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Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.
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Latest capture 2026-07-06 03:08
5 captures since 2026-05-22
Stars from baseline +11
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-06 03:08
pyproject.toml
python ecosystem,
31 dependencies
requirements.txt
python ecosystem,
9 dependencies
uv.lock
python ecosystem,
0 dependencies
.claude-plugin/mcp-server/package.json
javascript ecosystem,
1 dependency
packages/mcp-server/package.json
javascript ecosystem,
4 dependencies
packages/opencode-plugin/package.json
javascript ecosystem,
3 dependencies
packages/mcp-server/package-lock.json
javascript ecosystem,
90 dependencies
packages/opencode-plugin/package-lock.json
javascript ecosystem,
6 dependencies
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Persistent memory for AI agents. Agents forget. CI remembers.
Memory system for autonomous agents - built by an agent, for agents
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
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.
OWASP Foundation web repository
