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ayushagrawal288/memex

Production-grade persistent memory service for AI agents — FastAPI + pgvector + local ONNX embeddings

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Our verdict

Not reviewed yet

We have not reviewed ayushagrawal288/memex yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About ayushagrawal288/memex

Memex is a production-grade persistent memory service for AI agents built with FastAPI, pgvector, and local ONNX embeddings. It provides a REST API for storing and retrieving vector embeddings, enabling agents to maintain long-term context across sessions.

Best for

Developers building AI agents that need a self-hosted, scalable memory layer

Use cases

  • Give AI agents persistent memory across conversations or tasks
  • Store and query vector embeddings for semantic search in agent workflows
  • Build a scalable memory backend for multi-agent systems

Notes

0 stars on GitHub. Last updated 2026-06-04. Licensed MIT.

Pros

  • Uses pgvector for efficient vector storage and retrieval
  • Runs locally with ONNX embeddings, no external API dependencies
  • FastAPI provides a modern, performant REST interface

Cons

  • Requires PostgreSQL with pgvector extension, adding infrastructure complexity
  • Limited documentation and community support due to zero stars
  • ONNX embeddings may have lower accuracy than cloud-based alternatives

Key facts

What we have checked

Days since the last commit
144
Checked GitHub
GitHub forks
0
Checked GitHub
GitHub stars
1
Checked GitHub
Open issues
0
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

docker compose up

Tools exposed

  • store_memory
  • search_memories
  • delete_memory
  • count_memories
  • SUMMARIZATION_ENABLED
  • SUMMARIZATION_THRESHOLD
  • SUMMARIZATION_BATCH_SIZE
  • SUMMARIZATION_INTERVAL_SECONDS

Clients the listing names (not checked here)

Claude Desktop, Claude Code

Install

Add ayushagrawal288/memex to your client

Not verified yet

No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.

Until then, follow the project's own README, or the setup the listing publishes under How to set it up.

Works with

What ayushagrawal288/memex connects to

No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.

Health and security

Is ayushagrawal288/memex looked after, and what do its setup files show

Health score

25 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity19.8 of 30Last push 144 days ago
Releases0 of 150 releases in 90 days
Issue repliesNot countedThe latest check has no issue response reading (fewer than 3 measured issues, or issues switched off)
Maintainer0 of 15Owned by a single user
Official source0 of 20Community server

Alternatives

Alternatives to ayushagrawal288/memex

RecordTypeHow we knowChecked
topoteretes/cogneeThis is an alternative to itMCP serverNamed in the listingNot dated

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Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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