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knott

PyPIInfrastructure

PulseGate's liveness check found it on 7 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 7 Oct 2026. How this is checked

knott is an MIT-licensed, local knowledge layer for AI agents that stores typed entities and schemas in Markdown files. It supports frontmatter and semantic relations for developers building file-first, self-hosted agent memory systems.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

6 features

Purpose: Managing persistent, structured knowledge and relationships for AI agents without relying on a hosted database.

Inferred · not functionally tested

Audience: AI agent developers

Inferred · not functionally tested

Functions: Unknown

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

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

knott sits in PulseGate's Memory & skills category. Inferred · not functionally tested: It focuses on managing persistent, structured knowledge and relationships for AI agents without relying on a hosted database. 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: It ships for the command line, and it can be self-hosted.

It is developed by nesterione, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are typed entities, markdown storage, and schemas.

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

Tasks: Inferred · not functionally tested

  • Typed entities
  • Markdown storage
  • Schemas
  • Semantic relations
  • Frontmatter support
  • File-first storage

Topics: Inferred · not functionally tested

Tags
agent-memorymarkdown-knowledge-basetyped-entitiessemantic-relations
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHub

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed7 Oct · 13:18 UTC
    knott seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about knott

What is knott?
Inferred · not functionally tested: Knott focuses on managing persistent, structured knowledge and relationships for AI agents without relying on a hosted database. It is catalogued under Memory & skills on PulseGate.
Who should use knott?
Inferred · not functionally tested: knott is an open-source project built for AI agent developers.
Is knott free?
Basis unknown · not verified: Yes — knott is open source under the MIT license and free to use.
What platforms does knott run on?
Basis unknown · not verified: knott runs on the command line. It can also be self-hosted.
Is knott still active?
PulseGate's liveness check found it on 7 Oct 2026.
What are alternatives to knott?
Similar projects tracked by PulseGate include recall-agents, darwinagent, and cloxy.recall-agentsdarwinagentcloxy
Who makes knott?
knott is developed by nesterione.
When did knott launch?
knott first shipped in 2026.

Also in Memory & skills

Same category — not a similarity match