The fastest, cheapest, most efficient open-source agent harness. Run more than 500 agents on a $10 VPS.
- ai-agents
- llm
- local-first
- rust
Repository Index
71,235 visible repositories in the index
1–8 of 8 · Most stars
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
- aws
- aws-bedrock
- anthropic-claude
- aws-cdk
General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
- agentic-ai
- ai-agents
- langchain
- langgraph
A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents
- meta-agents
- meta-optimization
- runtime-supervision
- workflow-automation
Everything you need for building an agent. A Go library for the LLM tool-calling loop with budgets, hooks, skills, and tracing.
A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
- ai
- golang
- llm
- structured-output
Lightweight AI agent runtime for Go. Define multi-agent crews in YAML, run them with goroutines and channels, and let the runtime handle scheduling, parallelism, retries, and observability — without leaving the Go ecosystem.