Alternatives to vectorize-io/hindsight
Hindsight: Agent Memory That Learns
Source: vectorize-io/hindsight · SPDX licence: MIT
Comparable repositories
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- generalbusiness-ai/keep · Reflective memory for agents · MIT
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- alash3al/stash · Stash — persistent memory layer for AI agents. Episodes, facts, and working context stored in Postgres. MCP server included. Self-hosted, single binary, no cloud required. · Apache-2.0
- openmemind/memind · Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding and SOTA performance. · Apache-2.0
- mem0ai/mem0 · The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production. · Apache-2.0
- truefoundry/trueforge · The open-source agent harness - the runtime layer that turns an LLM into a working agent. · MIT
- evermind-ai/everos · One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows. · Apache-2.0
- supermemoryai/smfs · A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them. · MIT
- mempalace/mempalace · The best-benchmarked open-source AI memory system. And it's free. · MIT
Comparison from the dated registry snapshot. Review each project and licence independently.