Overview
Research summary
MemMachine is a memory layer for agents and language-model applications that need context across sessions or restarts. It separates episodic conversational information, longer-lived user profile facts, and working context, using graph and SQL storage for different memory functions. Applications connect through client libraries to a running server and can store or retrieve information independently of a particular model. The open-source server can be self-hosted, while the project's managed platform is a separate deployment option. It is memory infrastructure rather than an agent orchestration framework.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for MemMachine.
Implementation details
Python memory server and client libraries
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 4
- https://memmachine.ai Project page
- https://github.com/MemMachine/MemMachine Linked repository · Research reference
- https://github.com/MemMachine/MemMachine/blob/main/README.md Research reference
- https://api.github.com/repos/MemMachine/MemMachine Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 2 channels
Communities
- Discorddiscord.gg/usydANvKqDOfficial
- GitHub Discussionsgithub.com/MemMachine/MemMachine/discussionsOfficial
Link details for GitHub Discussions
- Last checked