agentic-recall runs on your own machine — the client starts it, so there is no endpoint to ping. 91 installs a week from npm.
Long-term memory for agentic tasks. It tells you when it doesn't know.
Today is the operative word: we check agentic-recall every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add agentic-recall -e 'MEMORY_DIR=<MEMORY_DIR>' -- npx -y agentic-recall
{
"mcpServers": {
"agentic-recall": {
"command": "npx",
"args": [
"-y",
"agentic-recall"
],
"env": {
"MEMORY_DIR": "<MEMORY_DIR>"
}
}
}
}
[mcp_servers.agentic-recall]
command = "npx"
args = ["-y", "agentic-recall"]
env = { MEMORY_DIR = "<MEMORY_DIR>" }
{
"mcpServers": {
"agentic-recall": {
"command": "npx",
"args": [
"-y",
"agentic-recall"
],
"env": {
"MEMORY_DIR": "<MEMORY_DIR>"
}
}
}
}
{
"servers": {
"agentic-recall": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"agentic-recall"
],
"env": {
"MEMORY_DIR": "<MEMORY_DIR>"
}
}
}
}
Put your own value in place of
<MEMORY_DIR> (Absolute path to the folder holding your markdown memories. Required — the server never searches your disk for it).
The author’s registry entry marks it as required.
Optional settings from the registry entry, left out of the block above:
MEMORY_ROOT (Optional. Where the embedding model cache, vector cache and indexes are kept. Defaults beside the code for a clone, ~/.agentic-recall for a package install).
Long-term memory for AI agents. Pass one sentence, and it remembers, recalls, or forgets.
Long-term memory for AI coding agents, kept as Markdown you own. Runs locally.
Long-term memory and a knowledge graph for AI agents: recall, notes, secrets and data sources.
Memory your agent can trust — every answer carries its source; when it doesn't know, it says so.
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
Long-term memory for AI agents: fast recall, project brains and skills, local, in one binary.
Self-hosted, uncensored AI agent: ask it tasks, search its long-term memory and your documents.
Local long-term memory shared by all your AI agents, kept word for word on your own PC.
Answers built from our own checks of this server.