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Knowledge graph skill for Claude/Kimi Code

Knowledge graph skill for Claude/Kimi Code

SysEdge is an ontological knowledge graph and CLI for multi-agent Claude Code and Kimi Code teams that models requirements, tests, and architecture standards to surface specification, test, and standards gaps before code ships and to reduce agent orientation tokens.

Knowledge graph skill for Claude/Kimi Code is research software teams evaluate for research. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium Enterprise 70/100
#61 in Research (61 tools)
Just launched
38 profile views · 0 vendor visits in 30 days

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Quick Overview

Best for: Research

What it does

Research software for decision-makers comparing workflow fit and alternatives.

Best fit

Research

Pricing snapshot

Freemium from Free (MIT + Commons Clause)

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Knowledge graph skill for Claude/Kimi Code

SysEdge is an ontological knowledge graph and CLI designed to capture what code review and indexing tools miss: unspecified requirements, unregistered tests, and unaddressed architecture standards. It integrates with Claude Code and Kimi Code CLI agent sessions so multiple parallel AI sessions share a single ontology and graph, reducing orientation token usage and preventing duplicate implementations. SysEdge runs structural, traceability, and quality checks from the graph (many without an AI key) and offers an AI guidance/audit layer (optional) to surface semantic and completeness issues. The product ships as a free CLI (MIT + Commons Clause) and an optional one-time bootstrap kit that adds a web visualiser, AI audit commands, architecture standards library, and deployment tooling.

71% fewer orientation tokens, measured on a real external open-source codebase you can reproduce. Requirements traceability, test coverage, and architecture standards — all in a queryable graph.

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Key Features

Ontological knowledge graph

Models requirements (US → UC → Feature → Test), tests, architecture standards, and other artefacts as queryable graph entities to detect gaps that have no code diff.

Requirements traceability & structural checks

Automated TRC (traceability) and QUS (quality) structural checks run from the CLI to ensure user stories, use cases, and features link correctly and meet named research-backed criteria.

AI-powered guidance and audits

Optional AI guidance layer and AI audit-test commands evaluate semantic story quality and test coverage (Cockburn UC patterns, 7 AS-TEST and 7 AS-REQ dimensions) when invoked with --ai.

V-model test coverage visibility

Maps four tiers of test coverage (component, integration, use-case flow, end-to-end) per feature and reports gaps per V-model tier.

Architecture standards and ADR compliance

Includes a library of 53 architecture standards across security, operations and infrastructure; single queries surface standards with no addressing ADRs.

CLI-first workflow with import/export

Free CLI exposes commands for quality-review, coverage-review, audit-test, analyse --orphans, and import/export skills; bootstrap kit adds extra import/export and seed commands for Claude and Kimi (/C-sysedge-import-stories, /K-sysedge-import-use-cases, /C-init-sysedge, /K-init-sysedge).

Web visualiser & Docker deployment (bootstrap kit)

Bootstrap kit provides a web visualiser for drill-down graphs, entity editing, coverage tiers and export, plus Docker Compose and one-command setup.

Agent token savings & multi-agent parity

Reproducible measurements on Formbricks show 71% fewer orientation input+output tokens for Claude Code; same graph and findings verified with Kimi Code CLI against the same Neo4j instance.

Backup, restore, and audit staleness tracking

Per-instance backup and restore and audit staleness tracking are provided to manage repository graphs over time (listed as bootstrap-kit capabilities).

Pricing

Free Tier Available

Free CLI available under MIT + Commons Clause for use on projects including commercial software.

Free CLI

Free (MIT + Commons Clause)
  • CLI with structural checks and graph generation
  • Usable locally and per-repository

Bootstrap Kit

$149 one-time per repository (VAT included)
  • Web visualiser, AI audit commands, architecture standards library
  • Docker Compose setup, Claude & Kimi skill files, 12 months of updates and email support

Use Cases

Pre-code requirements validation

Run AS-REQ and structural quality checks to surface missing exception paths, scope omissions, and untestable acceptance criteria before code is written.

Test coverage and quality audits

Use audit-test and coverage-review commands to detect missing unit, API, UI flow and end-to-end tests and to evaluate test files against AS-TEST dimensions.

Enforcing architecture standards and ADR tracking

Query the graph to find standards with no ADR or no recorded decision (e.g., SEC-PII-001) and bring ADR compliance into engineering workflows.

Multi-agent session coordination

Provide a shared ontology and graph so multiple Claude or Kimi Code sessions avoid duplicate implementations and reduce orientation overhead.

Repository bootstrap and visualization

Seed a project from a directory scan, import stories and use-cases, and use the web visualiser (bootstrap kit) to explore entities and coverage tiers.

Integrations

Claude Code

SysEdge provides session skill files and workflows for Claude Code to share the ontology and reduce orientation tokens across agent sessions.

Kimi Code CLI

Kimi Code CLI parity is supported; the same graph and commands were verified with Kimi Code against the same Neo4j instance.

Neo4j (graph storage)

Graph queries and multi-agent verification runs reference a shared Neo4j instance (used in the Formbricks and Kimi verification examples).

Docker Compose

Bootstrap kit includes Docker Compose and one-command setup for local deployment of visualiser and graph components.

Benefits

Significantly reduced AI orientation tokens and faster multi-agent sessions (71% fewer input+output tokens measured on Formbricks).
Detects missing requirements, tests, and ADRs before code ships, reducing defects caused by unspecified behaviour.
Enforces traceability from requirements to tests and helps teams maintain architecture-standard compliance across repositories.

Limitations

The AI guidance/audit layer is optional and invoked explicitly (add --ai); structural checks run without an AI key but semantic guidance requires AI invocation.
The web visualiser, architecture-standards library, AI audit commands, and deployment tooling are provided only in the paid bootstrap kit (free CLI does not include these extras).
Bootstrap kit updates are time-limited (12 months of updates are included) and the bootstrap kit is licensed per repository (one-time purchase).

Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Get the free SysEdge CLI from the project's GitHub (free CLI, MIT + Commons Clause) and install it into your repository.
  2. 2 Step 2: Run CLI commands such as python3 cli/sys_edge.py quality-review --entity <ID> or coverage-review --uc <ID> to evaluate existing stories, use-cases and tests.
  3. 3 Step 3: Optionally buy the $149 bootstrap kit (per repository, one-time) to add the web visualiser, AI audit commands, architecture standards library, Docker Compose setup and Claude/Kimi skill files; use /C-init-sysedge or /K-init-sysedge to auto-seed your project.

Support

email

Bootstrap kit includes 12 months of updates and email support; contact via [email protected].

docs

Getting started CLI usage and examples are published on the product page; free CLI is available on GitHub.

download

Free CLI available for immediate download on GitHub; bootstrap kit is a one-time purchase per repository.

API

Available: No

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