Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
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Updated
Jul 14, 2026 - Rust
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
World's first open-source enterprise world model.
TypeDB: Built for systems, not records
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Self-hosted, semantically-connected personal knowledge base
Synthesized Logic Language for World Models 🌱🐋🌍
AI-native engineering environment management that makes your codebase agent-ready.
Fast local-first Markdown knowledge base for Windows with live preview, search, graph, Dataview, book reader, and MCP
A simple markdown editor and knowledge base written in Rust that is compatible with various markdown syntax.
A command line utility to generate a knowledge base from Hypothesis annotations
Git-backed shared memory for AI agent fleets: searchable knowledge base, incident and task tracking, every write versioned and attributed. CLI, HTTP API and MCP server.
A living personal wiki. Wenlan turns your documents, notes, and AI chats into pages with links to their sources, and updates them as sources change without overwriting your edits. Claude Code, Codex and other AI tools can build on it.
Local document Q&A in your terminal — powered by on-device LLMs.
Simple note taking, powerful search, AI ready
Self-host your Obsidian vaults: a web UI for you, MCP for your AI agents. No Obsidian, no plugins required.
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📝Save the ChatGPT conversation on your computer 📝将ChatGPT对话永久保存在本地
Git-backed wiki engine with MCP server — build knowledge that compounds
Linkly AI CLI Tools
Memory database for AI agents — stores typed memories (facts, preferences, events, entities, relations) with provenance, confidence, and bi-temporal validity, and answers with fused semantic + lexical + entity-graph + temporal retrieval. One Rust core, one binary wire protocol. Apache-2.0.
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