AgentIndex icon
AgentIndex
ToolsMCP ServersHOTCategoriesTrendingNewBest ListsCompareGuides
Submit Tool
ToolsMCP ServersHOTCategoriesTrendingNewBest ListsCompareGuides
Home/
Memory & Context/
open-ontologies
open-ontologies logo

open-ontologies

Active·★ 1.2k·MIT·Updated 2026-10-17
★ Trending

Open Ontologies is a Rust MCP server and a Tauri desktop app (Studio) for ontology engineering with AI. The README calls it a Terraforming MCP for knowledge graphs: it validates, classifies and governs AI-generated ontologies, ships as a single binary, and needs no JVM or Protégé. Its 48 tools, prefixed `onto_` over MCP and also available as CLI subcommands, let Claude build, validate, query, diff, lint, version, reason over and align ontologies.

The tool table is broad. Core tools handle RDF and OWL validation, loading, querying and conversion. A marketplace installs 30 standard W3C, ISO and industry ontologies. Other groups cover PostgreSQL-to-OWL schema import, structured-data-to-RDF mapping with SHACL, named snapshots and rollback, Terraform-style lifecycle commands (plan, apply, lock, drift, enforce, monitor, lineage), cross-ontology alignment, ICD-10, SNOMED and MeSH crosswalks, dual-space semantic search, and a native OWL2-DL reasoner. Studio adds a 3D force-directed graph, an AI chat panel and a property inspector.

The README publishes benchmarks. On OntoAxiom, an axiom identification test over 9 ontologies and 3,042 axioms, it reports an F1 of 0.717 for MCP extraction against 0.431 for bare Claude Opus and 0.197 for the paper's best o1 result. It also says a one-sentence Pizza ontology prompt produced 95 of 99 reference classes in about five minutes. These are the author's own results. Install uses pre-built binaries for macOS and Linux or `cargo build --release`, and the licence is MIT. Last push was 2026-10-13. This review is based on the README and repository data; we have not run it ourselves.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-22.

License
MIT
Latest release
v2.0.1 · 2026-09-28
Last commit
2026-10-17
Contributors
8
Forks
167
Open issues and PRs
17
First published
2026-03-09

Source: GitHub, npm and PyPI public APIs.

#ai-native#claude#description-logics#knowledge-graph#linked-data#mcp#mcp-server#mcp-servers
$ Install
$ git clone https://github.com/fabio-rovai/open-ontologies.git && cd open-ontologies && cargo build --release
↗ Visit site★ GitHub
01

Features

0148 tools for ontology engineering (validate, load, query, diff, lint, reason, align, etc.)
02In-memory Oxigraph triple store with SPARQL 1.1 support
03Terraform-style lifecycle management (plan, apply, drift, enforce, monitor)
04Desktop Studio with 3D force-directed graph, AI chat, and property inspector
05Marketplace of 30 standard ontologies with clinical crosswalks and embeddings
02

Why choose it

+48 tools in one Rust binary for ontology validation, reasoning, versioning and alignment, no JVM needed
+Terraform-style plan, apply, drift and lineage commands give change control over ontologies
+Includes 30 standard ontologies, SHACL, ICD-10, SNOMED and MeSH crosswalks and a native OWL2-DL reasoner
+Studio desktop app with a 3D graph and chat; MIT license
03

Trade-offs

!A specialist tool for knowledge-graph and ontology work, with a steep learning curve if you are new to OWL
!Benchmark figures such as F1 0.717 are the author's own and depend on the model and prompts used
!Building Studio from source needs Rust and Node.js 18+
!Clinical crosswalks are aids, not a substitute for expert review
04

Maintenance check

ActiveChecked: 2026-10-22
Last commit
2026-10-17
Commits, last 90 days
100+
Releases, last 90 days
10
Latest release
v2.0.1 (2026-09-28)
Open issues
17
Recent issues with at least one comment
0/9
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 19, 47, 36, 64, 35, 0, 150, 38, 12, 26, 6, 0

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #293 Bound the RDFC-1.0 canonicalisation that diff and drift run on blank nodes0 comments · 2026-10-09

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

05

Compatibility

macOS
macOS (Intel & Apple Silicon)
Verified via docs
Linux
Linux (x86_64)
Verified via docs
Docker
Docker (any platform)
Verified via docs
06

Quick start

1
$ git clone https://github.com/fabio-rovai/open-ontologies.git
2
$ cd open-ontologies
3
$ cargo build --release
07

Use cases

↳Build and validate domain ontologies from natural language instructions using Claude
↳Manage ontology versions and drift detection in CI/CD pipelines
↳Align and crosswalk clinical codes (ICD-10, SNOMED, MeSH) to research ontologies
08

Alternatives

⚡Top VS:
VSakb★163→VSmulti-agent-memory★64→VSneurostack★47→VShmem★24→
akb logo
akb★ 163
AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.
VSCompare→
multi-agent-memory logo
multi-agent-memory★ 64
A Multi Agent Memory MCP That Connect Agents Across Systems and Machines
VSCompare→
neurostack logo
neurostack★ 47
Your second brain, starting today. CLI + MCP server that helps you build, maintain, and search a knowledge vault that gets better every day. Works with any AI provider. Local-first, zero-prereq install.
VSCompare→
hmem logo
hmem★ 24
Humanlike persistent memory for AI agents — MCP server with 5-level lazy-loaded SQLite memory. Works with Claude Code, Gemini CLI, Cursor, Windsurf, OpenCode.
VSCompare→
hippocampus logo
hippocampus★ 13
Open-source MCP memory server. Universal AI memory across all platforms.
VSCompare→
its-over-9k logo
its-over-9k★ 0
Persistent memory and agent lifecycle for Claude Code — because sessions shouldn't start from zero.
VSCompare→
tradememory-protocol logo
tradememory-protocol★ 1.4k
Memory layer for AI trading agents. Outcome-weighted recall, autonomous strategy evolution, 15 MCP tools.
VSCompare→
LycheeMem logo
LycheeMem★ 1.1k
Compact, efficient, and extensible long-term memory for LLM agents.
VSCompare→
See all alternatives →

Comments

Log in to leave a comment

No comments yet. Be the first!

On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
fabio-rovai /
open-ontologies
↗

MIT Rust MCP server and desktop Studio with 48 tools for building, validating, reasoning over and versioning OWL ontologies with Claude

1.2k167MIT
Last commit6d ago
StatusActive
CategoryMemory & Context
Contributors8
Latest releasev2.0.1
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
© 2026 AgentIndex.app|Built by a 10-year iOS Developer.
Best by use caseAboutContactAdvertisePrivacy PolicyTerms of UseQYSGitHubBuy me a coffee ☕

Browse by Category

MCP ServersCode AssistantWorkflow AutomationRAG / Knowledge BaseMulti-AgentBrowser AutomationLLM InfraDev ToolingObservability

Not affiliated with Anthropic, OpenAI or Microsoft.