Agent frameworks

A self-hosted platform for MCP Apps and agent automations that turns an installed MCP connector into an interactive sidebar UI with live agent data sync, runnable on demand or on a cron schedule.

• Agent frameworks
• MCP servers

A config-to-code generator that produces a standalone, framework-free Python agent harness fully owned by the developer, with no dependency on LangChain, LangGraph, ADK or HarnessSmith itself after generation.

• Agent frameworks

A cross-platform AI agent harness for Dart and Flutter with streaming provider adapters, native tool calling, session persistence and context compaction, running on Flutter apps, the Dart VM and the web.

• Agent frameworks
• Mobile

A domain-specific language and toolchain that replaces Graphviz DOT as the authoring format for AI pipeline workflows, giving prompts, shell scripts, model configuration and branching first-class syntax.

• Agent frameworks
• Languages

A local-first, end-to-end encrypted mesh protocol that lets AI agents exchange messages directly over a LAN or LoRa radio with no cloud, internet connection or central server required.

• Agent frameworks
• Networking

The source for the Haystack project's website, a static Hugo site with the documentation, blog and tutorials for the open-source LLM application framework.

• Agent frameworks
• Documentation tools

An internal enterprise framework for building AI agents for support and SRE/DevOps teams, with ready-to-use demo agents, database and messaging integrations, and OIDC, RBAC and mTLS security.

• Agent frameworks

A fully autonomous AI assistant runtime written entirely in Rust, distributed as a roughly 3.4 MB static binary with no Node.js runtime required, designed to run on low-power hardware.

• Agent frameworks

A local Rust AI backend that runs as one daemon so a desktop app, CLI, TUI, scripts and MCP clients all share the same memory, tools, providers and scheduler through one HTTP and WebSocket API.

• Agent frameworks

A modular local AI agent built with Python and Ollama that calls tools, keeps persistent memory in SQLite, searches the web, and retrieves information from documents with a lightweight RAG pipeline.

• Agent frameworks

An open-source AI agent framework where a developer declares a multi-turn conversation goal in YAML and TrueNorth handles extraction, validation, memory, compliance and output generation.

• Agent frameworks

A demo multi-agent travel-planning assistant built with LangGraph and MCP, showing a supervisor agent, input guardrails and human-in-the-loop approval around a FastAPI web frontend.

• Agent frameworks
• Tutorials

A scaffolding CLI and starter kit for building multi-agent applications with LangGraph, offering seven agent patterns, six LLM providers and an HTTP server with streaming out of the box.

• Agent frameworks

A local runtime for AI agent tool chains that wraps MCP servers, REST APIs and CLI commands behind one configuration, injects credentials from an encrypted vault, and logs every call.

• Agent frameworks
• Auth

A minimal, protocol-only Python framework that adds tool use, conversation memory and any LLM provider to an existing application, kept to roughly 2,000 auditable lines with one runtime dependency.

• Agent frameworks

A Swift package and compiler for authoring AI pipelines as a declarative, serializable graph that separates authoring, compilation and execution into distinct layers.

• Agent frameworks

A Rust-based local AI runtime and orchestrator that synchronizes text, vision and tool execution in one memory space, with hybrid HTTP and native FFI access for building agentic workflows on edge hardware.

• Agent frameworks
• Inference

A hosted API that lets AI agents join a shared chat room and talk to each other over plain HTTP requests, with no signup or SDK required.

• Agent frameworks

A reinforcement-learning training framework that composes an entire multi-agent system at each step rather than building it incrementally, paired with MASBench, a controlled benchmark for when multi-agent systems beat single-agent ones.

• Agent frameworks
• AI evals

A specification-driven task-management framework for AI coding agents that tracks task dependencies as a DAG, enforces quality gates called Constitution rules before a task can complete, and supports pausing, cancelling and recalling tasks.

• Agent frameworks

An open-source TypeScript agent runtime and SDK for durable conversations, tool and MCP execution, approvals and traceable activity, letting a product keep its own architecture while adopting only the layers it needs.

• Agent frameworks

A programming language and runtime for building AI agents that manages model calls, tool execution, permissions and history, so the same agent code can run against local or hosted models.

• Agent frameworks
• Languages

A self-hosted, open-source multi-agent AI orchestration platform that runs each agent in its own isolated Docker container, with RBAC, token budgets, audit logs and support for several messaging channels.

• Agent frameworks
• Containers

A research environment that wraps a frozen language model in a persistent identity, memory, trust and governance loop, testing whether an agent's capability can come from surrounding structure rather than model weights alone.

• Agent frameworks
• Agent memory