एजेंट और मल्टी-एजेंट
run-llama/llama_index
LlamaIndex is an open-source Python data framework for building LLM applications with private data, offering data connectors, indexing structures, and advanced retrieval interfaces. It is complemented by LlamaParse, an enterprise platform for agentic OCR, parsing, extraction, and indexing.
★ 51.4K⑂ 7.9KPython
MITQ98
एजेंट और मल्टी-एजेंट
getzep/graphiti
Graphiti is an open-source Python framework by Zep for building and querying temporal context graphs. It autonomously transforms structured and unstructured data into a dynamic knowledge graph that tracks fact validity over time, preserving provenance and enabling hybrid retrieval for AI agents.
★ 29.5K⑂ 3KPython
Apache-2.0Q98
एजेंट और मल्टी-एजेंट
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
एजेंट और मल्टी-एजेंट
google/adk-python
An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
★ 21K⑂ 3.8KPython
Apache-2.0Q98
एजेंट और मल्टी-एजेंट
pydantic/pydantic-ai
A Python agent framework designed to help developers build production-grade applications and workflows with Generative AI, emphasizing type-safety, structured validation, and ergonomic design.
★ 19.1K⑂ 2.5KPython
MITQ98
एजेंट और मल्टी-एजेंट
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
एजेंट और मल्टी-एजेंट
genkit-ai/genkit
Genkit is an open-source framework built and used in production by Google's Firebase for developing full-stack, AI-powered applications. It provides cross-language SDKs and unified APIs for integrating various AI models to build chatbots, automations, and recommendation systems.
★ 6.3K⑂ 816TypeScript
Apache-2.0Q98
एजेंट और मल्टी-एजेंट
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
एजेंट और मल्टी-एजेंट
opencsgs/csghub
CSGHub is an open-source, on-premise platform for managing the full lifecycle of Large Language Model assets, including models, datasets, spaces, and code, offering functionality comparable to a private Hugging Face.
★ 4.2K⑂ 525Vue
Apache-2.0Q98
एजेंट और मल्टी-एजेंट
agentscope-ai/reme
ReMe is a local-first memory layer for AI agents that transforms conversations and resources into readable, editable, and searchable Markdown memory files.
★ 3.3K⑂ 283Python
Apache-2.0Q98
एजेंट और मल्टी-एजेंट
sno-ai/llmix
A production LLM call layer for AI agents and tools that wraps existing provider SDKs with config-driven model presets, caching, resilience patterns, and key rotation across Python, TypeScript, and Rust.
★ 131⑂ 28Python
Apache-2.0Q91
एजेंट और मल्टी-एजेंट
browser-use/browser-use
Browser automation tooling that enables AI agents to interact with websites.
★ 112.3K⑂ 12.4KPython
MITQ90