GenPark AI Agent Skill - Continuous hierarchical episodic memory stream, exponential temporal decay, cross-session preference anchoring, and personal knowledge graphs.
Inspired by architectural paradigms from Meta Muse (about.meta.com).
Modern personal agents must evolve past static prompt-response turn-taking into continuous ambient cognitive companions.
The genpark-muse-episodic-memory-stream-skill brings production-grade primitives for Model Context Protocol (MCP) clients, autonomous agent swarms, and personal assistants operating within the GenPark ecosystem.
+-------------------------------------------------------------+
| GenPark Personal Agent Swarm |
+-------------------------------------------------------------+
| |
v v
+-----------------------------+ +------------------------------+
| Zero-Prompt Anticipator | | Hierarchical Memory Stream |
| (Activity & Context Sensing)| | (Temporal Decay & Vectors) |
+-----------------------------+ +------------------------------+
| |
+----------------------+-----------------------+
|
v
+----------------------------------------------+
| Autonomous Guardrailed Micro-Delegator |
| (Sandboxed Dispatch & Token Budget Gating) |
+----------------------------------------------+
Appends multimodal conversation turns, situational context, and key decisions into the continuous episodic stream.
Performs semantic vector recall with exponential recency decay weighting and personal preference priors.
Extracts long-term user tendencies, persistent goals, and domain preferences into structured profile anchors.
Add this skill to your genpark.config.json or Claude / Cursor desktop MCP configurations:
{
"mcpServers": {
"genpark-muse-episodic-memory-stream-skill": {
"command": "npx",
"args": ["-y", "@alphapark/genpark-muse-episodic-memory-stream-skill"],
"env": {
"GENPARK_API_KEY": "your_genpark_api_key"
}
}
}
}Apache-2.0 © 2026 GenPark AI Inc. (alphaparkinc)