hindsight
by vectorize-io
Hindsight is a memory system for AI agents that stores what an agent has been told and learns from it over time, rather than just keeping chat history. It runs as a server that your own code or coding tools talk to, so agents can remember facts and give more consistent answers.
- Stars
- 54.3k
- Licence
- MIT
- Runs on
- A small server
- Setup
- Moderate
- Language
- Python
- Age
- 361 days
What you can do with it
- Store facts and conversations for an agent, then search them later with natural-language questions
- Generate answers that draw on an agent's stored memories using the reflect feature
- Connect it to coding agents or other AI tools through its MCP server, client libraries or LLM wrapper
Make money with it
A freelance developer could build and sell custom AI assistants for small businesses that remember each client's customers and past conversations.
An idea, not financial advice. Check the licence before charging for anything built on it.
Ways a business could use it
- Give a customer support chatbot a memory of each customer's past issues and preferences, so replies are more consistent and need less manual lookup
- Add persistent memory to an internal assistant or coding agent so staff don't repeat context, saving time
Can you use it commercially?
Free to use, change and sell, including in paid products. Keep the copyright notice.
Not legal advice. Read the project's licence file before building a product on it.
Getting it running
Run it with a Docker command, Docker Compose, Helm on Kubernetes or "pip install hindsight-api", with an LLM provider key set; a hosted cloud option also exists.
Follow the official instructions in the project README.
Things to check
- Needs an LLM provider; hosted providers require paid API keys, though local options such as Ollama are supported
- Benchmark claims come from the vendor, with only some independently reproduced
- Developer-oriented, so it needs coding to integrate
- Vendor also sells a paid hosted version
Who's talking about it
- Rost (rosgluk): Trending Open Source AI Projects on GitHub, October 2026 Featured in a roundup
- Rost Glukhov: Trending Open Source AI Projects on GitHub, October 2026 Featured in a roundup
- Weekly GitHub ranking (YouTube) YouTube
Checked 27 Oct 2026. Summary drafted by AI from the project's README.
