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Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.
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Latest capture 2026-07-16 03:07
7 captures since 2026-05-22
Stars from baseline +13
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:07
pyproject.toml
python ecosystem,
19 dependencies
requirements.txt
python ecosystem,
16 dependencies
obsidian-plugin/package.json
javascript ecosystem,
6 dependencies
vscode-mengram/package.json
javascript ecosystem,
5 dependencies
vscode-mengram/package-lock.json
javascript ecosystem,
31 dependencies
examples/customer-support-agent/requirements.txt
python ecosystem,
2 dependencies
examples/devops-agent/requirements.txt
python ecosystem,
2 dependencies
examples/personal-assistant/requirements.txt
python ecosystem,
3 dependencies
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Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Memory system for autonomous agents - built by an agent, for agents
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.
Universal memory layer for AI Agents
Persistent memory for AI agents. Agents forget. CI remembers.
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
