Mastra is the modern TypeScript framework for AI-powered applications and agents.
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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
- semantic-search
- information-retrieval
- ai
- python
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Unified framework for building enterprise RAG pipelines with small, specialized models
- parsing
- retrieval-augmented-generation
- agents
- generative-ai-tools
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
- agents
- flow-based-programming
- flow-engineering
- llm-agent
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
The open source platform for AI-native application development.
- ai
- ai-native
- generative-ai
- gpt
Platform for building and running AI agents across the full lifecycle — build, test, deploy, monitor, improve. Hosts your agents, runs their tools, and coordinates them over an event mesh, with sessions, artifacts, auth, evaluators, and observability built in.
- agents
- ai-agents
- agentic-ai
- framework
AdalFlow: The library to build & auto-optimize LLM applications.
Harness LLMs with Multi-Agent Programming
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
Comet: agent skill harness for turning ideas into evaluated workflows
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.
MCP gateway & OAuth MCP servers. LangGraph agent: memory, eval/tracking, PII guard, context trimming. Docker quick start for enterprise agents.
- agentic-ai
- ai-agents
- context-engineering
- enterprise-ai
A framework for building decision-model harnesses for any kind of task. Your program offers the model a short list of next steps, and the model picks one at a time until it can answer.
- classifiers
- decision-models
- evals
- llm-harness
Feather agent harness, training integrations, and evaluation tools for knowledge work