Who should use engramai?

engramai is an open-source project built for AI developers.

Yes — engramai is open source under the AGPL-3.0 license and free to use.

What platforms does engramai run on?

engramai runs on the web and the command line.

Is engramai still active?

The GitHub repository shows 615 commits in the last 90 days.

What projects are similar to engramai?

Similar projects tracked by PulseGate include engram-ms, engram-team, and EngramX.

engramai is developed by tonitangpotato.

When did engramai launch?

engramai first shipped in 2026.

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engramai

Name: engramai
Author: tonitangpotato

github.comInfrastructure

engramai is an open-source memory system for AI agents, grounded in neuroscience principles. It supports multi-agent environments, semantic search, and emotional feedback, helping developers build more context-aware and adaptive AI systems.

Open SourceAGPL-3.0WebCLI

Visit github.com

40stars

6forks

5features

2026since

Overview

5 features

engramai sits in PulseGate's Memory & skills category. It focuses on providing AI agents with a robust, neuroscience-inspired memory system for better context and decision-making. engramai is an open-source project aimed at AI developers. engramai is open source under the AGPL-3.0 license. engramai is available on the web and the command line.

Behind engramai is tonitangpotato, and it first shipped in 2026. The project is developed in the open on GitHub with 40 stars and 615 commits in the last 90 days. Key capabilities include semantic search, multi-agent support, and emotional feedback.

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

Semantic search
Multi-agent support
Emotional feedback
Memory system
Open source

Built with & integrations

Runs on

BrowserCLI

Trust & compliance

License

AGPL-3.0

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 40Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed17 Jun · 19:41 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about engramai

What is engramai?: Engramai focuses on providing AI agents with a robust, neuroscience-inspired memory system for better context and decision-making. It is catalogued under Memory & skills on PulseGate.
Who should use engramai?: engramai is an open-source project built for AI developers.
Is engramai free?: Yes — engramai is open source under the AGPL-3.0 license and free to use.
What platforms does engramai run on?: engramai runs on the web and the command line.
Is engramai still active?: The GitHub repository shows 615 commits in the last 90 days.
What projects are similar to engramai?: Similar projects tracked by PulseGate include engram-ms, engram-team, and EngramX.engram-ms engram-team EngramX
Who makes engramai?: engramai is developed by tonitangpotato.
When did engramai launch?: engramai first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 40
License: AGPL-3.0
Built for: AI developers
Model: Open source
Solves: Providing AI agents with a robust, neuroscience-inspired memory system for better context and decision-making.

Registered as

GitHub: tonitangpotato/engram-ai
PyPI: engramai

Developer

tonitangpotato

Team

GitHub

Open source

View on GitHub

Stars: 40
Forks: 6
Open issues: 2
Last commit: 13 Jun 2026
Commits 90d: 615
Contributors: 10
Authorship: Team
Default branch: main

Index record

Identity confidence: Low · 64
Indexed: 17 Jun 2026
Lifecycle: Alive
Last seen: 17 Jun 2026

Identity audit (12)

Slug: engramai-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 17 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/tonitangpotato/engram-ai

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