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supermem

PyPIInfrastructure

PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 30 Jun 2026. How this is checked

supermem is an open-source command-line tool that provides persistent AI memory using a four-tier retrieval system, integrating SQLite FTS5, graph, vector, and LLM agent layers. It is designed for AI developers and researchers seeking advanced memory and retrieval capabilities for language models.

Inferred · not functionally tested

Open SourceApache-2.0CLI
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1star
4features
2025since

Overview

4 features

Purpose: Enabling persistent, multi-modal AI memory and retrieval for LLM agents without relying on RAG.

Inferred · not functionally tested

Audience: AI developers and researchers

Inferred · not functionally tested

Functions: rag, agents

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

supermem is a Memory & skills project. Inferred · not functionally tested: It focuses on enabling persistent, multi-modal AI memory and retrieval for LLM agents without relying on RAG. Inferred · not functionally tested: It is built as an open-source project for AI developers and researchers. Basis unknown · not verified: supermem is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the command line.

It is developed by lamenting-hawthorn, and it first shipped in 2025. Development happens publicly on GitHub with 26 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include persistent memory, multi-tier retrieval, and LLM agent integration. Basis unknown · not verified: Catalogued interfaces include an MCP server.

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

Tasks: Inferred · not functionally tested

  • Persistent memory
  • Multi-tier retrieval
  • LLM agent integration
  • Semantic search

Topics: Inferred · not functionally tested

Tags
ai-memorysemantic-searchllm-agent
AI capabilities
TextStructured
Weights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Framework
FastAPI
AI providers
anthropicopenailocal_oss
Connectors
MCP
Runs on
CLI

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

What PulseGate has recorded for this listing

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Frequently asked questions about supermem

What does supermem do?
Inferred · not functionally tested: Supermem focuses on enabling persistent, multi-modal AI memory and retrieval for LLM agents without relying on RAG. It is catalogued under Memory & skills on PulseGate.
Who is supermem for?
Inferred · not functionally tested: supermem is an open-source project built for AI developers and researchers.
Does supermem have a free plan?
Basis unknown · not verified: Yes — supermem is open source under the Apache-2.0 license and free to use.
What platforms does supermem run on?
Basis unknown · not verified: supermem runs on the command line.
Is supermem still maintained?
PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 26 commits in the last 90 days.
What are alternatives to supermem?
Similar projects tracked by PulseGate include getmem-ai, mymem0ry, and memman.getmem-aimymem0rymemman
Who develops supermem?
supermem is developed by lamenting-hawthorn.
When did supermem launch?
supermem first shipped in 2025.

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