Hindsight
MIT retain→recall→reflect agent memory (+ MCP)
AI Agents / Memory & Evals · OSS/MIT · 51.3k
Reviewed 2026-09-25 · last push 2026-10-17 · repo checked 2026-10-19
What's Good
MIT (vectorize-io/hindsight). Self-host via Docker, pip, or Helm; Python/TS clients; MCP server exposing retain/recall/reflect per bank. Docs, cookbook, and integrations at hindsight.vectorize.io. Cloud is optional when you do not want to run the stack yourself.
The Catch
Vs Mem0, Graphiti, Engram, and Supermemory: Hindsight is a retain/recall/reflect memory product with optional hosted Cloud/Enterprise, not a general memory SDK alone, a temporal knowledge graph, a local binary brain, or a speed-first memory API. Treat LongMemEval / SOTA marketing as vendor claims, not catalog proof; Cloud and Enterprise are upsell paths beside the OSS self-host bar.
Verdict
MIT agent memory when you want retain→recall→reflect (+ MCP) you can self-host; keep Cloud optional and do not bet the stack on a single eval leaderboard.
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Related
AI Agents →- Mem0Memory infrastructure for AI agents that actually persists
- LangfuseOpen-source LLM observability you can self-host
- LettaEpisodic memory for agents that think across sessions
- PromptfooMIT LLM evals & red-teaming CLI; Community free, 10k probes/mo
- DeepEvalApache-2.0 pytest-style LLM/agent evals; Confident AI is the paid cloud