Explore
MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Temporal memory for your AI agents, financial research, and knowledge workflows.
PythonMIT★ 5No key
记忆桥 MemoryBridge — 跨设备、跨平台的 AI 共享记忆层 | Cross-device and cross-platform shared memory for AI (CDSMP implementation)
PythonMIT★ 388No key
Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.
PythonApache-2.0★ 9No key
Agent-native bi-temporal graph store: verified temporal operators as LLM tools + trace-grounded answer verification
PythonApache-2.0★ 5No key
Video Memory CLI: index once, search/ask forever (dense captions + transcripts + timestamps). Built for agents.
PythonApache-2.0★ 7No key
Verified memory for AI agents: gated writes, provenance on every read, bi-temporal history, abstention instead of hallucination. AGPL/commercial.
PythonAGPL-3.0★ 4Few starsNo key
A self-healing local knowledge base where a local LLM compounds your documents across four memory tiers ,working, episodic, semantic, and procedural — with bi-temporal facts, automatic contradiction r
PythonMIT★ 4Few starsNo key
Declarative AI Agent pipeline engine — like Kubernetes for your LLM agents. YAML DSL + Temporal + MCP.
PythonApache-2.0★ 2Few starsNo key
Vectorless RAG with MCP — BM25 + temporal KG + link walking. Zero dependencies, zero GPU.
PythonMIT★ 1Few starsNo key
Four graph-native MCP servers (memory / RAG / build / agent) over one shared SQLite store. Built to plug into zcode + GLM-5.3, companion implementation of the book Graph-Native Agents (Ch.5-8).
PythonMIT★ 2Few starsNo key
Deterministic, self-hosted long-term memory for AI agents: store facts instead of transcripts, recall only what matters.
PythonMIT★ 9No key
The Bi-Temporal State Graph & Lossless Context Compression Engine for AI Agents
PythonApache-2.0★ 1Few starsNo key
MCP server for Smriti — Temporal AI Memory for Claude, Cursor, VS Code & Windsurf
PythonMIT★ 1Few starsNo key
PythonMIT★ 1Few starsNo key
MCP server exposing Knowledge Stack tools (search, list, read, …) to any agent framework. Built on Model Context Protocol.
PythonMIT★ 1Few starsNo key
Dxrk — orquestador local-first de ecosistemas para agentes de IA: 14 agentes, DxrkMemory 2.0, SDD, MCP y multi-tenant
PythonMIT★ 1Few starsNo key
An agentic business research system that uses MCP tools, RAG, multiple specialized agents, and evaluation to research ambiguous business questions and produce structured recommendations.
PythonApache-2.0★ 1Few starsNo key
High-recall conversational memory retrieval. 93.9% LoCoMo, 98.4% R@5 on LongMemEval — no LLM required. Local-first, cloud-ready.
PythonMIT★ 6No key
Cross-source AI memory & knowledge weaving system (Multi-source + RAG + Knowledge Graph + Persistent Memory + MCP/Agent/Skill + LLM Wiki) || 跨源AI记忆与知识编织系统（多格式文件 + RAG + 知识图谱 + 永久记忆 + MCP/Agent/Skill +
PythonMIT★ 4Few starsNo key
Local-first memory system for AI agents with project-safe save/recall, phase-scoped rules, 2D/3D Memory Galaxy visualization, and gesture-controlled Knowledge Solar System.
PythonMIT★ 4Few starsNo key
Next-Generation Distributed Multi-Agent Runtime & Swarm Substrate uniting Super-Memory, Cyclical Swarms, 24/7 Durable Daemons, Multimodal Streaming, VLA Safety Governors, and Benchmark Evaluators.
PythonApache-2.0Few starsNo key
Complete security framework for AI Agents, MCP Servers, and RAG pipelines. Features automated MCP fuzzing, cross-agent poisoning detection, persistent memory audits, unified risk scoring, and CI/CD se
PythonMIT★ 1Few starsNo key
Explainable, adaptive retrieval for long-lived AI memory.
PythonApache-2.0★ 1Few starsNo key
Who stands behind it
