True Memory Fragments runs on your own machine — the client starts it, so there is no endpoint to ping. 69 installs a week from pypi. Last commit 23 Sep 2026.
Detect stale source context and retain traceable code-chain understanding for AI coding agents.
What the code does
We read the source, 4 d ago · rules 995398eba69f
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.
proc = subprocess.run([sys.executable, str(ORACLE), str(target)], text=True, capture_output=True)
const proc=spawnSync(config.python||"python3",[path.join(integrationRoot,"hooks","pre_tool_use.py")],{input:payload,encoding:"utf8",env});
const current=blobSha(path.join(value.collision.canonical_repo_root,item.path));
proc = subprocess.run(command, input=json.dumps(payload, ensure_ascii=False), shell=True, text=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=timeout)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Connect this server
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 true-memory-fragments -- uvx true-memory-fragments{
"mcpServers": {
"true-memory-fragments": {
"command": "uvx",
"args": [
"true-memory-fragments"
]
}
}
}[mcp_servers.true-memory-fragments]
command = "uvx"
args = ["true-memory-fragments"]{
"mcpServers": {
"true-memory-fragments": {
"command": "uvx",
"args": [
"true-memory-fragments"
]
}
}
}{
"servers": {
"true-memory-fragments": {
"type": "stdio",
"command": "uvx",
"args": [
"true-memory-fragments"
]
}
}
}Alternatives to True Memory Fragments
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Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
Memory, docs, and repo context layer for engineering agents.
Git-native memory for coding agents: gotchas, decisions and bookmarks as plain text in your repo.
Persistent memory for AI agents, for code, research and everyday life. Stale facts retire.
Team memory for AI coding agents and code reviews, reviewed by humans and served over MCP.
True Memory Fragments — questions
Answers built from our own checks of this server.