Tool profile
TenseMem
github.com
Embedded, deterministic memory for AI agents in one SQLite file that keeps one current value per fact.
What it does
TenseMem
TenseMem (Apache-2.0, `pip install tensemem`) is embedded memory for AI agents stored in a single SQLite file, with no server. The model proposes typed facts and deterministic rules decide what is current: each slot keeps one current value while history is preserved, every read reports freshness, recalled context is fenced to avoid self-echo, and corrections survive rebuilds. Extractors are available for OpenAI, Anthropic, Ollama, LiteLLM and Gemini, plus a rule-based extractor that needs no API key.
PricingOpen source
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FAQ
Frequently asked questions
- What is TenseMem?
- TenseMem (Apache-2.0, `pip install tensemem`) is embedded memory for AI agents stored in a single SQLite file, with no server. The model proposes typed facts and deterministic rules decide what is current: each slot keeps one current value while history is preserved, every read reports freshness, recalled context is fenced to avoid self-echo, and corrections survive rebuilds. Extractors are available for OpenAI, Anthropic, Ollama, LiteLLM and Gemini, plus a rule-based extractor that needs no API key.
- How much does TenseMem cost?
- TenseMem uses a Open source pricing model. Check the official website for current plans.
- What is TenseMem used for?
- TenseMem is listed on TolsAI under: AI Agent and AI Developer Tools.
- Where can I use TenseMem?
- TenseMem is available on its official website, github.com.
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