN_RPC标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
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": {
"chainmemory": {
"command": "npx",
"args": [
"-y",
"chainmemory-mcp"
],
"env": {
"CHAINMEMORY_API_KEY": "your-value",
"CHAINMEMORY_SEED_PHRASE": "your-value",
"CHAINMEMORY_API_BASE": "your-value",
"CHAINMEMORY_MODELS_DIR": "your-value",
"CHAINMEMORY_ALLOW_FULL": "your-value",
"AICHAIN_KEY": "your-value",
"AICHAIN_RPC": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add chainmemory --env CHAINMEMORY_API_KEY=your-value --env CHAINMEMORY_SEED_PHRASE=your-value --env CHAINMEMORY_API_BASE=your-value --env CHAINMEMORY_MODELS_DIR=your-value --env CHAINMEMORY_ALLOW_FULL=your-value --env AICHAIN_KEY=your-value --env AICHAIN_RPC=your-value -- npx -y chainmemory-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"chainmemory": {
"command": "npx",
"args": [
"-y",
"chainmemory-mcp"
],
"env": {
"CHAINMEMORY_API_KEY": "your-value",
"CHAINMEMORY_SEED_PHRASE": "your-value",
"CHAINMEMORY_API_BASE": "your-value",
"CHAINMEMORY_MODELS_DIR": "your-value",
"CHAINMEMORY_ALLOW_FULL": "your-value",
"AICHAIN_KEY": "your-value",
"AICHAIN_RPC": "your-value"
}
}
}
}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": {
"chainmemory": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"chainmemory-mcp"
],
"env": {
"CHAINMEMORY_API_KEY": "your-value",
"CHAINMEMORY_SEED_PHRASE": "your-value",
"CHAINMEMORY_API_BASE": "your-value",
"CHAINMEMORY_MODELS_DIR": "your-value",
"CHAINMEMORY_ALLOW_FULL": "your-value",
"AICHAIN_KEY": "your-value",
"AICHAIN_RPC": "your-value"
}
}
}
}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。
CHAINMEMORY_API_BASE envCHAINMEMORY_MODELS_DIR envCHAINMEMORY_ALLOW_FULL envAICHAIN_RPC env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 chaelynet 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。
你需要填写:CHAINMEMORY_API_KEY, CHAINMEMORY_SEED_PHRASE, AICHAIN_KEY
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(2.10.0)于27天前进入注册中心。
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
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按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Cross-model, cryptographically verifiable memory for Claude, ChatGPT, and any AI agent — own your AI's memory and carry it across every model.
ChainMemory MCP exposes the ChainMemory protocol to any AI agent that speaks the Model Context Protocol. Memories are encrypted (AES-256-GCM), anchored on-chain one by one so anyone can verify them, and portable across ChatGPT, Claude, Gemini, Perplexity, and any other LLM. No vendor lock-in, ever.
[withheld]. Pass level: "full" to get them too, for work on your own infrastructure. It works only if you add CHAINMEMORY_ALLOW_FULL=1 to this MCP server's env, only with the owner's key (member and project keys are refused by the API), and ChainMemory logs every full-level request: when, which project and version, from which client and how many sensitive lines went out. The brief says so at the top and counts the sensitive lines at the end.chainmemory-mcp stdio|remote), which is what the full-level log records.To enable it, add the variable next to your API key:
"env": {
"CHAINMEMORY_API_KEY": "aic_your_key_here", "CHAINMEMORY_ALLOW_FULL": "1" }
task: "pri_0015" and the brief is about that one priority: the priority in full, its completion criterion on its own line, the risks it mitigates, everything else in the Brain that mentions it, and every work rule and constraint. A general brief orients; this one is meant to be enough to start the work. It does not move the version remembered for "what changed".[withheld], and says how many were withheld in that text, so the agent knows to ask. Before, a large budget could carry a server path or an SSH port into a third-party chat.state_hash, each changed priority-risk link with its previous value, completion criteria never cut, titles in "to review", the owner's work rules, and how many items cite evidence, with the rest marked (no evidence).update_project_state documents the new mitigates field of add_priority and the set_priority_risks op (the grammar is now 30 ops). The brief then shows which priority covers each risk and lists the high risks nobody mitigates. The documented value sets were also corrected: risks can be mitigated, and priorities are active, done or dropped.get_project_state returns the whole state as JSON, which on a mature project is long, and an agent opening a session reads it from the top. The brief is plain text built by the server (GET /v1/project/:name/inject) by relevance and within a character budget (default 7,000, from 1,000 to 50,000): what changed since the last version you read, open risks (high first), active priorities, recent decisions with their scope, recent milestones, open questions, each constraint as a one-line rule, and the items that have not been reviewed for more than 30 versions and may no longer be true. It starts with the state's on-chain anchor. Free and read-only.