chore(mcp-server): npm storefront metadata before the first publish
Published package metadata cannot be changed without shipping another version, so this has to land before 0.1.0 goes out, not after. - repository/homepage/bugs were all missing: the npm page would have rendered with no link back to the source at all. repository names the GitHub mirror deliberately — npm tooling and the --provenance attestation are keyed to the repo the workflow builds in; the canonical repository is stated in the README instead. - README is the npm page body. Its Quick Start opened with `cd mcp-server && npm install`, which is the from-a-clone path — the one instruction that cannot work for somebody who just installed the package. `npx fleet-memory-mcp` first, clone path kept below it, and a line saying this package is the client half and does not start a store. - LICENSE was not in the tarball. MIT text now ships with the artifact, Vectorize AI copyright intact. - engines and an explicit files list, so the tarball contents are stated rather than inferred.
This commit is contained in:
parent
b3e632bcb1
commit
7fca442903
3 changed files with 52 additions and 1 deletions
21
mcp-server/LICENSE
Normal file
21
mcp-server/LICENSE
Normal file
|
|
@ -0,0 +1,21 @@
|
|||
MIT License
|
||||
|
||||
Copyright (c) 2025 Vectorize AI, Inc.
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
|
|
@ -4,6 +4,10 @@ Standalone [MCP](https://modelcontextprotocol.io) server that exposes **RCLL** m
|
|||
|
||||
> RCLL — team memory for agent fleets. Built on Hindsight (github.com/vectorize-io/hindsight, MIT).
|
||||
|
||||
Canonical repository: <https://godcrm.ai/git/holetron-lab/fleet-memory> — self-hosted, clonable
|
||||
anonymously. <https://github.com/holetron-lab/fleet-memory> is a read-only mirror of it, and is
|
||||
where issues and stars go.
|
||||
|
||||
RCLL is a fork of [`vectorize-io/hindsight`](https://github.com/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.
|
||||
|
||||
## Tools
|
||||
|
|
@ -18,6 +22,16 @@ RCLL is a fork of [`vectorize-io/hindsight`](https://github.com/vectorize-io/hin
|
|||
|
||||
## Quick Start
|
||||
|
||||
```bash
|
||||
npx fleet-memory-mcp
|
||||
```
|
||||
|
||||
`FLEET_URL` points at your own RCLL backend (default `http://127.0.0.1:5100`); this package is the
|
||||
MCP client half and does not start a store for you. Standing one up is [the quickstart on
|
||||
rcll.ai](https://rcll.ai/docs/quickstart/).
|
||||
|
||||
From a clone instead:
|
||||
|
||||
```bash
|
||||
cd mcp-server
|
||||
npm install
|
||||
|
|
|
|||
|
|
@ -3,6 +3,14 @@
|
|||
"version": "0.1.0",
|
||||
"mcpName": "io.github.holetron-lab/fleet-memory",
|
||||
"description": "RCLL — self-hosted, hierarchical shared memory for a team of AI agents over MCP (rooms, L0-L3 depth, pgvector). Fork of vectorize-io/hindsight.",
|
||||
"homepage": "https://rcll.ai",
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "git+https://github.com/holetron-lab/fleet-memory.git"
|
||||
},
|
||||
"bugs": {
|
||||
"url": "https://github.com/holetron-lab/fleet-memory/issues"
|
||||
},
|
||||
"type": "module",
|
||||
"main": "server.js",
|
||||
"bin": {
|
||||
|
|
@ -27,5 +35,13 @@
|
|||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@modelcontextprotocol/sdk": "^1.12.1"
|
||||
}
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
},
|
||||
"files": [
|
||||
"server.js",
|
||||
"README.md",
|
||||
"LICENSE"
|
||||
]
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in a new issue