awesome-ChatGPT-repositories
Section: Langchain · A model-driven approach to building AI agents in just a few lines of code.
FreshScore 87
Entry
strands-agents/harness-sdk
Appears in 4 awesome lists
AWS's open-source, model-driven agent SDK that treats the loop, tool binding, and guardrails as first-class primitives. Supports Bedrock, Anthropic, OpenAI, Gemini, and Ollama with native MCP, built-in observability, and multi-agent patterns — the missing AWS open-source harness framework…
Open github.comstrands-agents/harness-sdk
Found in these lists
Awesome Harness Engineering
Section: Task Runners & Orchestration · AWS's open-source, model-driven agent SDK that treats the loop, tool binding, and guardrails as first-class primitives. Supports Bedrock, Anthropic, OpenAI, Gemini, and Ollama with native MCP, built-in observability, and multi-agent patterns — the missing AWS open-source harness framework…
FreshScore 88
Awesome Open Source AI
Section: 4. Agentic AI & Multi-Agent Systems · Production SDK and harness runtime for building, monitoring, and controlling end-to-end AI agent lifecycles in Python and TypeScript. Apache 2.0 licensed.
FreshScore 89
awesome-python
Section: LLM and Inference · Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
FreshScore 81
Often listed next to it
LangChain
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
In 20 listsDetails
LiteLLM
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
In 16 listsDetails
LlamaIndex
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
In 14 listsDetails
Dify
February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…
In 14 listsDetails
Mem0
Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin
In 13 listsDetails
AutoGen
Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.
In 14 listsDetails
PydanticAI
June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…
In 12 listsDetails