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H1an1

mem-universe

by H1an1
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MEMORY_TOKENYesThe bearer token used for authentication. Generate with openssl rand -hex 32.
MEM_STORE_REMOTEYesThe git remote URL of your private store repository.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
searchB

BM25 search across the memory store. Returns ranked {path, score, snippet, type}.

readB

Read a single memory file by store-relative path.

writeA

Write a memory file (also indexes it). Returns {ok, path}.

There are exactly two layers. `path` is store-relative and starts with one:
  - `shared/...`    — the cross-agent knowledge base (skills/tools/lessons/rules)
  - `personal/...`  — the owner's personal space (free-form)

`layer` is OPTIONAL — leave it out and it's inferred from the path. If you do
pass it, the only valid keys are "shared" and "personal".

Layers are SHARED spaces, not per-author: every connected agent reads and
writes the same paths. `author_agent` only records who wrote an entry
(provenance); it does not partition or hide anything. So `personal/` is "the
owner's personal layer", visible to all connected agents — NOT "this agent's
private space". Truly secret material should not be put in this store at all.

`type` is one of skill|tool|lesson|rule|conversation|note (inferred from the
path if omitted). An explicit type="skill" must include the 5 template
sections, each headed in Chinese OR English: 目标/Goal, 何时用/When to use,
前置/Preconditions, 步骤/Steps, 验证/Verify.
deleteC

Delete a memory file. Git keeps history, so it's recoverable. Returns {ok, deleted}.

listC

List entries under a layer (optionally a prefix within it).

put_skillA

Store a runnable skill PACKAGE (a SKILL.md + its scripts/templates) byte-exact under shared/skills//. files maps package-relative paths to text content and MUST include a SKILL.md. Files are stored verbatim — no frontmatter, no template check (unlike write, which is for single markdown notes). The SKILL.md is indexed so search finds the package; any agent can later get_skill to install it. Returns {name, paths, commit}.

To push your local package: read every file under your skills dir (e.g.
~/.claude/skills/<name>/) into `files`, then call this. Text files only (v1).
get_skillA

Fetch a whole skill package as {name, files: {relpath: content}}. To install it, write each file into your local skills dir (e.g. ~/.claude/skills//). Any agent can fetch + run a package; Claude-family agents additionally get native auto-invocation.

list_skillsA

List stored skill packages as [{name, description}] (description from each SKILL.md).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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