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Store and retrieve project memory for coding assistants via MCP tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "int" yet — see the docs or source repo.
Please save this project memory to int: 'The cause of the 401 on payment callbacks was a missing X-Signature header in the staging gateway; it has been fixed in nginx forwarding. Tags: payments, auth, nginx.'
A new project memory entry is added for future debugging or development lookup.
Use int to search this project for memories related to 'database connection pool exhaustion' and summarize the mitigation steps used before.
Relevant memories are returned and summarized into reusable mitigation steps.
List the memories saved for the current project in int; identify duplicate or outdated entries and delete one that is clearly invalid.
The project memory list is shown and one justified cleanup action is completed.
When developers need to preserve validated findings, conventions, and debugging notes across coding sessions, they can save and later retrieve them on a per-project basis.
When a coding assistant repeatedly investigates similar issues, this tool helps recall prior learnings so the same discovery work does not need to be repeated.
Individuals or teams can capture key technical decisions, common pitfalls, and fixes as project-scoped memories for later search, listing, and cleanup.
It is a self-hosted AI memory system for coding assistants that provides project-scoped memory storage and retrieval through MCP tools. Known operations include add, search, list, and delete.
It is suited for recording prior conclusions during coding, debugging, and technical investigation, then retrieving them in later sessions. This reduces repeated discovery work without rerunning earlier exploration.
The provided information only states that it is self-hosted and used through MCP tools; it does not include installation steps, runtime details, or key requirements. See the source repository for more details.
Give local AI coding assistants persistent memory and semantic code search.
Give AI coding assistants persistent, conflict-aware memory across projects and sessions.
Give AI assistants a persistent, searchable memory layer and context management.
Give AI assistants persistent memory, semantic search, and layered context management.
Give AI coding assistants persistent memory and full-text knowledge retrieval.
Give AI coding assistants persistent, structured project memory stored as local Markdown.