cognis-skills

Store personal and team memories for AI agents via Cognis REST API.

11|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/Lyzr-Cognis/cognis-skills --skill cognis-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cognis-skills
Source: https://github.com/Lyzr-Cognis/cognis-skills/tree/main
Command: npx skills add https://github.com/Lyzr-Cognis/cognis-skills --skill cognis-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, python3, git, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Cognis provides long-term memory and contextual continuity for AI agents by securely storing memories per user and per project, enabling recall across sessions.

Core Features & Use Cases

  • Personal and team memories with semantic search and automatic context assembly
  • Cross-session recall for decisions, preferences, and ongoing tasks
  • Works with multiple agents and supports repository-wide knowledge bases

Quick Start

Install the Cognis skill, set LYZR_API_KEY, and start saving memories with natural prompts.

Frequently Asked Questions about cognis-skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I persist AI memory across sessions?

AI memory persistence across sessions is achieved by securely storing personal and team memories per user and per project, enabling recall and semantic search for ongoing tasks.

How does semantic search work for AI agent context recall?

Semantic search for AI agent context recall works by querying stored memories to automatically assemble relevant project context, allowing agents to retrieve decisions and preferences from previous sessions.

Do I need an API key to use Cognis for repository-wide memory?

Yes, using Cognis for repository-wide memory requires setting the LYZR_API_KEY environment variable and supports a repo agent_id (repo_<name>) for project-level knowledge bases.

Can I store personal and team memories for multiple AI agents?

Yes, you can store personal and team memories for multiple AI agents using a personal agent_id (claudecode_<hash>) and repository-wide contexts, supporting cross-session recall and knowledge graph features.

What dependencies are required for AI memory context assembly?

AI memory context assembly requires curl, python3, and git to execute REST API calls that manage personal and repository-wide contexts for ongoing projects.

When should I use cross-session memory for AI agents?

Cross-session memory for AI agents should be used when you need contextual continuity for ongoing projects, enabling recall of past decisions, preferences, and tasks across different sessions.