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dory-memory

github.comInfrastructure

PulseGate's liveness check found it on 14 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 26 Jun 2026. How this is checked

dory-memory is an open-source Python package that provides agent memory management using graph-based spreading activation retrieval and principled forgetting. It is designed for developers building AI agents that require long-term memory and efficient retrieval mechanisms. The package supports integration with retrieval-augmented generation workflows.

Inferred · not functionally tested

Open SourceApache-2.0CLI
dory-memory preview
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1star
5features
2026since

Overview

5 features

Purpose: Managing and retrieving long-term memory for AI agents using graph-based activation and forgetting.

Inferred · not functionally tested

Audience: AI agent developers

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: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

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

dory-memory is a Memory & skills project. Inferred · not functionally tested: It focuses on managing and retrieving long-term memory for AI agents using graph-based activation and forgetting. Inferred · not functionally tested: dory-memory is an open-source project aimed at AI agent developers. Basis unknown · not verified: dory-memory is open source under the Apache-2.0 license. Basis unknown · not verified: dory-memory is available on the command line.

It is developed by MichaelWMartinII, and it first shipped in 2026. The project is developed in the open on GitHub with 27 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include graph-based retrieval, principled forgetting, and long-term memory. 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

  • Graph-based retrieval
  • Principled forgetting
  • Long-term memory
  • Spreading activation
  • RAG integration

Topics: Inferred · not functionally tested

Tags
agent-memorygraph-retrievalrag-integration
AI capabilities
Structured
Inference: LocalWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropicopenailocal_oss
Connectors
API
Runs on
CLI

Trust & compliance

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

Indexing history

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Frequently asked questions about dory-memory

What does dory-memory do?
Inferred · not functionally tested: Dory-memory focuses on managing and retrieving long-term memory for AI agents using graph-based activation and forgetting. It is catalogued under Memory & skills on PulseGate.
Who should use dory-memory?
Inferred · not functionally tested: dory-memory is an open-source project built for AI agent developers.
Does dory-memory have a free plan?
Basis unknown · not verified: Yes — dory-memory is open source under the Apache-2.0 license and free to use.
What platforms does dory-memory run on?
Basis unknown · not verified: dory-memory runs on the command line.
Is dory-memory still maintained?
PulseGate's liveness check found it on 14 Oct 2026. Its GitHub repository shows 27 commits in the last 90 days.
Who develops dory-memory?
dory-memory is developed by MichaelWMartinII.
How long has dory-memory been around?
dory-memory first shipped in 2026.
Is dory-memory open source?
Basis unknown · not verified: Yes — dory-memory is open source under the Apache-2.0 license, developed on GitHub.

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