Open-source context retrieval layer for AI agents
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Updated
Jun 2, 2026 - Python
Open-source context retrieval layer for AI agents
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.
Semantica 🧠 — AI-native knowledge graph intelligence framework for semantic retrieval, ontology reasoning, context graphs, and explainable AI systems.
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
🛡️The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.
Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider.
Local-first AI conversation memory hub to capture, search, summarize, and export chats across major AI platforms. 本地优先的 AI 对话记忆与知识中台。
Give AI coding agents the context they need to ship production-quality software.
Grov automatically captures the context from your private AI sessions and syncs it to a shared team memory. It auto injects relevant memories across developers and future sessions to save tokens and time spent on tasks.
Agent-agnostic memory sidecar for AI coding agents. One install, multi-agent shared recall, production-grade. AI智能体持久记忆系统,多Agent共享记忆层,生产级部署。
A local workbench for agents doing continuous work across sessions, commands, human input, and external events.
AI Infrastructure Junior Engineer Learning Track - Comprehensive curriculum for entry-level ML infrastructure engineers (0-2 years experience)
Unified AI Gateway for 30+ LLMs (OpenAI, Anthropic, Bedrock, Azure etc) with Caching, Guardrails, A/B test & cost controls. Go-native Fastest & Scalable AI Gateway LiteLLM & Kong AI Gateway alternative.
The open source, no-code MCP Server for AI-Native API Access
Route inference across providers.
启智平台任务管理 CLI:资源查询、任务提交、日志查看和 MCP/agent workflow
Distributed data mesh for real-time access, migration, and replication across diverse databases — built for AI, security, and scale.
半人马环 Centaur Loop:AI 员工的最小工作单元框架。把复杂岗位拆解为可由 AI 接管、由人类治理、由反馈和记忆持续进化的循环工作流 / The smallest work unit for building AI employees.
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