Graph Memory

dsh plugin --profile my-profile add graph-memory

The easy path: this bundle is published to npm, so the install pulls a prebuilt artifact — no build step runs on your machine and no build approval is needed.

# 1. add the bundle to a profile — --profile my-profile points at $DSH_HOME/profiles/my-profile
dsh plugin --profile my-profile add graph-memory

# 2. verify: the bundle should show up as a layer in the resolved config
dsh --profile my-profile --dump-config

# 3. boot the profile
dsh --profile my-profile

# 1. add the bundle to a profile — --profile my-profile points at $DSH_HOME/profiles/my-profile
dsh plugin --profile my-profile add github:adoresever/graph-memory#<commit-sha>

# 2. verify: the bundle should show up as a layer in the resolved config
dsh --profile my-profile --dump-config

# 3. boot the profile
dsh --profile my-profile

Prerequisites

API key

Not required.

Network access

Not required at runtime.

Language

TypeScript

Verdict reason

on npm with a valid bundle declaration

package.json read

package.json

Rules applied from

docs/user/develop/basic/publish.md

Checked at

2026-08-15

Install-time scripts

prepare, prepack

One memory core, native to DeepSeek Harness, with the OpenClaw plugin entry retained. Compaction answers “how much of this conversation still fits?” Graph Memory answers “which past knowledge is worth recalling now?” Reusable conversation knowledge becomes typed nodes: - `TASK`: goals, execution, and outcomes; - `SKILL`: validated reusable methods; - `EVENT`: errors, fixes, decisions, changes, and facts. Typed edges such as `USED_SKILL`, `SOLVED_BY`, `REQUIRES`, `PATCHES`, and `CONFLICTS_WITH` preserve relationships. A new question retrieves a relevant local subgraph instead of replaying the complete history. - Loaded by the DSH/Cordis plugin lifecycle, not simulated through an MCP side channel. - Integrates Session, Tool, Agent Loop, Prompt Assembly, LLM, and Credentials seams. - Disposes