Open-source skill category
Memory and context tools for AI agents
Memory layers, semantic stores, and repo context tools that help agents remember useful facts without overreaching.
Who it helps
- • Agent builders adding persistence across sessions
- • Teams deciding what context belongs in memory, retrieval, or source files
What to compare
- • Data model and deletion controls
- • Hosted versus self-hosted deployment
- • How memory is retrieved, ranked, and audited
Trust checks
- • Start with synthetic data
- • Define retention rules before customer data
- • Log what memory was used in outputs
Relevant profiles
Compare the source repos before you adopt a workflow
Each profile links to the public source and explains when to install, study, adapt, or integrate it.
Integration
Mem0
Maintained by mem0ai
Memory layer for AI agents that need persistent user and task context.
View decision guide
Integration
Zep
Maintained by getzep
Long-term memory service for assistants with user, session, and facts context.
View decision guide
Study first
Letta
Maintained by letta-ai
Framework for stateful agents with memory, tools, and long-running behavior.
View decision guide
Integration
MCP Memory Service
Maintained by doobidoo
MCP server that gives compatible agents semantic memory capabilities.
View decision guide
Install candidate
Repomix
Maintained by yamadashy
Pack repository contents into agent-friendly files for analysis and coding tasks.
View decision guide
Shared by public contributors
These repos are public work from their maintainers and communities. BuildLeanSaaS links to the sources for evaluation and does not imply maintainer endorsement.
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