ComposioHQ/composio
Composio provides SDKs for building AI agents capable of interacting with over 1000 tools, offering capabilities like tool search, context management, and authentication across various AI frameworks.
Awesome Infra for AI › Workflow Orchestration for AI
Workflow Orchestration for AI
TencentCloud/TencentDB-Agent-Memory
TencentDB Agent Memory is a memory management system for AI agents, featuring a 4-tier progressive pipeline to improve efficiency and reasoning by categorizing and condensing agent memories without...
TransformerOptimus/SuperAGI
SuperAGI is an open-source framework designed for building, managing, and running autonomous AI agents, offering tools for deployment, capability extension, and performance monitoring.
dataelement/bisheng
BISHENG is an open LLM application DevOps platform focusing on enterprise scenarios, providing comprehensive features for GenAI workflows, RAG, agents, model management, evaluation, and enterprise-...
iflytek/astron-agent
Astron Agent is an enterprise-grade platform for building, orchestrating, and deploying AI agent applications with integrated RPA, model management, and high-availability features.
0xPlaygrounds/rig
Rig is a Rust library designed for building modular and scalable LLM-powered applications, offering a unified interface for multiple model providers and vector stores.
plastic-labs/honcho
Honcho is a memory infrastructure for building stateful AI agents, enabling them to understand and retain information about people, agents, groups, projects, and ideas over time.
julep-ai/julep
Julep is an open-source platform for building, orchestrating, and self-hosting agent-based AI workflows with persistent memory and tool integration.
GoogleCloudPlatform/agent-starter-pack
A Python package providing production-ready templates for GenAI agents on Google Cloud, focusing on infrastructure, CI/CD, observability, and security.
builderz-labs/mission-control
A self-hosted control plane for dispatching tasks, tracking runs, monitoring spend, and coordinating various AI agent runtimes through a local dashboard.
memodb-io/Acontext
Acontext enhances AI agent learning by automatically capturing successful agent interactions as "skill memory" in human-readable Markdown files, facilitating reuse and introspection.
Josh-XT/AGiXT
AGiXT is a comprehensive AI automation platform that orchestrates instruction management and complex task execution across diverse AI providers, featuring adaptive memory and a versatile plugin sys...
cheshire-cat-ai/core
Cheshire Cat is an open-source framework for building and operating custom AI agents and conversational layers, featuring an API-first design, RAG integration, plugin extensibility, and support for...
apache/burr
Apache Burr is a Python framework for building and operating stateful AI applications like chatbots and agents, providing state management, tracing, and persistence.
trypromptly/LLMStack
LLMStack is a no-code platform for building and deploying generative AI agents and applications by chaining multiple LLMs, integrating custom data, and connecting to business processes, offering bo...
covibes/zeroshot
Zeroshot is an open-source CLI that orchestrates multi-agent AI coding workflows to autonomously implement, review, test, and verify code changes for software engineering tasks.
AgentEra/Agently
Agently is an AI application runtime framework for building reliable GenAI services, focusing on stable contracts, observable execution, and restart-safe workflow boundaries for LLM applications.
ThousandBirdsInc/chidori
Chidori is a reactive runtime and agent framework for building durable, replayable, and resumable AI agents using plain async TypeScript, featuring automatic checkpointing and replay with zero LLM ...
LiteLLM-Labs/litellm-agent-control-plane
LiteLLM Agent Control Plane provides a unified interface and management for deploying, running, and orchestrating various AI agents across different runtimes.
SmythOS/sre
SmythOS is an open-source runtime environment (SRE) and SDK for building, running, and managing production-ready AI agents, providing OS-level abstractions for AI resources.
dynamiq-ai/dynamiq
Dynamiq is an orchestration framework for developing and streamlining agentic AI and LLM applications, specializing in RAG and multi-agent workflows.
tensorlakeai/tensorlake
A sandbox-native compute platform for AI agents: stateful Firecracker MicroVMs with snapshots, cloning and live migration, plus a serverless function runtime for long-running orchestration.
unohee/OpenSwarm
Autonomous AI agent orchestrator that uses multiple LLMs (Claude, GPT, local models) to process Linear issues, perform coding tasks, and maintain long-term memory for repository learning.
Haohao-end/openagent
Full-stack platform that empowers teams to build, orchestrate, publish, and operate AI applications with visual workflows, dataset management, and multi-model support.
bosun-ai/swiftide
Swiftide is an opinionated Rust framework for building LLM applications, offering an agent harness, typed task graphs for orchestration, and streaming RAG pipelines for indexing and querying.
stoyan-stoyanov/llmflows
LLMFlows is a Python framework for building, operating, and debugging transparent LLM applications with explicit control over prompts, LLM calls, and dependencies.
sandbaseai/sandbase-harness
A local-first runtime for AI agents providing persistent sessions, sandboxed tool execution, credential vaults, memory, audit trails and a built-in console, all running on your own infrastructure.
framerslab/agentos
AgentOS is a TypeScript framework for building AI agents with cognitive memory, runtime tool forging, multi-agent orchestration, and support for 11 LLM providers.
Abilityai/trinity
Self-hosted platform for running autonomous AI agents in isolated Docker containers, with fleet-wide scheduling, agent-to-agent delegation, observability and a tamper-evident audit trail.
jaylfc/taOS
taOS is a self-hosted, distributed AI agent operating system designed for consumer hardware, providing a web desktop, app store, agent deployment, and a framework-agnostic AI memory system for orch...
neurocult/agency
Agency is a Go library designed for building autonomous AI agents and generative AI applications with a clean, idiomatic Go approach, simplifying interactions with LLMs and other generative AI models.
operand/agency
Agency is a minimal Python framework that provides an Actor model for building and operating agent-integrated systems, enabling flexible and scalable communication between AI agents and traditional...
ultracontext/ultracontext
UltraContext provides open-source context infrastructure for AI agents, enabling real-time capture, sharing, and versioning of conversational context across different agents and LLM frameworks.
ai-sdlc-framework/ai-sdlc
Spec-driven orchestration framework that dispatches AI coding subagents through a dependency graph, runs cross-harness reviews, and gates merges with governance policies and signed attestations.
Idun-Group/idun-agent-platform
Self-hosted, open-source production wrapper that turns a LangGraph or Google ADK agent into a FastAPI service with a chat UI, admin panel, tracing, guardrails, memory persistence, MCP tool governance, and prompt management.
chatchat-space/LangGraph-Chatchat
LangGraph-Chatchat is an open-source, offline-deployable RAG and Agent application built with LangGraph, supporting open-source LLMs and vector databases for knowledge-based Q&A.
jigjoy-ai/mozaik
Mozaik is a TypeScript runtime for building self-organizing AI agents, enabling them to communicate, coordinate, and adapt at runtime rather than relying on fixed workflows.
langgenius/mosoo
Cloudflare-native agent runtime and control plane that runs Codex, Claude Agent SDK and OpenCode behind API endpoints in isolated sandboxes, with streamed tool activity, durable threads and inspectable runs.
holon-run/holon
Holon is a local workbench that provides a continuous, event-driven execution environment for AI agents, allowing them to perform tasks that span multiple sessions and human interactions.
hanyeol/model-compose
Declarative, docker-compose-style YAML tool that wires models, agents, RAG pipelines and MCP servers into deployable AI services across HTTP, WebSocket and MCP protocols.