Mira OSS alternatives for AI agents.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Memory library for building stateful agents

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

The Linux OS for AI Agents — Persistent memory, autonomy, and time-awareness for any LLM. Own the state. Rent the intelligence.

Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.

Superduper: End-to-end framework for building custom AI applications and agents.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

Incremental engine for long horizon agents 🌟 Star if you like it!

Spec-driven development for large codebases

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.