1vectorize-io / hindsight
Hindsight: Agent Memory That Learns
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17 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Hindsight: Agent Memory That Learns
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
The best-benchmarked open-source AI memory system. And it's free.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.
Agent S: the state-of-the-art open source computer use agents
Official repository for MemT-1.0
Personal memory across agents
Volatility 3.0 development
Build a portrait of your life. Assistants that know you. Clones that talk like you.
Memray is a memory profiler for Python
Cross-platform lib for process and system monitoring in Python
Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.
An advanced memory forensics framework
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.