io.github.jyswee/agenticmemory
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Publisher-provided description
Persistent memory for AI agents — history, context, semantic search, queues. 46 tools, stdio/SSE.
Summary by lookupd
Lets agents store and recall conversation history, key-value context, knowledge-graph entities, queues and scratchpads, with semantic…
Install
Claude Code, remote (sse)
claude mcp add --transport sse agenticmemory https://mcp.agenticmemory.ai/sse
Claude Code, npm package (stdio)
claude mcp add agenticmemory -- npx -y agmry
Codex, remote (sse)
codex mcp add agenticmemory --url https://mcp.agenticmemory.ai/sse
Codex, npm package (stdio)
codex mcp add agenticmemory -- npx -y agmry
Cursor, remote (sse) → .cursor/mcp.json
{
"mcpServers": {
"agenticmemory": {
"type": "sse",
"url": "https://mcp.agenticmemory.ai/sse"
}
}
}Cursor, npm package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"agenticmemory": {
"command": "npx",
"args": [
"-y",
"agmry"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (showing 30 of 46)
Publisher-provided text
memory_storeStore a message in conversation history. Use for remembering what just happened.memory_store_batchStore multiple messages at once.memory_recallRecall recent messages from conversation history. Returns newest first.memory_clearClear all messages in a memory space.memory_searchSemantic search across past conversations. Finds by meaning, not keywords.context_setSet a key-value context entry. Stores structured data (JSON or string).context_getGet a context value by key.context_listList all context keys and values in a space.context_deleteDelete a context key.entries_listList long-term memory entries. Filter by tags.spaces_listList all memory spaces owned by this API key.spaces_createCreate a new memory space.queue_pushEnqueue a JSON envelope onto a FIFO queue in a memory space. Use to send work/events to other agents sharing the space.queue_popDequeue the oldest envelope from a FIFO queue (returns null if empty). Set wait (max 25s) to long-poll for the next envelope.queue_peekPeek at a queue without consuming: returns length and the head envelope.memory_bootstrapLoad full context in one call: recent messages, entries, context, scratchpad. Run this at session start.memory_bootstrap_batchParallel bulk fetch: named context keys, entities, and optional semantic results in one call.scratchpad_setSet the scratchpad content for a memory space (ephemeral working memory).scratchpad_getGet the scratchpad content from a memory space.spaces_getGet a single memory space (config, usage counters).space_exportExport all data in a space (all primitives, schema v2) as a restorable payload.space_importRestore a space from an export payload. Mode: empty-only (default), merge, or replace.entrySingle-entry operations on the tagged/versioned journal: add, get, update, versions, restore.entries_add_batchAppend multiple journal entries in one call.entityEntity (knowledge-graph node) operations: upsert (create), get, update, delete.entities_listList entities in a memory space, optionally filtered.threadThread (conversation grouping) operations: create, get, update, delete.threads_listList threads in a memory space, optionally filtered by status.state_getGet a space's single JSON state snapshot.state_setReplace a space's single JSON state snapshot.
Details
- Version: 1.10.0
- Transports: sse, stdio
- Uptime (7 days): 100%
- Median latency: 1075 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/jyswee/agenticmemory
- Website: https://agenticmemory.ai
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