How do I install Recall?
Use `pip install ai-recallworks` or run `uvx ai-recallworks stdio` directly (via `uv`).
@RecallWorks
Basic information
Open-source MCP memory server for AI agents — persistent, searchable, tiered memory across sessions. Works over stdio (Cursor, Claude Desktop) or HTTP+SSE. MIT licensed (separate commercial license available).
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"recall": {
"command": "uvx",
"args": [
"ai-recallworks",
"stdio"
]
}
}
}store a note with source/session tags
semantic search across memories
health + stats
Recall is an open-source MCP memory server that provides persistent, searchable, tiered memory for AI agents across sessions. It is designed for developers building multi‑session AI workflows with the Model Context Protocol.
Install via pip install ai-recallworks or run directly with uvx ai-recallworks stdio. For Cursor or Claude Desktop, add the provided JSON configuration calling uvx ai-recallworks stdio under mcpServers. Once running, use the built‑in tools (e.g., remember, recall) to store and retrieve memories.
recallcheckpoint and reflectpulseUse `pip install ai-recallworks` or run `uvx ai-recallworks stdio` directly (via `uv`).
Add a `recall` entry to the `mcpServers` object with command `uvx` and arguments `["ai-recallworks", "stdio"]`.
It offers `remember` (store a note), `recall` (semantic search), `checkpoint` / `reflect` (session lifecycle), and `pulse` (health + stats).
Yes, Recall supports HTTP+SSE mode for remote or multi‑agent setups.
Recall is MIT licensed, with a separate commercial license available.

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