Who is evermemos-mcp for?

evermemos-mcp is an open-source project built for ai tool developers.

Is evermemos-mcp free?

Yes — evermemos-mcp is open source under the MIT license and free to use.

What platforms does evermemos-mcp run on?

evermemos-mcp runs on the command line and API. It can also be self-hosted.

Is evermemos-mcp still active?

The GitHub repository shows 3 commits in the last 90 days.

What projects are similar to evermemos-mcp?

Similar projects tracked by PulseGate include mnemo-mcp, memanto-mcp, and projectmind-mcp.

Who makes evermemos-mcp?

evermemos-mcp is developed by tt-a1i.

When did evermemos-mcp launch?

evermemos-mcp first shipped in 2026.

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evermemos-mcp

Name: evermemos-mcp
Author: tt-a1i

PyPIInfrastructure

evermemos-mcp is an open-source Model Context Protocol (MCP) server that brings long-term memory capabilities to AI coding tools through integration with EverMemOS. It is intended for developers building or extending AI-powered development tools that require persistent context management.

Open SourceMITCLIAPISelf-hosted

Visit PyPI

16stars

3forks

5features

2026since

Overview

5 features

evermemos-mcp sits in PulseGate's Frameworks & SDKs category. It focuses on enabling AI coding tools to retain and access long-term memory for improved context and performance. It is built as an open-source project for ai tool developers. The project is open source (MIT). It ships for the command line and API, and it can be self-hosted.

tt-a1i builds and maintains evermemos-mcp, and it first shipped in 2026. Development happens publicly on GitHub with 16 stars and 3 commits in the last 90 days. Among its 5 catalogued features are MCP server, long-term memory, and AI tool integration. It exposes integrations via an MCP server.

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

MCP server
Long-term memory
AI tool integration
EverMemOS support
API access

Built with & integrations

Connectors

MCP

Runs on

CLIAPI-onlySelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 16Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed9 Jul · 13:29 UTC
evermemos-mcp verified against its public source
Source: PulseGate · Open

Frequently asked questions about evermemos-mcp

What does evermemos-mcp do?: Evermemos-mcp focuses on enabling AI coding tools to retain and access long-term memory for improved context and performance. It is catalogued under Frameworks & SDKs on PulseGate.
Who is evermemos-mcp for?: evermemos-mcp is an open-source project built for ai tool developers.
Is evermemos-mcp free?: Yes — evermemos-mcp is open source under the MIT license and free to use.
What platforms does evermemos-mcp run on?: evermemos-mcp runs on the command line and API. It can also be self-hosted.
Is evermemos-mcp still active?: The GitHub repository shows 3 commits in the last 90 days.
What projects are similar to evermemos-mcp?: Similar projects tracked by PulseGate include mnemo-mcp, memanto-mcp, and projectmind-mcp.mnemo-mcp memanto-mcp projectmind-mcp
Who makes evermemos-mcp?: evermemos-mcp is developed by tt-a1i.
When did evermemos-mcp launch?: evermemos-mcp first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 16
License: MIT
First seen: 9 Jul 2026
Built for: ai tool developers
Model: Open source
Solves: Enabling AI coding tools to retain and access long-term memory for improved context and performance.

Registered as

GitHub: tt-a1i/evermemos-mcp
PyPI: evermemos-mcp

Developer

tt-a1i

Small team

GitHub

Open source

View on GitHub

Stars: 16
Forks: 3
Open issues: 1
Last commit: 9 Jul 2026
Commits 90d: 3
Contributors: 2
Authorship: Small team
Default branch: main
Latest release: v0.5.7 · 9 Jul 2026

Index record

Identity confidence: Low · 64
Indexed: 9 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 9 Jul 2026

Identity audit (12)

Slug: evermemos-mcp-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: 9 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
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://pypi.org/project/evermemos-mcp

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