Entry
Appears in 4 awesome lists
Host agent that plans a complex task as a DAG and coordinates dependencies and parallel execution across built-in research, coding, design, and on-call agents and third-party agents over ACP, CLI, or OpenAI-compatible APIs. Presets include Claude Code, Codex, OpenCode, OpenClaw, Hermes Agent,…
Section: Multi-Agent Swarms · Host agent that plans a complex task as a DAG and coordinates dependencies and parallel execution across built-in research, coding, design, and on-call agents and third-party agents over ACP, CLI, or OpenAI-compatible APIs. Presets include Claude Code, Codex, OpenCode, OpenClaw, Hermes Agent,…
Section: NLP · The memory-first, self-improving agent harness built on EverOS, with MiroThinker-powered deep research and reasoning.
Section: Explainers · Direct a two-minute hand-drawn animated film from a repository's Git history: story, character, storyboard, HTML review studio, then a 4K/60fps MP4.
Section: 4. Agentic AI & Multi-Agent Systems · Multi-agent harness whose host agent plans complex tasks as DAGs and delegates them to built-in research, coding, design, and on-call agents or to third-party agents over ACP, CLI, or OpenAI-compatible APIs, with cross-session memory and an experimental self-evolution loop that installs only…
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
The most-deployed memory layer for AI agents — drop-in add/search/update/delete fact storage with LLM-extracted long-term / short-term / semantic memory: automatic fact consolidation (dedup, contradiction resolution, decay) so agents keep "context that persists" without context bloat;…
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
TypeScript-native agent framework (from the Gatsby team) with 22K+ stars and 300K+ weekly npm downloads. Connects to 40+ providers through one standard interface, with built-in workflows, RAG pipelines, and agent orchestration. The @mastra/deployer handles serverless deployment, and the eval…
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…
🟢🟠 — Apache-licensed AI and MCP gateway with multi-provider routing, virtual-key access controls, budgets, rate limits, MCP aggregation, OAuth, automatic fallbacks, and load balancing. (Maxim) — note: model-provider credentials and proxied request/response data are sensitive; restrict and…;…