基于本地 RAG 与大模型人格蒸馏的多平台聊天记忆系统。通过 FTS5 检索、语料清洗与长期报告生成，将聊天记录转化为高拟真的数字分身。
GitHub repository with 18 stars and 1 forks.
Language: Python
Topics: agent-memory, ai-companion, digital-clone, fts5, llm, llm-memory, local-first, python, rag, sqlite
Trending score 0.00, activity score 0.00, stars gained +0, forks gained +0.
2026-06-04: 18 stars and 1 forks.
[KDD 2026] MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
GitHub repository with 42 stars and 6 forks.
Trending score: 1.79; stars gained: +37; forks gained: +6.
Language: Python
Topics: agent-memory, graphrag, multi-agent, rag, graph-construction, ontology
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
GitHub repository with 1,588 stars and 158 forks.
Trending score: 1.51; stars gained: +38; forks gained: +3.
Language: Python
Topics: agent-harness, agent-memory, agent-orchestration, ai-agents, awesome-list, context-engineering
Semantica 🧠 — AI-native knowledge graph intelligence framework for semantic retrieval, ontology reasoning, context graphs, and explainable AI systems.
GitHub repository with 1,189 stars and 181 forks.
Trending score: 1.15; stars gained: +4; forks gained: +0.
Language: Python
Topics: ai-agents, graphrag, knowledge-engineering, rag, semantic-layer, agentic-ai
Memory that AI Agents Love!
GitHub repository with 283 stars and 183 forks.
Trending score: 1.11; stars gained: +13; forks gained: +2.
Language: Python
Topics: ai-agents, memory, moorcheh, memanto, agent-memory, crewai
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
GitHub repository with 950 stars and 86 forks.
Trending score: 1.07; stars gained: +10; forks gained: +0.
Language: Python
Topics: agent-memory, ai-memory, continual-learning, llm-memory, long-term-memory, memory-systems
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
GitHub repository with 15,181 stars and 2,543 forks.
Trending score: 1.01; stars gained: +9; forks gained: +3.
Language: Python
Topics: agent, ai, long-short-term-memory, memory, python, rag
The agent that grows with you
GitHub repository with 180,938 stars and 31,034 forks.
Trending score: 5.79; stars gained: +1,360; forks gained: +322.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
GitHub repository with 29,960 stars and 4,217 forks.
Trending score: 4.66; stars gained: +688; forks gained: +114.
Language: Python
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
GitHub repository with 4,894 stars and 487 forks.
Trending score: 4.55; stars gained: +340; forks gained: +27.
Language: Python
Topics: agent-skills, self-evolving-agents
754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
GitHub repository with 13,233 stars and 1,551 forks.
Trending score: 4.53; stars gained: +301; forks gained: +38.
Language: Python
Topics: ai-agents, claude-code, cybersecurity, incident-response, mitre-attack, penetration-testing
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,181 stars and 524 forks.
Trending score: 4.43; stars gained: +415; forks gained: +37.
Language: Python
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
GitHub repository with 130,154 stars and 21,149 forks.
Trending score: 4.42; stars gained: +277; forks gained: +38.
Language: Python
Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.
GitHub repository with 25,505 stars and 2,231 forks.
Trending score: 2.74; stars gained: +686; forks gained: +35.
Language: TypeScript
Topics: agent-memory, ai-memory, cloudflare-kv, cloudflare-pages, cloudflare-workers, drizzle-orm
[KDD 2026] MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
GitHub repository with 42 stars and 6 forks.
Trending score: 1.79; stars gained: +37; forks gained: +6.
Language: Python
Topics: agent-memory, graphrag, multi-agent, rag, graph-construction, ontology
Dolt – Git for Data
GitHub repository with 23,080 stars and 785 forks.
Trending score: 1.71; stars gained: +52; forks gained: -1.
Language: Go
Topics: agent-memory, agent-memory-server, ai-agents, ai-database, data-version-control, data-versioning
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
GitHub repository with 1,588 stars and 158 forks.
Trending score: 1.51; stars gained: +38; forks gained: +3.
Language: Python
Topics: agent-harness, agent-memory, agent-orchestration, ai-agents, awesome-list, context-engineering
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
GitHub repository with 481 stars and 67 forks.
Trending score: 1.34; stars gained: +24; forks gained: +2.
Language: Jupyter Notebook
Topics: agent-memory, ai-agents, anthropic, episodic-memory, generative-ai, graphiti
Graph database native to the cloud. Embedded, multi-tenant, built on object storage.
GitHub repository with 103 stars and 9 forks.
Trending score: 1.31; stars gained: +3; forks gained: +0.
Language: Rust
Topics: agent-memory, columnar, cypher, gql, graph-database, graphrag