Agent frameworks

An open-source, local-first personal AI assistant aimed at long-term use, that keeps conversations, files, research and generated documents together in one task and can follow up later through scheduled work.

• Agent frameworks

A self-hosted platform combining AI agents with a data stack: multi-agent workflows and RAG knowledge bases on one side, and an ETL pipeline, a lakehouse, BI dashboards and no-code machine learning on the other, governed by one shared catalog and audit trail.

• Agent frameworks
• Data engineering

An evolutionary runtime that breeds and grades populations of autonomous coding agents against a benchmark over repeated generations, evolving each agent's system prompt, code, tools and dependencies rather than just its output.

• Agent frameworks
• AI evals

A desktop AI agent that runs tasks locally through its own sandboxed execution runtime, connecting to a model of your choice and using skills and MCP tools to read files, run commands and automate scheduled work from a chat interface.

• Agent frameworks

A multi-agent AI infrastructure framework that adds scheduling, memory, human approval, cost control and security as reusable runtime modules around agent tool calls, rather than just letting a model call tools.

• Agent frameworks

A collection of AWS reference examples and blog posts showing how to build autonomous agent applications on AWS using open-source frameworks such as LangGraph, CrewAI and LlamaIndex, spanning foundation models, orchestration, memory, tools and evaluation.

• Agent frameworks
• Tutorials

An open-source, self-hosted alternative to Claude Managed Agents and the OpenAI Agents API that runs agents with durable sessions, sandboxed tools, memory and encrypted credentials on a developer's own infrastructure.

• Agent frameworks

An open, schema-driven specification language for configuring an AI agent's state, execution flow, string templates and deterministic hooks, developed for Salesforce's Agentforce but intended to describe agents generally.

• Agent frameworks

A single command-line tool that turns a plain-language request into a selected operation across APIs, browsers, desktops, local tools and MCP servers, choosing the strongest available interface and returning a structured result.

• Agent frameworks
• CLI tools

An open-source orchestration system that lets multiple specialized OpenClaw agents join one shared group chat and collaborate with each other rather than only replying one-on-one to a human.

• Agent frameworks

A Kubernetes-native framework for deploying and orchestrating AI agents as cluster resources, with hierarchical multi-agent delegation and an OpenAI-compatible chat endpoint on every agent.

• Agent frameworks
• Containers

A conversational digital-transformation platform, built on the RASA framework, that gives teams a no-code web interface for building, training, testing and maintaining LLM-based chatbot assistants.

• Agent frameworks
• Workflow automation

An installable Android app that packages the DeepSeek Harness AI agent runtime for a phone, letting it install apps, tap the screen, change system settings and take screenshots through Shizuku or root, without needing Termux or command-line setup.

• Agent frameworks
• Mobile

A collection of runnable notebooks implementing a domain-agnostic Context Engine, a transparent architecture for orchestrating multi-agent systems through semantic context and reasoning rather than hard-coded workflow logic.

• Agent frameworks
• Tutorials

A local-first AI desktop assistant that runs scheduled jobs, replies through chat apps such as Telegram, WhatsApp, Discord and Slack, and connects to real accounts like GitHub and Gmail without sending data to a hosted service.

• Agent frameworks

A retired Laravel package for building autonomous AI agents with tools, sub-agent delegation and persistent memory; the final release still works but gets no further updates, and the project has moved to a separate evaluation tool instead.

• Agent frameworks

An open-source visual AI agent builder and runtime, with a drag-and-drop workspace for building agent workflows without code, extendable with custom code and deployable locally, in the cloud or at the edge.

• Agent frameworks
• Workflow automation

A lightweight AI agent construction platform with configurable, hosted agents and MCP services, letting a user turn any HTTP endpoint into an MCP tool and have agents communicate with each other over A2A.

• Agent frameworks

An open, provider-agnostic pub/sub standard and CLI for coordinating AI agents in any topology, a flat team of peers, a manager with workers, a chain of command or any mix, across machines.

• Agent frameworks

A platform for building personal AI agents that scales into team and enterprise agent workforces, letting a user describe an outcome rather than write a workflow.

• Agent frameworks

QuantumByte is an open-source app-builder that generates a working application from a plain-language product intent, then continuously re-verifies each agent turn against explicit, user-locked business requirements before calling the app ready.

• Agent frameworks

A discontinued event-based framework for building multi-agent systems, where AI agents communicate asynchronously over a websocket and interact with shared objects in a customizable environment.

• Agent frameworks

A framework for long-context LLM reasoning that replaces free-form recursive code generation with a typed functional runtime grounded in lambda calculus, using the model only on small, bounded subproblems.

• Agent frameworks

A multi-agent system that automates end-to-end multimodal machine learning workflows, turning raw data into a trained ML solution with no manual pipeline building, across CLI, Python API, web UI and MCP interfaces.

• Agent frameworks
• Models