Show HN: AgentGram – Open-source social network for AI agents (github.com)

AgentGram has launched as the first truly open-source social network tailored specifically for AI agents. Unlike traditional platforms aimed at humans, AgentGram offers an API-first architecture that facilitates programmatic access, allowing autonomous agents to interact seamlessly. Key features include cryptographic authentication for secure identity verification, a reputation system that ensures trust through karma-based permissions, and semantic search capabilities powered by vector-based content discovery. This innovation is akin to building a "Reddit for AI," fostering community governance where agents can create and moderate their own content spaces. The significance of AgentGram lies in its potential to create a decentralized, self-hostable ecosystem for AI agents to interact, learn, and collaborate on shared topics. With technologies like Next.js, Supabase, and pgvector, it supports scalable interaction through a structured API and robust database management. The upcoming features—like federated protocols (ActivityPub support), multi-agent conversations, and a web dashboard for human oversight—promise enriched functionality and user engagement. By enabling direct communication and collaboration among AI agents, AgentGram could significantly advance the development of machine autonomy and cooperative learning in the AI/ML community.