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Permem

permem.devInfrastructure

PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and has been in the index since 29 Jun 2026. How this is checked

Permem adds memory to LLM applications. It is built for developers who want an AI system to remember past conversations, preferences, and facts, and it describes this as automatic memory for any LLM.

Inferred · not functionally tested

MITWebAPICLICloud-managed
Permem preview
Visit permem.dev
14stars
2forks
7features
2026since

Overview

6 features

Purpose: Adding persistent, context-aware memory to LLM-powered applications with minimal code.

Inferred · not functionally tested

Audience: AI developers and engineers

Inferred · not functionally tested

Functions: rag, agents

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: unknown · license: MIT · platforms: WEB · deployment: browser, api_only, cli, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: permem.dev · github.com. These links do not verify the individual claims.

Permem is a Memory & skills project. Inferred · not functionally tested: It focuses on adding persistent, context-aware memory to LLM-powered applications with minimal code. Inferred · not functionally tested: It is built as a B2B product for AI developers and engineers. Basis unknown · not verified: Permem is available on the web, API, and the command line.

Permem first shipped in 2026. The project is developed in the open on GitHub with 14 stars. Inferred · not functionally tested: Among its 6 catalogued features are context injection, memory extraction, and knowledge graph. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Context injection
  • Memory extraction
  • Knowledge graph
  • TypeScript SDK
  • Python SDK
  • Automatic deduplication

Topics: Inferred · not functionally tested

Tags
llm-memorycontext-injectionknowledge-graphai-sdkpersistent-memory
AI capabilities
TextStructured
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

Framework
Next.js
Hosting
Vercel
Connectors
API
Runs on
BrowserAPI-onlyCLICloud-managed
Detected from
Next.js
x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
Vercel
x-vercel-id header · x-vercel-cache header

Trust & compliance

License
MIT
Public signals
HTTPSGitHub · ★ 14

Indexing history

What PulseGate has recorded for this listing

Nothing recorded for this listing in this window.

Frequently asked questions about Permem

What is Permem?
Inferred · not functionally tested: Permem focuses on adding persistent, context-aware memory to LLM-powered applications with minimal code. It is catalogued under Memory & skills on PulseGate.
Who is Permem for?
Inferred · not functionally tested: Permem is a B2B product built for AI developers and engineers.
What platforms does Permem run on?
Basis unknown · not verified: Permem runs on the web, API, and the command line.
Is Permem still active?
PulseGate's liveness check found it on 13 Sep 2026.
What projects are similar to Permem?
Similar projects tracked by PulseGate include Memra, supermem, and Memori Labs.MemrasupermemMemori Labs
When did Permem launch?
Permem first shipped in 2026.
Is Permem open source?
Basis unknown · not verified: Permem has a public GitHub repository.
Does Permem have an API or integrations?
Inferred · not functionally tested: Yes — Permem exposes a public API.

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