hydramem
PulseGate's liveness check found it on 14 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 1 Jul 2026. How this is checked
hydramem is an open-source library that provides local, privacy-first long-term memory for AI agents. It combines hybrid graph and vector search, two-stage verification, and autonomous maintenance to help developers build agents with persistent, efficient, and private memory storage. Ideal for AI developers focused on privacy and autonomy.
Inferred · not functionally tested
Overview
6 featuresPurpose: Enabling AI agents to store and retrieve long-term memory locally with privacy and efficient search.
Inferred · not functionally tested
Audience: AI developers building autonomous agents
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: unknown · MCP: unknown · 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.
hydramem is a Memory & skills project. Inferred · not functionally tested: It focuses on enabling AI agents to store and retrieve long-term memory locally with privacy and efficient search. Inferred · not functionally tested: hydramem is an open-source project aimed at AI developers building autonomous agents. Basis unknown · not verified: hydramem is open source under the MIT license. Basis unknown · not verified: hydramem is available on the command line, and it can be self-hosted.
Behind hydramem is xusliebana, and it first shipped in 2026. The project is developed in the open on GitHub with 11 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include hybrid search, graph database, and vector search.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Hybrid search
- Graph database
- Vector search
- Local storage
- Privacy-first
- Two-stage verification
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about hydramem
- What does hydramem do?
- Inferred · not functionally tested: Hydramem focuses on enabling AI agents to store and retrieve long-term memory locally with privacy and efficient search. It is catalogued under Memory & skills on PulseGate.
- Who should use hydramem?
- Inferred · not functionally tested: hydramem is an open-source project built for AI developers building autonomous agents.
- Is hydramem free?
- Basis unknown · not verified: Yes — hydramem is open source under the MIT license and free to use.
- What platforms does hydramem run on?
- Basis unknown · not verified: hydramem runs on the command line. It can also be self-hosted.
- Is hydramem still maintained?
- PulseGate's liveness check found it on 14 Oct 2026. Its GitHub repository shows 11 commits in the last 90 days.
- What projects are similar to hydramem?
- Similar projects tracked by PulseGate include hmc-memory, memorius, and mymem0ry.hmc-memorymemoriusmymem0ry
- Who makes hydramem?
- hydramem is developed by xusliebana.
- How long has hydramem been around?
- hydramem first shipped in 2026.
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