AgenticMemory
@Tyga.Cloud Ltd
About AgenticMemory
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
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"
}
}
}
}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.
FAQ from Agenticmemory
Where is the source code for Agenticmemory?
The source code is linked from the repository URL on this page.
Does Agenticmemory include a standard MCP config?
If the README contains a parseable MCP configuration block, it is shown in the Config tab.
Frequently asked questions
Where is the source code for Agenticmemory?
The source code is linked from the repository URL on this page.
Does Agenticmemory include a standard MCP config?
If the README contains a parseable MCP configuration block, it is shown in the Config tab.
Basic information
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