MCP en toolaanroepen
atmosphere/atmosphere
Atmosphere is a Java-based real-time framework for building, streaming, and governing AI agents. It provides a unified broadcaster pipeline for WebSocket, SSE, long-polling, and gRPC, alongside built-in governance, human-in-the-loop workflows, and multi-protocol support including MCP, A2A, and AG-UI.
★ 3,8K⑂ 760Java
Apache-2.0Q98
Agents en multi-agents
openagents-org/openagents
An open-source platform providing a collaborative operating system for AI agents, enabling unified workspace management, multi-agent coordination, and network integration without vendor lock-in.
★ 4K⑂ 403TypeScript
Apache-2.0Q98
Agents en multi-agents
flyteorg/flyte
Flyte is an open-source orchestration framework for reliably building, scaling, and deploying machine learning pipelines, models, and agents using pure Python.
★ 7,2K⑂ 861Go
Apache-2.0Q98
LLM en foundationmodellen
nvidia-nemo/speech
A scalable generative AI framework built for researchers and PyTorch developers working on Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Speech LLMs.
★ 17,9K⑂ 3,5KPython
Apache-2.0Q98
Agents en multi-agents
langchain-ai/open-swe
Open SWE is an open-source framework for building internal coding agents. Built on LangGraph and Deep Agents, it provides cloud sandboxes, Slack/Linear/GitHub invocation, subagent orchestration, and automatic PR creation for engineering organizations.
★ 10,5K⑂ 1,2KPython
MITQ98
Agents en multi-agents
browseros-ai/browseros
BrowserOS is a free, open-source Chromium fork with a built-in AI agent, accompanied by BrowserOS neo, a secondary browser designed specifically for AI agents. It enables local-first browser automation, supporting multiple LLM providers and MCP-compatible tools.
★ 12,9K⑂ 1,4KTypeScript
AGPL-3.0Q98
Agents en multi-agents
plastic-labs/honcho
Memory infrastructure for building stateful AI agents that understand changing people, agents, groups, projects, and ideas over time.
★ 6,5K⑂ 788Python
AGPL-3.0Q98
Agents en multi-agents
volcengine/openviking
OpenViking is an open-source context database that unifies agent memory, knowledge RAG, and skills into a single virtual filesystem, enabling AI agents to browse and retrieve context deterministically using a file-system-like protocol.
★ 28K⑂ 2,2KPython
AGPL-3.0Q98
MCP en toolaanroepen
headroomlabs-ai/headroom
Headroom is a local-first context compression layer that reduces token usage for AI agents by compressing tool outputs, logs, files, and RAG chunks before they reach the LLM. It offers library, proxy, and MCP server modes and claims to preserve answer accuracy while cutting tokens by 15-95% depending on workload.
★ 65K⑂ 4,9KPython
Apache-2.0Q98
Computer vision
deepfakes/faceswap
An open-source toolkit for face processing, model training and video conversion.
★ 57,5K⑂ 13,5KPython
GPL-3.0Q90
Agents en multi-agents
potpie-ai/potpie
Potpie transforms a codebase and software development lifecycle into a living context graph for AI agents, indexing code, structure, decisions, source history, and team knowledge to enable context-aware coding, planning, and debugging.
★ 5,5K⑂ 642Python
Apache-2.0Q98
MCP en toolaanroepen
oraios/serena
Serena is an MIT-licensed, Python-based MCP toolkit that provides AI coding agents with IDE-grade semantic code retrieval, editing, refactoring, and debugging capabilities through high-level symbol-level abstractions.
★ 27,6K⑂ 1,8KPython
MITQ98