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ariadne-memory

PyPIInfrastructure

PulseGate's liveness check found it on 14 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 29 Jun 2026. How this is checked

ariadne-memory is an open-source memory system for AI agents, combining FAISS vector search, FTS5 keyword search, and knowledge graph traversal. It enables fast, hybrid retrieval and cognitive retention modeling for agent applications.

Inferred · not functionally tested

Open SourceMITCLI
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1alternative
7features
2026since

Overview

6 features

Purpose: Enabling AI agents to efficiently store, search, and retrieve structured memory with minimal infrastructure.

Inferred · not functionally tested

Audience: AI agent developers

Inferred · not functionally tested

Functions: rag

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: MIT · 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.

In the Memory & skills space, ariadne-memory takes a focused approach. Inferred · not functionally tested: It focuses on enabling AI agents to efficiently store, search, and retrieve structured memory with minimal infrastructure. Inferred · not functionally tested: It is built as an open-source project for AI agent developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: ariadne-memory is available on the command line.

kyssta-exe builds and maintains ariadne-memory, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are hybrid search, FAISS vector search, and FTS5 keyword search.

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

Tasks: Inferred · not functionally tested

  • Hybrid search
  • FAISS vector search
  • FTS5 keyword search
  • Knowledge graph traversal
  • Cognitive retention modeling
  • Auto-deduplication

Topics: Inferred · not functionally tested

Tags
agent-memoryhybrid-searchvector-searchknowledge-graphrag
AI capabilities
Structured
Inference: LocalWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub

Indexing history

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Frequently asked questions about ariadne-memory

What does ariadne-memory do?
Inferred · not functionally tested: Ariadne-memory focuses on enabling AI agents to efficiently store, search, and retrieve structured memory with minimal infrastructure. It is catalogued under Memory & skills on PulseGate.
Who should use ariadne-memory?
Inferred · not functionally tested: ariadne-memory is an open-source project built for AI agent developers.
Is ariadne-memory free?
Basis unknown · not verified: Yes — ariadne-memory is open source under the MIT license and free to use.
What platforms does ariadne-memory run on?
Basis unknown · not verified: ariadne-memory runs on the command line.
Is ariadne-memory still active?
PulseGate's liveness check found it on 14 Oct 2026.
What are alternatives to ariadne-memory?
Similar projects tracked by PulseGate include arriadne, memorius, and hydramem.arriadnememoriushydramem
Who develops ariadne-memory?
ariadne-memory is developed by kyssta-exe.
How long has ariadne-memory been around?
ariadne-memory first shipped in 2026.

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