Agent frameworks

A production-focused multi-agent runtime platform, built on FastAPI and LangGraph, that dispatches user requests through a supervisor agent to specialized subagents with session isolation, long-term memory and dynamic model switching.

• Agent frameworks
• Agent memory

A multi-tenant agentic AI platform that coordinates LLM-powered agents to analyze tasks, generate code, review changes and open pull requests autonomously, running on an existing Claude Code or Codex CLI subscription instead of metered API billing.

• Coding agents
• Agent frameworks

A multi-agent, self-correcting retrieval-augmented reasoning engine that plans multi-hop evidence retrieval, then has a critic and reviser iterate on an answer until it converges, with reproducible evaluation against a judge.

• Agent frameworks
• RAG

A CLI that turns a repository into a self-organizing AI engineering team of eight specialist agents, running a contract-driven, evidence-gated loop of dispatch, build, test and review until a pull request lands.

• Coding agents
• Agent frameworks

An SDK for building agentic MCP servers by composing and fine-tuning existing Model Context Protocol tools, wrapping them into new tools, multi-agent systems, or code-execution and sandboxed sampling modes.

• Agent frameworks
• MCP servers

A self-hosted AI workspace that turns a plain-English chat request into an editable visual workflow, with a planner, implementer and independent reviewer completing an acceptance contract before any side effect runs.

• Agent frameworks
• Workflow automation

A Vercel AI SDK provider for Ollama that implements the official Ollama API with minimal dependencies, working in Node.js, browsers and edge environments.

• Agent frameworks
• Inference

An agent orchestration system that gives AI engineering agents persistent state outside the model, hierarchical memory, a shared communication layer and a scheduler, so work continues across sessions instead of starting over each time.

• Agent frameworks
• Agent memory

An open, MCP- and A2A-compatible protocol and runtime for auditable human-agent work, giving approvals, overrides, handoffs and escalations one shared, hash-chained shape that can be queried instead of grepped from logs.

• Agent frameworks

A Java framework for building multi-agent systems, unifying agents, models and tools as composable components, ported to the Java ecosystem from the Python OxyGent framework with Spring Boot integration.

• Agent frameworks

An auditable AI agent control plane with evidence-backed memory, a governed tool runtime, checkpoint-based recovery and a companion engineering tutorial, aimed at answering where a fact came from and what an agent did unattended.

• Agent frameworks
• Agent memory

CODEC is the open-source engine behind Sovereign AI Workstation, a voice-controlled AI agent for macOS that watches the screen, controls apps, writes code, and works as both an MCP client and an MCP server.

• Agent frameworks
• MCP servers
• Speech

A lightweight Python framework for building an AI agent in a few lines of code, with a tool decorator, streaming output, context management and native Model Context Protocol integration.

• Agent frameworks

An enterprise Java AI agent server, built on Spring Boot and LangChain4j, combining ReAct reasoning, hybrid retrieval-augmented generation, and semantic caching for knowledge Q&A.

• Agent frameworks
• RAG

A self-hostable agent harness built on Claude Code that runs a team of AI agents with their own chat channels, memory, and scheduled tasks, coordinated from a web dashboard.

• Coding agents
• Agent frameworks

A Rust framework for building and managing autonomous AI agents, with declarative YAML agent configuration, long-term memory, planning and multi-agent collaboration.

• Agent frameworks

A distributed multi-agent dialogue simulator, built on FastAPI and asyncio, where language model agents negotiate meaning and build a shared symbolic vocabulary through recursive interaction.

• Agent frameworks

An open-source orchestration runtime that treats AI agents, tools, and policies as declarative YAML resources, scheduling, routing, and governing them like production infrastructure.

• Agent frameworks

A source-available, self-hosted runtime for running fleets of autonomous AI agents in isolated containers, with a central credential vault and per-agent spending budgets.

• Agent frameworks
• Containers

An open-source backend runtime, AI orchestration layer, and command-style web interface for building simulation environments such as supply-chain or crisis-response training exercises.

• Agent frameworks

A multi-agent forum simulator where several LLM-driven personas post, reply, and vote in a shared discussion, built to study emergent agent behavior and social dynamics.

• Agent frameworks

A research framework in which a meta-agent designs, evaluates, and verifies multi-agent system architectures for a task without labeled supervision or a validation set.

• Agent frameworks
• Papers

A research framework that replaces a single central orchestrator with a shared, verified context so parallel agent threads can accumulate reusable progress on a coding benchmark.

• Agent frameworks
• Papers

A Python framework for orchestrating multiple AI agents using declarative type contracts and a shared blackboard architecture, instead of hand-written prompts and rigid agent graphs.

• Agent frameworks