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getmem-ai

getmem.aiInfrastructure

PulseGate's liveness check found it on 9 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 25 Jun 2026. How this is checked

getmem.ai is a persistent memory API for AI agents. It is described as a memory layer for agent applications that need to keep track of prior conversation turns and return grounded context on each new turn, with isolated per-end-user memory and reduced context token use.

Inferred · not functionally tested

Open SourceMITWebCLIAPISelf-hosted
getmem-ai preview
Visit getmem.ai

Overview

5 features

Purpose: Enabling AI agents to store and retrieve persistent contextual memory for improved reasoning and context retention.

Inferred · not functionally tested

Audience: AI developers and agent framework builders

Inferred · not functionally tested

Functions: rag, data_extraction

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: getmem.ai · github.com. These links do not verify the individual claims.

In the Memory & skills space, getmem-ai takes a focused approach. Inferred · not functionally tested: It focuses on enabling AI agents to store and retrieve persistent contextual memory for improved reasoning and context retention. Inferred · not functionally tested: It is built as an open-source project for AI developers and agent framework builders. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: getmem-ai is available on the web, the command line, and API, and it can be self-hosted.

It is developed by getmem-ai, and it first shipped in 2026. Development happens publicly on GitHub with 36 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are persistent memory, API access, and agent integration. 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

  • Persistent memory
  • API access
  • Agent integration
  • RAG support
  • Open source

Topics: Inferred · not functionally tested

Tags
agent-memoryrag-apillm-context
AI capabilities
Structured

JSON profile · Text profile · Access guide

Built with & integrations

Hosting
Cloudflare
AI providers
multiple
Connectors
API
Runs on
BrowserCLIAPI-onlySelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Nothing recorded for this listing in this window.

Frequently asked questions about getmem-ai

What is getmem-ai?
Inferred · not functionally tested: Getmem-ai focuses on enabling AI agents to store and retrieve persistent contextual memory for improved reasoning and context retention. It is catalogued under Memory & skills on PulseGate.
Who is getmem-ai for?
Inferred · not functionally tested: getmem-ai is an open-source project built for AI developers and agent framework builders.
Does getmem-ai have a free plan?
Basis unknown · not verified: Yes — getmem-ai is open source under the MIT license and free to use.
What platforms does getmem-ai run on?
Basis unknown · not verified: getmem-ai runs on the web, the command line, and API. It can also be self-hosted.
Is getmem-ai still active?
PulseGate's liveness check found it on 9 Sep 2026. Its GitHub repository shows 36 commits in the last 90 days.
What are alternatives to getmem-ai?
Similar projects tracked by PulseGate include AgentMem, supermem, and Mem0.AgentMemsupermemMem0
Who makes getmem-ai?
getmem-ai is developed by getmem-ai.
How long has getmem-ai been around?
getmem-ai first shipped in 2026.

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