CogniCore is answering right now. Last checked 9 min ago. Last commit 31 Oct 2026.
Memory, reflection and safety for AI agents. Hosted or local, no vector database.
We read the source, 12 h 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.
path = os.path.join(self.storage_dir, f"{self.agent_id}.json")
m = __import__(mod)
result = subprocess.run(cmd, check=True, shell=is_win) # nosec B602
document.getElementById('connectorList').innerHTML = html;
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
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.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.
claude mcp add cognicore-env --transport http https://mcp.cognicoree.tech/mcp/stream
https://mcp.cognicoree.tech/mcp/stream
[mcp_servers.cognicore-env]
url = "https://mcp.cognicoree.tech/mcp/stream"
{
"mcpServers": {
"cognicore-env": {
"url": "https://mcp.cognicoree.tech/mcp/stream"
}
}
}
{
"servers": {
"cognicore-env": {
"type": "http",
"url": "https://mcp.cognicoree.tech/mcp/stream"
}
}
}
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://mcp.cognicoree.tech/mcp/stream | streamable-http | sign-in | 786 ms | 9 min ago |
Persistent memory for AI coding agents: one Rust binary, one local SQLite database.
Durable causal memory for AI agents — semantic recall, causal lineage, and skills. Local-first.
MySQL migration and query safety review for AI agents: locks, table copies, data loss, injection.
Memory database for AI agents: remember and recall over a running Fraise daemon, in FQL.
Local-first memory for AI agents: SQLite FTS5, deterministic recall, no vector DB, no cloud.
Markdown memory for AI agents. Files you can read, edit, grep, and commit. Not a database.
Memory for AI coding agents — markdown in your own git, not a vendor database. Apache-2.0.
Database backups and an AI agent safety net: restore points, health, audited changes as you.
Answers built from our own checks of this server.