Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Verifiable, portable AI memory. Optional vault: encrypted on your machine, 12 words only you hold.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
CHAINMEMORY_API_KEY, CHAINMEMORY_SEED_PHRASE, CHAINMEMORY_API_BASE, CHAINMEMORY_MODELS_DIR, CHAINMEMORY_ALLOW_FULL, AICHAIN_KEY, AICHAIN_RPCValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
}
}
}
}Run this in your terminal
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-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
CHAINMEMORY_API_BASE envCHAINMEMORY_MODELS_DIR envCHAINMEMORY_ALLOW_FULL envAICHAIN_RPC envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account chaelynet, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: CHAINMEMORY_API_KEY, CHAINMEMORY_SEED_PHRASE, AICHAIN_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (2.10.0) reached the registry 27 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.Only the beginning is shown; read the rest in the repo