RCLL MCP server

RCLL

Self-hosted shared memory for a team of AI agents. Storage + structure in one system.

RCLL — team memory for agent fleets. Built on Hindsight (github.com/vectorize-io/hindsight, MIT).

[!IMPORTANT]

You are looking at a read-only mirror. The canonical repository is

godcrm.ai/git/holetron-lab/fleet-memory —

self-hosted, public, clonable anonymously with no account anywhere in the chain. Everything

here is pushed out from there, so **a merge performed on GitHub is overwritten by the next

sync**, usually within the hour. Issues and stars belong here and are read. A pull request is

welcome here as well — it gets merged on the canonical side and arrives back here on the next

sync.

RCLL is a fork of vectorize-io/hindsight (MIT). It keeps Hindsight's storage engine and adds rooms — topic scoping over one shared store, which is selectivity rather than isolation — plus a hierarchical depth model (L0–L3). The room/hall/layer taxonomy is prior art in the hierarchical-memory space; the implementation here is our own.

RCLL is recall with the vowels dropped — the one operation every agent in the fleet performs before it does anything else. The tool is literally called memory_recall; the product is named after the call.

Its one structural property worth remembering: the read path never invokes a language model. A recall costs CPU and zero model tokens — see architecture.

Status

The source is public and MIT. There is no packaged release yet: fleet-memory-mcp is not published on npm and no container image is pushed. Running RCLL today means building from this tree, which the quick start below does. Don't quote an install command as working until rcll.ai shows one.

How it works

┌──────────────────────────────────────────────────────┐
│                         RCLL                         │
│                                                      │
│  ┌─── Room: auth ───┐  ┌─── Room: pipeline ──┐       │
│  │ Hall: facts      │  │ Hall: decisions     │       │
│  │ Hall: procedures │  │ Hall: events        │       │
│  │ Hall: warnings   │  │ Hall: facts         │       │
│  │                  │  │                     │       │
│  │  L0 ████ always  │  │  L0 ████ always     │       │
│  │  L1 ███░ warm    │  │  L1 ███░ warm       │       │
│  │  L2 ██░░ cold    │  │  L2 ██░░ cold       │       │
│  │  L3 █░░░ archive │  │  L3 █░░░ archive    │       │
│  └──────────────────┘  └─────────────────────┘       │
│           │                      │                   │
│           └──── Tunnel ──────────┘                   │
│                (cross-bank bridge)                   │
│                                                      │
│  Closets: compressed summaries + source pointers     │
└──────────────────────┬───────────────────────────────┘
                       │
              Hindsight vector store
              (embeddings + semantic search)

Rooms — topic isolation. Auth, pipeline, infrastructure, schema — each topic in its own room. An agent searching for auth facts won't wade through 500 deploy memories.

Halls — knowledge typing within a room. Fact, event, decision, procedure, warning. The system knows what it's looking at before reading — like Content-Type for memory.

Shortened. The full README is on GitHub.