I made an open-source memory layer for agents
AI/MLShare
AI Summary
This open-source memory layer gives AI agents persistent, searchable memory by automatically extracting entities and relationships from interactions, enabling semantic recall via an MCP server, REST API, and SDKs. It’s built for developers building autonomous agents who need a self-hostable or cloud-based memory backend, and it’s interesting because it bridges the gap between stateless LLM calls and long-term, structured agent cognition under a permissive MIT license.
Cross-platform signals
Y
ViewHacker News
—
points
—
comments
Not enough history yet
You might also like
More in AI/ML
odysseus
Self-hosted AI workspace.
80.8k
ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
74.1k
nature-skills
26k
DeepSeek-Reasonix
DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
26k