~/.chainmemory/brief-since.json. The file is indexed by a hash of your API key and the project name: it contains neither. Pass since to compare against a specific version. On the remote endpoint nothing is stored, and the comparison is with the previous version.lang: "es"); the items are returned as they were written.get_project_state is unchanged, and is still the tool to use before update_project_state.CHAINMEMORY_SEED_PHRASE), chainmemory_remember with sealed:true now sends the memory's search vector along with the encrypted blob, computed on your machine. The server can find a memory it cannot read, and search_memories decrypts sealed matches locally.search_memories sends the query's vector, not its text, so the text of what you search is never sent to the server nor written to its search log.models.chainmemory.ai, checked against its SHA-256 anchored on ChainMemory's chain, and stored in ~/.chainmemory/models (or CHAINMEMORY_MODELS_DIR); it is checked again every time it is loaded.2.5.6 to every client, whatever package was installed. It now reads the version from package.json, so the two cannot drift again.get_inject_history responses now include memory_numbers, the #N of each injected memory.Tool descriptions rewritten for agents, not for humans. An audit of all 36 found that only 39% said *when* to use them, 25% stated their limits, and two charged without saying so. One of them was plainly wrong.
chainmemory_profile promised memory count, trust score and registration block. None of those fields exist — the API returns chain_memories, local_memories, synced_memories, pending_sync, reputation, owner and active. The v2.5.6 release fixed the code that asked for the wrong fields; the description kept advertising them.chainmemory_remember (0.001 AIC) and update_project_state (0.05 + 0.005 per op) now state their fee. They are the most used and the most expensive tool respectively.update_project_state now documents the closed value sets. severity is low, med or high — *not* medium, *not* critical. A wrong value costs a rejected op and the fee is charged anyway.get_my_context and chainmemory_recall both said "use at conversation start". Now each says when to use it *instead of* the other.delete_project needs the numeric id and rejects the slug; add_project_from_template and list_project_templates deal in ids that cannot be guessed; chainmemory_seal is the only tool requiring a wallet private key.No behaviour changed: same 36 tools, same endpoints, same fees. What changed is what the agent is told before it chooses.
Documentation fix only, no code changes. The blind vault section described the verification step wrongly: GET /v1/memory/ /decrypted does not fail on a sealed memory — it returns 200 with scheme: "sealed" and the encrypted blob. The guarantee is the same (the operator never gets your text) but the observed behaviour was not what we documented. Found by running the first end-to-end test against the live API.
Blind vault — memories the server cannot read. Pass sealed: true to chainmemory_remember and the text is encrypted on your own machine before it leaves: AES-256-GCM with a key derived from twelve BIP-39 words that never touch the network. ChainMemory stores an opaque blob and anchors its hash. Same fee as a normal write — privacy costs nothing extra.
chainmemory_new_seed creates the phrase locally. Shown once, stored nowhere.chainmemory_open_sealed fetches the blob and decrypts it here, not there.CHAINMEMORY_SEED_PHRASE, everything behaves exactly as in 2.5.6.One honest limitation: a sealed memory is stored with no searchable text, so it will not appear in search_memories — the server has nothing to index. Its project and tags *are* stored, so list_memories_filtered still finds it by project; you then read the content with chainmemory_open_sealed. Losing full text search is the direct consequence of the server being unable to read it, and there is no way around that which keeps the guarantee. *(Solved in v2.8.0: the search vector is now computed on your machine, so sealed memories are searchable without the server reading them.)*
If you lose the twelve words, the memories sealed with them are gone — for you and for everyone. Write them on paper.
Three defects that made tools report confidently wrong things. No new tools.
templates / template_id from a response that returns defaults / project_id, so it always answered "No templates available" — which meant nobody could learn the id that add_project_from_template needs. The whole template flow was unreachable.wallet, memory_count, trust_score, registration_block and sealed; the API returns owner, chain_memories / local_memories, reputation and active. Every profile came back with an empty wallet, zero memories, ? reputation and Sealed: no, regardless of the real state. It also had no handling for an API key with no registered identity, printing AI Profile #undefined.Rejected: 3 and nothing else. The only way to find out why was to guess again and pay the fee again.audit_state costs 5 AIC in its paid form, so the tools default to the dry run.只显示了开头部分;其余内容请在仓库中阅读