dcostenco/prism-mcp
by Various
The Mind Palace for AI Agents - HIPAA-hardened Cognitive Architecture with on-device LLM (prism-coder:7b), Hebbian learning, ACT-R spreading activation, adversarial evaluation, per
MCP
dcostenco/prism-mcp
Added 1 June 2026
Overview
Prism-MCP is a cognitive architecture for AI agents that runs entirely on-device using a local LLM (prism-coder:7b). It implements Hebbian learning, ACT-R spreading activation, adversarial evaluation, persistent memory, and multi-agent Hivemind coordination. The system is HIPAA-hardened and requires no external API keys.
Best for
Best for
Developers building privacy-sensitive, HIPAA-compliant multi-agent systems with on-device LLMs
Use cases
- Building HIPAA-compliant AI agents with on-device processing
- Creating multi-agent systems with persistent memory and coordination
- Running local LLM-based cognitive architectures without cloud dependencies
How to use
Install
npm install -g prism-mcp-server Tools exposed
local_savingssession_bootstrapprism_infer
Tested with
Claude Desktop, Claude Code, Cursor, Gemini CLI, Codex
Example client config
{\n "mcpServers": {\n "prism": {\n "command": "npx",\n "args": ["-y", "prism-mcp-server"]\n }\n }\n} Notes
Prism-MCP is a cognitive architecture for AI agents that runs entirely on-device using a local LLM (prism-coder:7b). It implements Hebbian learning, ACT-R spreading activation, adversarial evaluation, persistent memory, and multi-agent Hivemind coordination. The system is HIPAA-hardened and requires no external API keys.
142 stars on GitHub. Last updated 2026-06-01. Licensed AGPL-3.0.
Use cases
- Building HIPAA-compliant AI agents with on-device processing
- Creating multi-agent systems with persistent memory and coordination
- Running local LLM-based cognitive architectures without cloud dependencies
Pros
- No API keys required, ensuring privacy and offline capability
- HIPAA-hardened design suitable for healthcare applications
- Built-in multi-agent Hivemind and visual dashboard for monitoring
Cons
- Requires significant local compute resources to run a 7B parameter model
- Limited to the prism-coder model; no support for other LLMs
- Small community (142 stars) and relatively new project
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- No API keys required, ensuring privacy and offline capability
- HIPAA-hardened design suitable for healthcare applications
- Built-in multi-agent Hivemind and visual dashboard for monitoring
Cons
- Requires significant local compute resources to run a 7B parameter model
- Limited to the prism-coder model; no support for other LLMs
- Small community (142 stars) and relatively new project
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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