— · MIT
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
v0.1.0 · Apache-2.0
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.
v0.24.1 · MIT
Multi-LLM MCP server for Claude Code & Codex — route AI agent work across 20+ low-cost provider buckets with round-robin dispatch and quota-aware fallback.
v0.5.4 · MIT
Graph memory for AI agents — decisions, context, and session history that survive across every conversation. Works with any LLM.
— · Apache-2.0
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
v0.3.0 · Apache-2.0
Your First LLM-Wiki Conversation Knowledge Base
v3.21.0 · MIT
The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.
v1.9.40 · MIT
Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.
— · Apache-2.0
Lightweight Long-Term Memory for LLM Agents.
— · MIT
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
— · MIT
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.
— · no license
Governance standard and reference toolset for LLM-maintained knowledge corpora
— · MIT
Control and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.
v0.52.55 · AGPL-3.0-only
Installer for the Wizard-AI environment: AI CLI tools and Claude Code skills (graphify, llmlingua, flashrank, markitdown and more). Clones the repo and runs the platform setup script.
v0.46.1 · MIT
Multi-LLM MCP server for Claude Code & Codex — route AI agent work across 20+ low-cost provider buckets with round-robin dispatch and quota-aware fallback.
— · no license
Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts, access policies, and AI skills. Connect Claude and other LLMs via Model Context Protocol (MCP) for automated, secure organizational knowledge integration.
— · MIT
A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.
v0.2.2 · MIT
Multi-model AI code review server using OpenRouter - get diverse perspectives from multiple LLMs in parallel
— · MIT
CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.
v2.5.0 · MIT
Ruflo CLI - Enterprise AI agent orchestration with 60+ specialized agents, swarm coordination, MCP server, self-learning hooks, and vector memory for Claude Code
v0.7.2 · Apache-2.0
A Model Context Protocol server for searching and analyzing arXiv papers
v2.9.4 · MIT
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
v0.4.0 · MIT
Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.
v0.3.0 · MIT
Three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, smart routing, supervised agent workflows, WebUI, and headless tools.