Home/Compare/Ori-Mnemos vs open-design

Comparison

Ori-Mnemos vs open-design

Verdict

Pick Ori-Mnemos if ori-Mnemos is a local-first, persistent agentic memory system leveraging SQLite and TypeScript. It incorporates Recursive Memory Harness (RMH) for AI agents; pick open-design if open-design is a local-first desktop application that leverages coding agents to generate design assets such as prototypes, landing pages, and videos with support for exporting in multiple file formats.

Markdown twin · Ori-Mnemos alternatives · open-design alternatives

GraphCanon updated today

Ori-Mnemos logo

Ori-Mnemos

aayoawoyemi/Ori-Mnemos

314pushed Jun 21, 2026
vs
open-design logo

open-design

nexu-io/open-design

77kpushed Jul 11, 2026

Trust & integrity

SignalOri-Mnemosopen-design
Maintenance
Active (20d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No MCP manifest
As of 1d · mcp_manifest
No lockfile
As of 1d · none

Tagline

Ori-Mnemos
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH).
open-design
🎨 The open-source Claude Design alternative. 🖥️ Local-first desktop app.

Stars

Ori-Mnemos
314
open-design
77k

Forks

Ori-Mnemos
28
open-design
8.8k

Open issues

Ori-Mnemos
5
open-design
627

Language

Ori-Mnemos
TypeScript
open-design
TypeScript

Adopt for

Ori-Mnemos
Ori-Mnemos is a local-first, persistent agentic memory system leveraging SQLite and TypeScript. It incorporates Recursive Memory Harness (RMH) for AI agents.
open-design
Open-design is a local-first desktop application that leverages coding agents to generate design assets such as prototypes, landing pages, and videos with support for exporting in multiple file formats.

Persona

Ori-Mnemos
-
open-design
-

Runtime

Ori-Mnemos
-
open-design
-

License

Ori-Mnemos
Apache-2.0
open-design
Apache-2.0, with bundled skills retaining their respective licenses including notable contributions under MIT.

Last pushed

Ori-Mnemos
Jun 21, 2026
open-design
Jul 11, 2026

Categories

Ori-Mnemos
AI Agents, Data & Retrieval
open-design
AI Agents, Data & Retrieval

Trust and health

Maintenance

Ori-Mnemos
Active (82%)
open-design
Very active (96%)

Days since push

Ori-Mnemos
20d
open-design
0d

Open issues (now)

Ori-Mnemos
5
open-design
627

Owner type

Ori-Mnemos
User
open-design
Organization

Security scan

Ori-Mnemos
No MCP manifest
open-design
No lockfile

Full report

Ori-Mnemos
Trust report
open-design
Trust report

Choose Ori-Mnemos if…

  • Tags unique to Ori-Mnemos: agent-memory, knowledge-graph, llm, markdown.
  • Ori-Mnemos ships an MCP server manifest.
  • When you need a robust, local-first solution that prioritizes offline capabilities and security.

When NOT to use Ori-Mnemos

  • When real-time synchronization across devices or cloud integration is a non-negotiable requirement for your application.
  • If you are looking for a memory system that leverages distributed databases for scalable access patterns; Ori-Mnemos focuses on local storage using SQLite.
  • In environments where complex, multi-node architectures and high availability requirements demand more than a single point of data persistence.

Choose open-design if…

  • Pricing: Open-source and freely available (Apache-2.0), but may require specific AI coding agents that could have associated costs or usage limits..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for some setups.; Supports integration with over 20 CLI tools, enhancing its utility in scripting and automation..
  • Tags unique to open-design: coding-agents, design-systems, no-code, prototyping.
  • When you need a design tool that works seamlessly on your local system without the need for an internet connection.

When NOT to use open-design

  • If your primary work requires direct connectivity with cloud services or collaborative platforms that mandate online access.
  • When you require a highly interactive collaborative design space where real-time updates and team interactions are critical.
  • For scenarios where the reliance on an extensive list of supported AI agents could hinder integration when using lesser-known or legacy coding tools.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Ori-Mnemos 314 · open-design 77k (synced Jul 11, 2026).

Common questions

What is the difference between Ori-Mnemos and open-design?
Ori-Mnemos: Local-first persistent agentic memory powered by Recursive Memory Harness (RMH).. open-design: 🎨 The open-source Claude Design alternative. 🖥️ Local-first desktop app.. See the comparison table for live GitHub stats and shared categories.
When should I choose Ori-Mnemos over open-design?
Choose Ori-Mnemos over open-design when Tags unique to Ori-Mnemos: agent-memory, knowledge-graph, llm, markdown; Ori-Mnemos ships an MCP server manifest; When you need a robust, local-first solution that prioritizes offline capabilities and security.
When should I choose open-design over Ori-Mnemos?
Choose open-design over Ori-Mnemos when Pricing: Open-source and freely available (Apache-2.0), but may require specific AI coding agents that could have associated costs or usage limits.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for some setups.; Supports integration with over 20 CLI tools, enhancing its utility in scripting and automation.; Tags unique to open-design: coding-agents, design-systems, no-code, prototyping; When you need a design tool that works seamlessly on your local system without the need for an internet connection.
When should I avoid Ori-Mnemos?
When real-time synchronization across devices or cloud integration is a non-negotiable requirement for your application. If you are looking for a memory system that leverages distributed databases for scalable access patterns; Ori-Mnemos focuses on local storage using SQLite. In environments where complex, multi-node architectures and high availability requirements demand more than a single point of data persistence.
When should I avoid open-design?
If your primary work requires direct connectivity with cloud services or collaborative platforms that mandate online access. When you require a highly interactive collaborative design space where real-time updates and team interactions are critical. For scenarios where the reliance on an extensive list of supported AI agents could hinder integration when using lesser-known or legacy coding tools.
Is Ori-Mnemos or open-design more popular on GitHub?
open-design has more GitHub stars (77,242 vs 314). Stars measure visibility, not whether either tool fits your constraints.
Are Ori-Mnemos and open-design open source?
Yes - both are open-source projects on GitHub (Ori-Mnemos: Apache-2.0, open-design: Apache-2.0).
Where can I find alternatives to Ori-Mnemos or open-design?
GraphCanon lists graph-backed alternatives at Ori-Mnemos alternatives and open-design alternatives (Ori-Mnemos markdown twin, open-design markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, Ori-Mnemos or open-design?
Ori-Mnemos: Active. open-design: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for Ori-Mnemos and open-design?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Ori-Mnemos trust report; open-design trust report.

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