Repository profile
Git Based Memory Storage for Conversational AI Agent
Repository updates
Get generated Growth-Kinetics/DiffMem development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-18 04:23
47 captures since 2026-06-02
Stars from baseline +17
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-18 04:23
pyproject.toml
python ecosystem,
23 dependencies
requirements-server.txt
python ecosystem,
8 dependencies
requirements.txt
python ecosystem,
4 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Universal memory layer for AI Agents
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
Memory system for autonomous agents - built by an agent, for agents
Personal memory across agents
