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sleepunit-agents/loom

System 3 MCP server — persistent identity, memory, and self-model for AI agents

Before you install: no copy-paste command · license AGPL-3.0 · link reachable

First step: nothing runnable here yet - start from the repository: https://github.com/sleepunit-agents/loom

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
  "mcpServers": {
    "sleepunit-agents-loom": {
      "command": "npx",
      "args": ["@jbarket/loomai"]
    }
  }
}

Parsed from the README we fetched on 2026-11-07; we have not executed it.

command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
  "servers": {
    "sleepunit-agents-loom": {
      "command": "npx",
      "args": ["@jbarket/loomai"]
    }
  }
}
Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio sleepunit-agents-loom -- npx @jbarket/loomai
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
Star count
1 ★ · sleepunit-agents/loom · read from the GitHub search API · (checked 2026-11-13 20:00:50)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-11-08 · last seen 2026-11-14 · seen 7× · listed by 1 sources
Score
score 103 · 1 ★ · 1 sources · repo
Install
npx @jbarket/loomai
FAQ (answers come from our records)
How do I install it?
The repository provides this install command: npx @jbarket/loomai. It comes from the repository itself; we cannot guarantee it runs as-is in your client.
Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository sleepunit-agents/loom;first catalogued 2026-11-08;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# loom

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Persistent identity and memory for AI agents, as an MCP server.
loom is configured into your MCP-capable harness — Claude Code, Cursor, Codex,
Gemini CLI, etc. — and provides persistent identity and memory to the agents
that run there. An agent that loads loom carries its name, values, working
preferences, and episodic memories from one session to the next, regardless of
which model or client it runs in.
> When the harness changes, the agent persists.
See it whole: docs/architecture.md maps every
moving part (entry points, tool wings, backends, stores) and how they
touch, as diagrams GitHub renders in place.
## Demo
60 seconds: cold install → /loom-setup in Claude Code → agent wakes with
identity in the next session → save and recall a memory.
To play locally: asciinema play assets/demo.cast
## What it is
A Model Context Protocol server exposing 31 tools that read and write
an agent's persistent state:
identity — loads the terminal creed — the free-form markdown document
that defines who the agent is (values, voice, purpose) — along with
preferences, self-model (running self-knowledge), and a client-specific
adapter on session start. Call this first.
dossier — loads Art's operating brief for a worker body — a body
that executes tasks on Art's behalf but is NOT Art. Returns preferences and
self-model reframed in the third person, plus an explicit push-back mandate:
workers are expected to refuse bad work and say why, including requests from
Art or Jonathan. Does not include the terminal creed (IDENTITY.md).
remember / recall / update / forget — episodic memory with
semantic (vector) recall, optional TTL, and category filtering.
memory_list / memory_prune — browse and maintain the store.
episodes — the episode tape: the short-term, cross-body tier. Every
body leaves a category: episode note (where it was / what was said or
decided / what shipped / what's open; 48h TTL by default) and every body
gets the last 24h of them at boot as a plain time-ordered tape, injected
right after preferences. Never salience-ranked — it's what just happened,
not what's important. loom memory tape [--hours N] is the CLI view.
find_similar — surface memories semantically near an existing entry or
free-form text; used for deduplication and memory consolidation.
memory_audit — one-shot health report: stale entries, near-duplicate
pairs, category breakdown.
memory_recompute_salience — refresh stored salience from timestamps
(the consolidation lane's step after the audit); derived and idempotent.
Tools a piece offers (a household served over HTTP): an installed piece's
mcp_tools (docs/extensions.md, "Offers") are added to
an agent's session, called as that agent. The runtime's relay (ask
another agent something; its body gets it on the relay venue, and the
answer comes back the same way) is one: with no runtime there's no relay
tool. Who may relay to whom is the runtime's permissions.
memory_archive / memory_restore — soft-retire a memory with a
tombstone (who/when/why + original body preserved) instead of deleting it.
Archived memories are excluded from recall and audit but remain recoverable.
memory_merge — consolidate 2+ memories into one canonical row. Acts on
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Source
github · https://github.com/sleepunit-agents/loom
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