krimto-labs/krimto
by Various
Open-source team memory layer for AI coding agents — markdown files in git, user→team→org hierarchy, cross-vendor MCP server. Apache-2.0.
MCP
krimto-labs/krimto
Added 7 June 2026
Overview
Krimto is an open-source team memory layer for AI coding agents. It stores memories as markdown files in a git repository, organized by user, team, and org hierarchy. A cross-vendor MCP server lets agents read and write this shared context.
Best for
Best for
Teams using multiple AI coding agents that need shared, versioned persistent context
Use cases
- Persisting agent context across coding sessions in git-backed markdown
- Sharing team-specific knowledge among multiple AI coding agents
- Structuring memories with user, team, and org levels for multi-agent collaboration
Notes
Krimto is an open-source team memory layer for AI coding agents. It stores memories as markdown files in a git repository, organized by user, team, and org hierarchy. A cross-vendor MCP server lets agents read and write this shared context.
5 stars on GitHub. Last updated 2026-06-02. Licensed Apache-2.0.
Use cases
- Persisting agent context across coding sessions in git-backed markdown
- Sharing team-specific knowledge among multiple AI coding agents
- Structuring memories with user, team, and org levels for multi-agent collaboration
Pros
- Open source with Apache-2.0 license, no vendor lock-in
- Uses git for version control and familiar workflow
- Cross-vendor MCP server works with different AI coding tools
Cons
- Requires a git workflow and repository setup
- Markdown files may become unwieldy for large or rapidly changing memories
- Early-stage project with limited adoption (5 stars)
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source with Apache-2.0 license, no vendor lock-in
- Uses git for version control and familiar workflow
- Cross-vendor MCP server works with different AI coding tools
Cons
- Requires a git workflow and repository setup
- Markdown files may become unwieldy for large or rapidly changing memories
- Early-stage project with limited adoption (5 stars)
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