Who is engram-ms for?

engram-ms is an open-source project built for AI agent developers.

Yes — engram-ms is open source under the MIT license and free to use.

What platforms does engram-ms run on?

engram-ms runs on the command line and API. It can also be self-hosted.

Is engram-ms still active?

The GitHub repository shows 113 commits in the last 90 days.

What projects are similar to engram-ms?

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

Who develops engram-ms?

engram-ms is developed by aop60003.

When did engram-ms launch?

engram-ms first shipped in 2026.

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engram-ms

Name: engram-ms
Author: aop60003

github.comInfrastructure

engram-ms is an open-source memory system for AI agents, offering persistent storage with SQLite and FTS5, MCP protocol integration, and quality gates. It enables developers to add robust, searchable memory to their AI agents and workflows.

Open SourceMITCLIAPISelf-hosted

Visit github.com

Overview

5 features

engram-ms is a Frameworks & SDKs project. It focuses on providing persistent, searchable memory for AI agents with easy integration and quality controls. engram-ms is an open-source project aimed at AI agent developers. engram-ms is open source under the MIT license. engram-ms is available on the command line and API, and it can be self-hosted.

aop60003 builds and maintains engram-ms, and it first shipped in 2026. The project is developed in the open on GitHub with 113 commits in the last 90 days. Among its 5 catalogued features are SQLite memory, FTS5 search, and MCP integration. It exposes integrations via an MCP server and a public API.

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

SQLite memory
FTS5 search
MCP integration
Quality gates
Agent memory

Built with & integrations

AI providers

anthropicopenai

Connectors

MCPAPI

Runs on

CLIAPI-onlySelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jun · 15:17 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about engram-ms

What does engram-ms do?: Engram-ms focuses on providing persistent, searchable memory for AI agents with easy integration and quality controls. It is catalogued under Frameworks & SDKs on PulseGate.
Who is engram-ms for?: engram-ms is an open-source project built for AI agent developers.
Is engram-ms free?: Yes — engram-ms is open source under the MIT license and free to use.
What platforms does engram-ms run on?: engram-ms runs on the command line and API. It can also be self-hosted.
Is engram-ms still active?: The GitHub repository shows 113 commits in the last 90 days.
What projects are similar to engram-ms?: Similar projects tracked by PulseGate include engramai, engram-team, and EngramX.engramai engram-team EngramX
Who develops engram-ms?: engram-ms is developed by aop60003.
When did engram-ms launch?: engram-ms first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: AI agent developers
Model: Open source
Solves: Providing persistent, searchable memory for AI agents with easy integration and quality controls.

Registered as

GitHub: aop60003/default
PyPI: engram-ms

Developer

aop60003

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 1
Last commit: 22 May 2026
Commits 90d: 113
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: engram-ctx-p1 · 3 May 2026

Index record

Identity confidence: Low · 64
Indexed: 27 Jun 2026
Lifecycle: Alive
Last seen: 27 Jun 2026

Identity audit (12)

Slug: engram-ms-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: 27 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: Assigned by a language model.
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/aop60003/default

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