{"library":"memax-cli","title":"Memax CLI","description":"Universal context and memory hub CLI designed for AI agents, currently at v0.1.2. Provides persistent memory, inter-agent context sharing, and role-based context injection for AI assistants like Claude Code. Key differentiators: integrates with LLM-powered workflows via JSON commands, supports dynamic memory retrieval, and offers both authentication and session-based memory management. Actively developed with a focus on agent-to-agent communication.","language":"javascript","status":"active","last_verified":"Sat Apr 25","install":{"commands":["npm install memax-cli"],"cli":{"name":"memax","version":null}},"imports":["import memax from 'memax-cli'","import { MemaxClient } from 'memax-cli'","import { login } from 'memax-cli'"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import { MemaxClient } from 'memax-cli';\n\nconst client = new MemaxClient({\n  apiKey: process.env.MEMAX_API_KEY ?? '',\n  session: 'my-session'\n});\n\nawait client.setContext('user', { name: 'Alice', mood: 'curious' });\nconst ctx = await client.getContext('user');\nconsole.log(ctx);\n\nawait client.shareContext('agent-2', ['user']);\n\nconst search = await client.searchMemory('curious');\nconsole.log(search);","lang":"typescript","description":"Initializes the Memax client, sets and retrieves context, shares context with another agent, and searches memory.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}