SolidSearch

ori-memory

io.github.aayoawoyemi/ori-memory · v0.3.0

Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.

Gecko Rating
59
Solid
GitHub Stars
337
as of 2026-11-14
Transport
Stdio
v0.3.0
Last Update
2026-04-09

Ready-to-paste config for every major MCP client

claude mcp add ori-memory -- npx io.github.aayoawoyemi/ori-memory # or uvx io.github.aayoawoyemi/ori-memory for Python
Stdio transport · runs the server as a local subprocess.Claude Code docs

50-499 stars · mature enough to trust in a real workflow.

Has repo
Has website
Classified
Transport specified

Same category · same transport · ranked by stars

Top picks in the same category

Drop into your README · auto-updates when the rating changes

ori-memory · Gecko Rating
[![ori-memory · Gecko Rating](https://benchgecko.ai/badge/mcp/ori-memory.svg)](https://benchgecko.ai/mcp/ori-memory)
The badge auto-updates · your tier and star count refresh every 24 h.

Auto-generated from the dataset · updated daily

What is ori-memory?

ori-memory is an MCP (Model Context Protocol) server in the Search category. Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.

How is ori-memory rated?

BenchGecko rates ori-memory Solid on the Gecko Rating ladder (59/100). 50-499 stars · mature enough to trust in a real workflow. The underlying GitHub repository has 337 stars.

How do I install ori-memory?

ori-memory supports Claude Code, Cursor, Windsurf, and VS Code. Each client needs a different config format · BenchGecko shows ready-to-paste snippets for all four above. Stdio servers run locally via npx; streamable-http and SSE servers connect over the network.

Keep exploring the BenchGecko graph