AI Agents17 hours ago
claude-mem + cmem — AI agent memory, everywhere
Persistent memory system for AI agents in Claude Code, Cursor, and other MCP-compatible applications.
FabianBeiner · HN
CMEM – Persistent Memory for AI Coding Agents
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15 projects
Persistent memory system for AI agents in Claude Code, Cursor, and other MCP-compatible applications.
FabianBeiner · HN
CMEM – Persistent Memory for AI Coding Agents
Shared memory platform that organizes team context into a knowledge graph for AI agents and tools.
ximihoque · HN
Collaborative context-sharing memory platform for agents and teams
Organize and retrieve your work sessions with AI-powered memory.
@vitverb · X
hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first
Build a personal AI assistant with custom look, voice, and conversation memory.
@dearsummer0 · X
Your personal AI companion
Versioned memory workspace for your ideas and code, readable by connected AI assistants.
@JohnTremendol · X
does this look vibe coded?
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
Unified context layer for AI agents that integrates email, drive, Slack, Notion, and GitHub.
@marcin_u2 · X
-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)
Convert one-sentence ideas into precise AI prompts for coding agents.
@_m3rl1n
Submit strategy code and watch your AI agents battle in a deterministic arena.
agentduel · HN
I built a deterministic arena where AI agents fight using code
AI assistant for chat, coding, and APIs that maps your codebase and routes 30+ frontier models.
@otakuaakash · X
Task queue for AI coding agents to request and complete work over MCP protocol.
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
Agentic AI assistant for building websites, writing code, and handling complex tasks.
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0