⬢github Python · 31.9K ★ +649 since we first saw it · pushed 5 h ago · MIT
vectorize-io/hindsight
Hindsight: Agent Memory That Learns
Hindsight is a Python-based agent memory system that aims to let AI agents learn over time rather than just recall past conversation history. It exposes retain/recall/reflect operations, memory banks, mental models, and an MCP server, runs as an API server or embedded in Python, and claims state-of-the-art accuracy on the LongMemEval benchmark, outperforming RAG- and knowledge-graph-based approaches.
Why now: It was a GitHub Trending repository with rapid star growth and published benchmarks reportedly independently reproduced by Virginia Tech and The Washington Post, fueling interest.
Who it is for: Developers building LLM-powered agents who need persistent, long-term memory.
agentic-aiagentsai-memorymemory
Stars over our 15 snapshots: 31.5K to 31.9K, since 1 h ago.
Where people talked about it
- ⬢github vectorize-io/hindsight 3 min ago
API: https://socialmediatrends-api.osmike.com/v1/repos/vectorize-io/hindsight