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memory-for-ai

PyPIInfrastructure

PulseGate's liveness check found it on 5 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 4 Sep 2026. How this is checked

memory-for-ai is an MIT-licensed Python package that provides code intelligence for AI coding agents. It installs a verified native runtime set and supports codebase and MCP-oriented workflows for agent memory and analysis.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Giving AI coding agents fast, reliable codebase intelligence and local runtime support.

Inferred · not functionally tested

Audience: AI coding agent developers

Inferred · not functionally tested

Functions: code_generation, rag

Inferred · not functionally tested

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · 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.

memory-for-ai is a Memory & skills project. Inferred · not functionally tested: It focuses on giving AI coding agents fast, reliable codebase intelligence and local runtime support. Inferred · not functionally tested: It is built as an open-source project for AI coding agent developers. Basis unknown · not verified: memory-for-ai is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind memory-for-ai is LonelyTraderBay, and it first shipped in 2026. The project is developed in the open on GitHub with 62 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include code intelligence, native runtime, and codebase analysis. Basis unknown · not verified: Catalogued interfaces include an MCP server.

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

Tasks: Inferred · not functionally tested

  • Code intelligence
  • Native runtime
  • Codebase analysis
  • Agent memory
  • MCP support
  • Python package

Topics: Inferred · not functionally tested

Tags
code-intelligenceai-coding-agentsnative-runtimecodebase-memory
AI capabilities
Code
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCPgithub
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed4 Sep · 21:31 UTC
    memory-for-ai seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about memory-for-ai

What does memory-for-ai do?
Inferred · not functionally tested: Memory-for-ai focuses on giving AI coding agents fast, reliable codebase intelligence and local runtime support. It is catalogued under Memory & skills on PulseGate.
Who is memory-for-ai for?
Inferred · not functionally tested: memory-for-ai is an open-source project built for AI coding agent developers.
Does memory-for-ai have a free plan?
Basis unknown · not verified: Yes — memory-for-ai is open source under the MIT license and free to use.
What platforms does memory-for-ai run on?
Basis unknown · not verified: memory-for-ai runs on the command line. It can also be self-hosted.
Is memory-for-ai still maintained?
PulseGate's liveness check found it on 5 Oct 2026. Its GitHub repository shows 62 commits in the last 90 days.
What are alternatives to memory-for-ai?
Similar projects tracked by PulseGate include bettermemory, agentmemory, and ai-dememory.bettermemoryagentmemoryai-dememory
Who makes memory-for-ai?
memory-for-ai is developed by LonelyTraderBay.
When did memory-for-ai launch?
memory-for-ai first shipped in 2026.

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