# vectorize-io/hindsight > Hindsight is a long-term memory system for AI agents that stores facts and observations rather than just conversation history, reporting state-of-the-art results on the LongMemEval benchmark. It runs as a server (Docker, pip, Helm) or embedded, with Python, Node.js, Go and CLI clients. - Magnitude: 6.8 out of 10 — Breakout - Stars: 26,982 total · +259 stars today, ≈ 665 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2025-10-30 · Last push: 2026-09-24 - GitHub: https://github.com/vectorize-io/hindsight · Homepage: https://hindsight.vectorize.io/ · Page: https://gitnova.dev/en/r/vectorize-io/hindsight ## Useful for - Attach Hindsight to an agent via the LLM wrapper or MCP so it retains facts across sessions - Deploy the Hindsight server in Docker with a local ollama model for private agent memory - Benchmark your own memory setup against Hindsight on LongMemEval ## Why it’s here - 259 stars so far today, about 665 expected by the end of the day. The usual pace is 104 per day, so that's 6.4× as much. - Over the last two days the pace is 7.8× that of the previous week and a half. - The spike has held for 3 days in a row — not a one-off blip. - GitHub Trending today: #2, +1,607 stars. - GitHub Trending Python today: #2, +1,607 stars. - About 135 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 2,534 - Issues and pull requests: 4,617 - Watchers: 62 - Average over the last week: 514 per day - Usual pace: 104 per day - Stars in the last hour (measured): 62 - Latest release: v0.10.1 (2026-09-21) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-08-26 … 2026-09-24: 333, 78, 72, 71, 230, 123, 88, 84, 154, 318, 66, 303, 202, 74, 85, 84, 64, 49, 41, 89, 109, 56, 61, 59, 57, 162, 743, 460, 1450, 259 ## Spotted in now - GitHub Trending today: #2, +1,607 stars - GitHub Trending Python today: #2, +1,607 stars - GitHub Trending this week: #12, +3,181 stars ## Similar by description 1. **NxcoreAI/NxMem** — 3.0 · Peaking · AI agents · TypeScript · +1 star today, ≈ 33 by evening A context and long-term memory engine for LLM agents: turns conversations and documents into structured facts, manages short- and long-term memory, and assembles cited context packs. Full card: https://gitnova.dev/en/r/NxcoreAI/NxMem.md 2. **mem0ai/mem0** — 2.7 · Steady · AI agents · Python · +18 stars today, ≈ 40 by evening A long-term memory layer for AI agents and apps: stores user preferences, session state and facts so assistants keep context across conversations. Available as a Python/JS library, self-hosted server and cloud service. Full card: https://gitnova.dev/en/r/mem0ai/mem0.md 3. **Kerneta/daidocs** — 0.6 · Steady · AI agents · JavaScript · +1 star today, ≈ 1 by evening Open plain-text .dai format for AI assistant long-term memory: history lives as files on your disk, readable by any LLM and grep. Ships with an MCP server and hooks for Claude, Cursor, Windsurf, Codex. Full card: https://gitnova.dev/en/r/Kerneta/daidocs.md 4. **supermemoryai/supermemory** — 2.0 · Cooling · AI agents · TypeScript · +17 stars today, ≈ 30 by evening Memory and context engine for AI: extracts facts from conversations, builds user profiles, combines RAG and memory in one API, runs locally or in the cloud. Full card: https://gitnova.dev/en/r/supermemoryai/supermemory.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-24 13:15 UTC, updated every 30 minutes.