ai-dememory
PulseGate's liveness check found it on 14 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 10 Jul 2026. How this is checked
ai-dememory is an open-source toolchain and MCP server that enables AI agents to store, manage, and retrieve memory locally across multiple large language models. It is designed for developers building personal or autonomous AI systems that require persistent, local-first memory infrastructure.
Inferred · not functionally tested
Overview
5 featuresPurpose: Provides a local-first memory and toolchain infrastructure for AI agents to manage and retrieve information across multiple LLMs.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: agents
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
ai-dememory sits in PulseGate's Memory & skills category. Inferred · not functionally tested: It provides a local-first memory and toolchain infrastructure for AI agents to manage and retrieve information across multiple LLMs. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It ships for the command line and API, and it can be self-hosted.
ai-dememory first shipped in 2026. Development happens publicly on GitHub with 12 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are multi-LLM support, local-first memory, and MCP server. Inferred · not functionally tested: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Multi-LLM support
- Local-first memory
- MCP server
- Personal toolchain
- Open source
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about ai-dememory
- What is ai-dememory?
- Inferred · not functionally tested: Ai-dememory provides a local-first memory and toolchain infrastructure for AI agents to manage and retrieve information across multiple LLMs. It is catalogued under Memory & skills on PulseGate.
- Who is ai-dememory for?
- Inferred · not functionally tested: ai-dememory is an open-source project built for developers.
- Is ai-dememory free?
- Basis unknown · not verified: Yes — ai-dememory is open source under the Apache-2.0 license and free to use.
- What platforms does ai-dememory run on?
- Basis unknown · not verified: ai-dememory runs on the command line and API. It can also be self-hosted.
- Is ai-dememory still active?
- PulseGate's liveness check found it on 14 Oct 2026. Its GitHub repository shows 12 commits in the last 90 days.
- What are alternatives to ai-dememory?
- Similar projects tracked by PulseGate include devmemory-ai, getmem-ai, and Memory for AI.devmemory-aigetmem-aiMemory for AI
- How long has ai-dememory been around?
- ai-dememory first shipped in 2026.
- Is ai-dememory open source?
- Basis unknown · not verified: Yes — ai-dememory is open source under the Apache-2.0 license, developed on GitHub.
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