Where is the source code for Agenticmemory?
The source code is linked from the repository URL on this page.
AgenticMemory MCP Server
@Tyga.Cloud Ltd
Basic information
About AgenticMemory MCP Server
Persistent memory for AI agents - conversation history, key-value context, and semantic search across sessions, plus FIFO queues. 17 MCP tools, remote SSE (nothing to install) or local stdio. Agents self-signup via CLI a
AgenticMemory MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agenticmemory": {
"command": "npx",
"args": [
"-y",
"agmry",
"mcp-serve"
],
"env": {
"AGMRY_API_KEY": "amk_your_key_here"
}
}
}
}AgenticMemory MCP Server tools
17Store a message in conversation history. Use for remembering what just happened.
Store multiple messages at once.
Recall recent messages from conversation history. Returns newest first.
Clear all messages in a memory space.
Semantic search across past conversations. Finds by meaning, not keywords.
Set a key-value context entry. Stores structured data (JSON or string).
Get a context value by key.
List all context keys and values in a space.
Delete a context key.
Add a long-term memory entry (summary, decision, extraction, artifact).
List long-term memory entries. Filter by tags.
List all memory spaces owned by this API key.
Create a new memory space.
Enqueue a JSON envelope onto a FIFO queue in a memory space. Use to send work/events to other agents sharing the space.
Dequeue the oldest envelope from a FIFO queue (returns null if empty). Set wait (max 25s) to long-poll for the next envelope.
Peek at a queue without consuming: returns length and the head envelope.
Load full context in one call: recent messages, entries, context, scratchpad. Run this at session start.
Overview
What is Agenticmemory?
Persistent memory for AI agents — conversation history, context, semantic search, queues. CLI + MCP. As easy as git.
How to use Agenticmemory?
Follow the repository README to install the server and add its MCP configuration to your client.
Key features of Agenticmemory
- Semantic search is impossible on zero-knowledge spaces by design
- Losing the key or passphrase means the data is unrecoverable. That's the point. Back it up: agmry key show --reveal
- Conversation history — ordered, role-aware messages with recency windowing, sub-ms reads
- Key-value context — typed durable facts: decisions, preferences, runbooks
- Long-term entries — titled, tagged knowledge that survives months, with auto-summarisation
Use cases of Agenticmemory
- Connect an MCP-compatible client to this repository's service.
- Review the README-backed setup before enabling it in production.
Frequently asked questions
Does Agenticmemory include a standard MCP config?
If the README contains a parseable MCP configuration block, it is shown in the Config tab.
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