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Provide secure local cognition, memory, and multi-agent orchestration for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "prism-coder" yet — see the docs or source repo.
Using prism-coder, design a locally running AI agent setup with persistent memory, no API keys, and suitability for sensitive medical text. Provide the architecture and deployment steps.
A local AI agent implementation plan covering architecture, privacy and security considerations, and deployment steps.
Use prism-coder to design a multi-agent Hivemind workflow where a research agent handles retrieval, an analysis agent synthesizes findings, and a review agent performs adversarial evaluation. Explain how memory is shared across agents.
A clear multi-agent workflow with role definitions, task handoffs, shared memory design, and quality control.
Create a test plan for prism-coder to validate persistent memory performance, ACT-R activation behavior, and how adversarial evaluation reduces hallucinations and faulty reasoning.
A test plan with metrics, experimental methods, evaluation cases, and criteria for judging results.
Give AI coding agents persistent cross-session memory for project knowledge.
Coordinate coding agents locally with shared memory, tasks, and handoffs.
Provide persistent, verified memory and guardrails for AI coding agents.
Give AI coding agents persistent local shared memory across agents.
Give AI coding agents searchable local project memory with safe structured updates.
Coordinate AI agents across terminals with messaging, watching, and task spawning.