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Open-source full-stack web framework for building web apps entirely in Python, compiling a Python frontend to React and Next.js while keeping state management and event handling in Python, useful for building UIs, dashboards, and tools for AI apps and agents.

Free open-source, config-driven LLM fine-tuning framework covering full and parameter-efficient fine-tuning (LoRA, QLoRA), preference tuning (DPO, KTO, ORPO), and reinforcement learning across many model families through declarative YAML configs.

Lightweight open-source serving framework for building custom AI model inference APIs by defining a LitAPI with setup and predict methods, with batching, streaming, multi-GPU autoscaling, OpenAI-compatible endpoints, and support for compound, multimodal, RAG, and agent pipelines.

Open-source status companion for Claude Code and Codex with live local session state, your-turn alerts, usage views, and native macOS and Windows applications.

Open-source semantic cache for LLM applications that stores and reuses model responses through embedding similarity to cut API cost and latency, with modular embedding, vector-store, cache-storage, and eviction components.

Open-source Python framework for building real-time voice and multimodal conversational agents, orchestrating speech-to-text, LLM, text-to-speech, voice activity detection, and transports as a composable pipeline with pluggable providers.

Open-source, self-hostable AI engine that runs LLMs, vision, voice, image, and video models on your own hardware behind one API, with drop-in OpenAI, Anthropic, and ElevenLabs API compatibility, composable on-demand backends, and no GPU required.

Open-source suite of development tools from Microsoft for building LLM applications end to end — create executable flows that link LLMs, prompts, Python, and tools, trace and debug them, evaluate quality against datasets in CI/CD, and deploy to a serving platform.

Open-source all-in-one AI framework for semantic search, LLM orchestration, and language-model workflows, built around an embeddings database that unions sparse and dense vector indexes, graph networks, and relational databases, with pipelines, workflows, agents, and web and MCP APIs.

Open-source library for fast, memory-efficient fine-tuning, reinforcement learning, and training of open LLMs — train 500+ models up to 2x faster with up to 70% less VRAM and no accuracy loss, with LoRA/QLoRA support and export to GGUF, safetensors, vLLM, and Ollama.

Lightweight, modular open-source Python framework for building agentic AI pipelines from atomic, composable components (agents, tools, context providers), built on Instructor and Pydantic.

Open-source domain-specific language from BoundaryML for writing typed LLM functions with structured inputs and outputs, a VSCode playground, and generated clients you can call from Python, TypeScript, Go, and more.

Open-source AI memory platform that gives agents persistent long-term memory by ingesting data in any format and building a self-hosted knowledge graph, combining vector embeddings, graph reasoning, and ontology generation for meaning-based and relationship-based retrieval.

Open-source, LLM-friendly Python web crawler and scraper that turns web pages into clean, LLM-ready Markdown for RAG, agents, and data pipelines, with an async browser pool, caching, structured extraction, and adaptive deep crawling.

Open-source toolkit from the Docling project for parsing PDF, DOCX, PPTX, XLSX, HTML, images, and more into a unified DoclingDocument, with advanced PDF understanding, OCR, and exports to Markdown and JSON for gen AI and RAG workflows.

Modular open-source Python framework for building AI agents and LLM workflows with structures, tools, memory, drivers, and RAG engines, from Griptape.

Open-source observability platform purpose-built for AI agents, with OpenTelemetry-native tracing, plain-English signals, an evals SDK and CLI, SQL dashboards, dataset annotation, and MCP/CLI access, self-hostable with Apache-2.0 SDKs for Python and TypeScript.

Open-source Python framework from Prefect for structured outputs and agentic AI workflows, with tasks, specialized agents, threads, and extract/cast/classify/generate utilities.

Open-source memory layer for AI agents and assistants that extracts, stores, and retrieves user, session, and agent memories so applications can personalize and remember across interactions, with Python and TypeScript SDKs and pluggable vector, graph, and key-value stores.

Open-source Python library from dottxt for structured LLM generation, guaranteeing outputs that match a JSON schema, Pydantic model, regex, grammar, or multiple-choice set during generation across many model backends.

Open-source AI gateway from Portkey for routing to 1600+ LLMs through one OpenAI-compatible API, with automatic retries, fallbacks, load balancing, conditional routing, guardrails, caching, and observability, self-hostable via npx, Docker, or edge deployments.

Open-source visual AI programming environment from Ironclad for building, debugging, and embedding complex LLM agents and prompt-chaining graphs, with a desktop app and a TypeScript library.

Open-source Python AgentOS and multi-agent framework, evolved from AutoGen, for building conversable agents, group chats, swarms, human-in-the-loop workflows, tool use, RAG, code execution, and provider-backed agent systems.

Apache-2.0 Python framework for building visible, controllable, production AI agents and multi-agent services with event streaming, permission controls, workspaces, sandbox backends, middleware, MCP support, Mem0 memory, agent teams, and multi-tenant multi-session serving.

Local-first AI application for private chat, document RAG, workspace agents, MCP-compatible tools, model routing, memories, scheduled tasks, multimodal workflows, multi-user Docker deployments, and self-hosted agent automation.

MIT-licensed CDP browser-control harness from Browser Use that lets Claude Code, Codex, and other coding agents connect to a real or cloud Chrome browser, use screenshots and coordinate clicks, edit task-specific helpers, and optionally learn reusable domain skills for web automation workflows.

Open-source Python multi-agent framework for building agent societies, role-playing agents, stateful ChatAgent workflows, RAG agents, synthetic data generation, MCP-enabled use cases, and research-scale agent experiments.

Apache-2.0 AI-first IAM, auth server, and agent/MCP gateway with a web UI, OAuth/OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, MFA, OpenClaw/A2A positioning, an `/api/mcp` endpoint for Casdoor administration tools, and configurable upstream MCP server proxying with tool allowlists and bearer-token forwarding.

Cross-platform AI desktop client with multiple LLM providers, local model support, 300+ assistants, document and image handling, WebDAV backup, MCP server support, mini programs, and enterprise deployment options.

MIT-licensed OpenClaw skill and plugin registry with a hosted catalog, `clawhub` CLI, npm package, native OpenClaw install flows, SKILL.md publishing, plugin package publishing, vector search, scan status, moderation controls, install lockfiles, and opt-out install telemetry.