#agent-framework

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai

A secure, self-improving agent operating system in a single Go binary. Bring any model, manage local models, point it at a goal, and grant it real authority: every action is sandboxed, governed, and sealed into a verifiable, tamper-evident record an independent party can check. Runs interactive or 24/7, or embed it in your own system.

Agent Knowledge Manager (akm). A CLI tool to manage AI agent knowledge, memories, skills, and more.

The .NET library to build AI agents with 30+ built-in connectors.

Define AI agent roles in YAML and run them anywhere: CLI, API server, or autonomous daemon

Spec-driven development framework — AI agents that think before they type

Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.

Start a run in your terminal and walk away. Get pinged when it finishes, or needs you. Every step is a readable trace you check before anything ships.

Self-hostable AI agents you can actually leave running — durable crash-resume, governed autonomy, seccomp sandbox, offline-replayable workflows, CI-native eval. Async-Python, YAML-config, multi-provider (OpenAI/Anthropic/Cloudflare), MIT.

A Go framework for the microagents architecture with dynamic discovery — specialized agents and tools that register their capabilities with a shared registry, find each other by logical name at runtime, and coordinate without a central conductor.

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.

The agent framework where every run is durable, replayable, and resumable by default.

An open-source terminal coding agent runtime and CLI for real project work.

The complete toolkit for building AI agents in JavaScript. Lightweight core, React & Terminal UIs, autonomous runtime, tools, skills, memory, RAG and observability. Plug-and-play from chat UI to full agents.

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.