Search / ai.rcll/fleet-memory
RCLL
L0· runs locallySelf-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.
v0.1.0 · active · repository · website · descriptor JSON · versions
Search / ai.rcll/fleet-memory
L0· runs locallySelf-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.
v0.1.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"fleet-memory": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"FLEET_URL": "http://127.0.0.1:5100",
"FLEET_BANK": "fleet-main"
}
}
}
}claude mcp add fleet-memory -e "FLEET_URL=http://127.0.0.1:5100" -e "FLEET_BANK=fleet-main" -- npx -y [email protected][mcp_servers.fleet-memory]
command = "npx"
args = ["-y", "[email protected]"]
env = { "FLEET_URL" = "http://127.0.0.1:5100", "FLEET_BANK" = "fleet-main" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"fleet-memory": {
"type": "local",
"command": [
"npx",
"-y",
"[email protected]"
],
"enabled": true,
"environment": {
"FLEET_URL": "http://127.0.0.1:5100",
"FLEET_BANK": "fleet-main"
}
}
}
}{
"mcpServers": {
"fleet-memory": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"FLEET_URL": "http://127.0.0.1:5100",
"FLEET_BANK": "fleet-main"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=fleet-memory&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsImZsZWV0LW1lbW9yeS1tY3BAMC4xLjAiXSwiZW52Ijp7IkZMRUVUX1VSTCI6Imh0dHA6Ly8xMjcuMC4wLjE6NTEwMCIsIkZMRUVUX0JBTksiOiJmbGVldC1tYWluIn19"
}{
"servers": {
"fleet-memory": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"FLEET_URL": "http://127.0.0.1:5100",
"FLEET_BANK": "fleet-main"
}
}
}
}{
"mcpServers": {
"fleet-memory": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"FLEET_URL": "http://127.0.0.1:5100",
"FLEET_BANK": "fleet-main"
}
}
}
}extensions:
"fleet-memory":
enabled: true
name: "fleet-memory"
type: stdio
cmd: "npx"
args:
- "-y"
- "[email protected]"
envs:
"FLEET_URL": "http://127.0.0.1:5100"
"FLEET_BANK": "fleet-main"
timeout: 300
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulnsno known advisory in 98 resolved packagesdeps.mcp_sdk_version@modelcontextprotocol/sdk 1.30.1 has 1 known advisory (GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.31.0 or laterdeps.resolvable[email protected] resolved: 98 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +dns-namespace +website ~liveness-unmeasured ~updated-53d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] npm97 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.30.1 · advisories checked 2026-10-19
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.31.0 |
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
fleet-memory-mcp | npm | 0.1.0 | npx |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "ai.rcll/fleet-memory",
"title": "RCLL",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.0",
"packages": [
{
"version": "0.1.0",
"transport": {
"type": "stdio"
},
"identifier": "fleet-memory-mcp",
"runtimeHint": "npx",
"registryType": "npm",
"environmentVariables": [
{
"name": "FLEET_URL",
"default": "http://127.0.0.1:5100",
"description": "Base URL of the fleet-memory backend (self-hosted). Defaults to http://127.0.0.1:5100. The pre-rebrand name HINDSIGHT_URL is still read as a fallback."
},
{
"name": "FLEET_BANK",
"default": "fleet-main",
"description": "Default memory bank ID for retain/recall. The pre-rebrand variable MEMPALACE_BANK is still read as a fallback. Migrating from hindsight-mempalace-mcp? Set this to mempalace-main to keep reading your existing bank; see mcp-server/README.md."
}
]
}
],
"repository": {
"id": "1344503808",
"url": "https://github.com/Holetron-lab/fleet-memory",
"source": "github"
},
"websiteUrl": "https://rcll.ai",
"description": "Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path."
}