Skip to content
Back to the index

hermes-semantic-memory

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 18 Jul 2026. How this is checked

hermes-semantic-memory is an open-source Python package that supplies semantic memory and float16 embeddings with Q4 quantization for the Hermes Agent framework. It supports sentence-transformers and enables efficient memory management for AI agent applications. Ideal for developers building advanced agent systems.

Inferred · not functionally tested

Open SourceMITCLIAPISelf-hosted
Visit PyPI

Overview

5 features

Purpose: Providing efficient semantic memory and embedding storage for AI agents using quantized models.

Inferred · not functionally tested

Audience: AI developers building agent frameworks

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: indicated (inferred, not tested)

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

Constraint provenance is unknown; confirm requirements with the publisher.

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

hermes-semantic-memory is a Memory & skills project. Inferred · not functionally tested: It focuses on providing efficient semantic memory and embedding storage for AI agents using quantized models. Inferred · not functionally tested: hermes-semantic-memory is an open-source project aimed at AI developers building agent frameworks. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line and API, and it can be self-hosted.

It is developed by RUFFY-369, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include semantic memory, embeddings support, and Q4 quantization.

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

Tasks: Inferred · not functionally tested

  • Semantic memory
  • Embeddings support
  • Q4 quantization
  • Sentence transformers
  • Hermes Agent integration

Topics: Inferred · not functionally tested

Tags
semantic-memoryembeddingshermes-agentq4-quantizationsentence-transformers
AI capabilities
StructuredText

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLIAPI-onlySelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed18 Jul · 13:16 UTC
    hermes-semantic-memory seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about hermes-semantic-memory

What is hermes-semantic-memory?
Inferred · not functionally tested: Hermes-semantic-memory focuses on providing efficient semantic memory and embedding storage for AI agents using quantized models. It is catalogued under Memory & skills on PulseGate.
Who is hermes-semantic-memory for?
Inferred · not functionally tested: hermes-semantic-memory is an open-source project built for AI developers building agent frameworks.
Is hermes-semantic-memory free?
Basis unknown · not verified: Yes — hermes-semantic-memory is open source under the MIT license and free to use.
What platforms does hermes-semantic-memory run on?
Basis unknown · not verified: hermes-semantic-memory runs on the command line and API. It can also be self-hosted.
Is hermes-semantic-memory still active?
PulseGate's liveness check found it on 14 Sep 2026.
What projects are similar to hermes-semantic-memory?
Similar projects tracked by PulseGate include memex-hermes, hermes-brain-memory, and hermes-tiered-memory.memex-hermeshermes-brain-memoryhermes-tiered-memory
Who makes hermes-semantic-memory?
hermes-semantic-memory is developed by RUFFY-369.
When did hermes-semantic-memory launch?
hermes-semantic-memory first shipped in 2026.

Similar projects

Closest matches by what these projects do