Knowl is answering right now. Last checked 6 min ago. 227 installs a week from npm. Last commit 21 Oct 2026.
Persistent memory for AI agents, for code, research and everyday life. Stale facts retire.
We read the source, 1 d ago · rules 995398eba69f
A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.
proc = subprocess.run(
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const pathname = path.join(projectRoot, target.file);
return spawnSync(command, args, spawnOptions);
const QUERY_LEAK = /Failed query:|\bparams:\s|\binsert into\b|\bdelete from\b|\bcreate table\b|\bupdate\s+"?[a-z_]+"?\s+set\b|\bselect\b[\s\S]{0,200}?\bfrom\b/i;
proc = subprocess.run(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.
claude mcp add knowl --transport http https://api.knowl.cloud/mcp/
https://api.knowl.cloud/mcp/
[mcp_servers.knowl]
url = "https://api.knowl.cloud/mcp/"
{
"mcpServers": {
"knowl": {
"url": "https://api.knowl.cloud/mcp/"
}
}
}
{
"servers": {
"knowl": {
"type": "http",
"url": "https://api.knowl.cloud/mcp/"
}
}
}
This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://api.knowl.cloud/mcp/ | streamable-http | sign-in | 1625 ms | 6 min ago |
Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.
Persistent engineering memory for AI coding agents. Survives refactors, knows when it is stale.
Persistent memory for Claude Code and Codex. Search and re-inject context from any session.
Persistent memory for Claude Code. Search, recall, and re-inject context from any session.
Persistent memory for AI agents: one brain shared across Claude, Cursor, Codex and more.
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
Persistent code memory for AI agents: notes pinned to files and symbols that survive refactors.
AI assistant with RAG, web search, filesystem and memory. MCP sub-agent for Claude Code.
Answers built from our own checks of this server.