#langgraph

Community Plugins for Genkit (OpenAI, Groq, Anthropic, Cohere, etc)

Agentic SOC Platform: A powerful, flexible, open-source, and agent-centric automated security operations platform (AI SOC)

Polyglot AI agent service — knowledge chat, tools, durable checkpoints, human-in-the-loop, and multi-participant conversations over one schema-driven WebSocket protocol. Built on the smooth-operator-core engine (5-language parity). Deploy to Kubernetes, AWS serverless, or run locally. Hosted at lom.smoo.ai.

Опис репозиторію не опубліковано.

🚀 LangGraph for Java is a library for Graph Engineering, designed to build sophisticated AI agentic architectures within the Java ecosystem. It works seamlessly with both Langchain4j and Spring AI.

Open-source AI engineering platform — LLM observability, evals, metrics, prompt management, playground, and datasets. OpenTelemetry-native, self-hostable. Because "it worked when I tried it" is not an eval.

Опис репозиторію не опубліковано.

yeaboi — AI Scrum Master in your terminal: sprint planning, standups, retros, planning poker, 1:1s and delivery reports for your team, plus cost, daily digests and security posture for the AI coding agents working alongside it.

A production-grade agent runtime engineered from the Harness Engineering philosophy.

Self-hosted OpenAI/Anthropic-compatible gateway: give each AI agent run a dollar budget, enforced before the provider, with a payload-free per-run cost record.

🛀 Soothe - An autonomous expert system engineered to orchestrate complex workflows and execute long-duration tasks with precision and persistence.

Runtime failure prevention for AI agents. Prevents predictable failures before they reach the execution layer

Security & Observability for AI Agents — audit every tool call, enforce allow/block policies, catch prompt injection and data leaks. Local-first; works with Claude Code, Codex, Copilot CLI, OpenClaw, LangChain, and all major LLM APIs.

An open-source framework for composing, running, and growing multi-agent AI swarms.

📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.

The authorization kernel for AI agents. Block, allow, or escalate agent tool calls with YAML rules — deterministic-first, LLM fallback.

Reflective memory for agents

Python framework for horizontally-scalable, agent-native apps. A three-tier cache — SQLite, NATS KV, PostgreSQL — keeps state coherent across pods. Observable by default.

The self-evolving agentic framework for bioinformatics

LLM agent evaluation framework with 7 Harness Gates (A–G) and 58 metrics. Supports LangChain, CrewAI, AutoGen, DSPy, PydanticAI. Native LLM-as-Judge, OTEL tracing, FastAPI dashboard.

Опис репозиторію не опубліковано.

A self-improving reflection / skill-creation agent on LangGraph — the LangStage reference agent