prism-coder
Eliminates vendor lock-in and API dependency risks while enabling HIPAA-compliant AI code assistance with persistent learning—critical for regulated industri…
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, persistent memory, multi-agent Hivemind and visual dashboard. Zero API keys required.
- Generate code solutions using local AI without sending data to external APIs or services
- Build multi-agent systems where AI agents learn and collaborate on complex development tasks
- Evaluate code quality and security risks through adversarial testing and pattern analysis
Eliminates vendor lock-in and API dependency risks while enabling HIPAA-compliant AI code assistance with persistent learning—critical for regulated industries managing sensitive codebases on-premises.
Healthcare and finance engineering teams requiring fully self-hosted, auditable code generation without external API calls.
https://github.com/dcostenco/prism-coder
By dcostenco
How to Get It
claude plugins install dcostenco/prism-coder
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate code solutions using local AI without sending data to external APIs or services
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Reddit
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 158 GitHub stars; 7 contributors; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 158 GitHub stars; 7 contributors; last commit 0d ago; license Apache-2.0.