Open Source AI Agents
AI agents are software systems that use models to interpret goals, decide what to do, and take actions through tools, services, or applications. They can break larger tasks into steps, retrieve information, interact with databases, and adapt their actions based on results. Agent technology helps automate workflows that are difficult to handle with a single prompt or a fixed sequence of rules, while allowing people to review or guide important decisions.
Open source options include agent frameworks, workflow orchestrators, tool integrations, memory and retrieval components, and interfaces for building or operating agents. When choosing one, consider project maturity, license, maintenance activity, model and tool compatibility, deployment requirements, and how it handles permissions, errors, and evaluation. These tools are useful to developers, researchers, and organizations exploring task automation or building assistants tailored to their needs.
13 repositories · updated October 3, 2026
Awesome-Self-Evolving-Agents: Explore Research on Evolving Agents
A curated research index and survey companion covering self-evolving AI agents. It organizes papers, benchmarks, libraries, and applications for researchers and practitioners exploring how agents improve through model, environment, and combined evolution.
pi: Build and Customize AI Coding Agents
Pi is a TypeScript toolkit for building and using AI agents, with a coding-agent CLI, terminal UI, and unified API for multiple LLM providers. Its extensible design suits developers who want to adapt an agent to their workflows.
agent-sandbox: Manage Isolated Stateful Workloads on Kubernetes
Agent Sandbox adds Kubernetes APIs and controllers for isolated, stateful workloads with stable identity and persistent storage. Use it to run long-lived AI agent environments, development sessions, or other singleton workloads that need managed lifecycle control.
QwenPaw: Run a Self-Hosted Personal AI Assistant
QwenPaw is a personal AI assistant that runs locally or in the cloud and connects to chat apps, models, and extensible tools. It suits people who want a customizable agent with persistent memory and security controls under their own deployment.
ReMe: Manage Persistent Memory for AI Agents
ReMe turns agent conversations and resources into searchable, editable Markdown memory that can evolve over time. It suits developers building assistants that need reusable knowledge across sessions and agent runtimes.
TencentDB-Agent-Memory: Share Reusable Memory Across AI Agents
TencentDB Agent Memory is a team memory hub that turns conversations, documents, and code into reusable assets for AI agents. It suits teams that want agents to share curated context and skills across sessions and frameworks.
memoripy: Build Evidence-Based Memory for AI Agents
Memoripy is a local memory runtime for AI agents that keeps versioned, sourced records and explains why they appear in recall. It suits developers who need scoped, auditable memory rather than an opaque store of accumulated text.
hermes-webui: Use Hermes Agent in a Web Browser
Hermes WebUI provides a self-hosted browser interface for Hermes Agent, with chat, session management, and workspace browsing. It suits people who already run Hermes and want to access it from a desktop or phone without using the terminal.
vanna: Turn Natural-Language Questions into SQL Insights
Vanna helps teams build chat interfaces that translate natural-language questions into SQL and return streamed tables, charts, and summaries. It is aimed at applications that need database-backed answers with user-aware permissions and an embedded web UI.
Biomni: Run Biomedical Research Tasks with an AI Agent
Biomni is a Python agent for carrying out biomedical research tasks using language-model reasoning, retrieval, and code execution. It is aimed at researchers who want to connect natural-language questions with biomedical tools and data.
Memori: Give AI Agents Persistent Memory
Memori adds structured, persistent memory to LLM applications by capturing agent execution and conversations. Its Python and TypeScript SDKs integrate with existing models and data infrastructure, with managed cloud and BYODB options.
ComfyUI-Copilot: Add AI Assistance to ComfyUI Workflows
ComfyUI-Copilot is a custom node that helps ComfyUI users create, debug, and revise image-generation workflows with AI assistance. It is useful for creators and developers who want workflow support and parameter tuning inside ComfyUI.