Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
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.
Python, LlamaIndex, LangChain, 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco, Nuxeo DBs. 14 data sources (10 auto-sync), KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, REST, MCP Server. Options: Langflow, CocoIndex
An Agentic Framework for Reflective PowerPoint Generation
Transform any Cobra CLI into an MCP server
Qt C++ library for working with AI/LLM Providers and MCP
Absurdly easy Model Context Protocol Servers in Typescript
Agent-native TypeScript framework for MCP servers.
AtlasClaw is an enterprise agent framework supporting mutliple users and multi system integration.
Implementation of Podlite markup language
🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
The World's First Virtual Terminal for AI Agents
Simple, modular, and observable Go framework for backend applications.
Composable agent runtime with enforced isolation boundaries
Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.
Universal memory runtime for AI agents
pctx is the execution layer for agentic tool calls. It auto-converts agent tools and MCP servers into code that runs in secure sandboxes for token-efficient workflows.
OWASP Foundation web repository
AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion
A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.
API Framework heavily relying on the power of DuckDB and DuckDB extensions. Ready to build performant and cost-efficient APIs on top of BigQuery or Snowflake for AI Agents and Data Apps
🔬 A Researcher&Agent-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!
Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.
Enterprise Governance Layer (Identity, RBAC, Credentials, Auditing, Logging, Tracing) for the Model Context Protocol SDK