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Provide persistent memory and hybrid search for AI coding assistants.
This tool is described as a self-hosted MCP memory server with no required secrets and no declared remote endpoints, with no clear signs of high-risk exfiltration or credential abuse. The main concerns are local execution and persistent storage of memory data, plus low community adoption and unknown maintenance status.
The materials explicitly state that no keys or environment variables are required. No API tokens, account credentials, or other sensitive authentication data are requested, so credential leakage and abuse risk appears low.
No remote endpoints are declared, and the tool is described as a self-hosted memory server. Based on the available materials, there is no factual indication that it sends user data to external services or unknown hosts.
The system flags executes-code, indicating it can run code or a service locally. This is a common MCP capability and warrants attention to runtime permissions and host isolation, but by itself it is not sufficient to classify as high risk.
Its stated function is 'persistent memory,' so it likely performs persistent local read/write and retrieval of memory data. That means it may handle user conversations, code snippets, or work context; storage location, retention, and access controls should be reviewed, but the materials do not show obvious overbroad access.
The project is open source under the MIT License, which is a positive sign for auditability. However, it comes from a third-party registry, has only 0 stars, and has unknown maintenance status, so supply-chain trust is moderate and cautious review of source code and dependencies is advisable before installation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Recall" yet — see the docs or source repo.
Save this project's tech stack, folder structure, coding conventions, and current TODOs to Recall for later coding sessions.
The tool stores key project details in persistent memory for future retrieval and reuse.
Search Recall for past discussions, architecture decisions, and known constraints about the authentication module, then summarize them.
It returns relevant memories and produces an actionable summary of past decisions.
Save the debugging findings from Cursor to Recall, then load them in Claude Code to continue fixing the issue.
It enables shared context across AI coding tools, reducing repeated explanations and lost information.
Give AI assistants persistent memory, semantic search, and layered context management.
Persist Claude Code conversations and retrieve relevant context across sessions.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.
Give Claude Code persistent memory and semantic context retrieval across sessions.
Give AI coding tools persistent memory across sessions, devices, and workflows.
Manage personal memory, profiles, notes, and semantic search in one place.