A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
Governance standard and reference toolset for LLM-maintained knowledge corpora
The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.
A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.
Let Your AI Play Detroit：Become Human
AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax.
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.
WikiSkill (arXiv:2608.27454) for Hermes Agent — self-evolving agent skills via a persistent knowledge wiki. Faithful Algorithm 1 implementation with real agent runs, isolated skill gating, and a documented live run log.
Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams.
Claude Code for Financial Market
The orchestration layer under your coding agent. Turns work into a typed graph, runs one model per node, and takes the verdict from outside the model — exit codes, write-set checks, and a cross-family verifier. MCP server, 50 tools, bring your own models.
The most RAM efficient harness
A provider-agnostic scaffolding kit for running structured multi-agent workflows in your codebase.
Prismer Cloud
Research and scraping agent skeleton: tool loop, loadable skills, fallback chains. No data included, configured via .env.
Coding agent orchestration for engineering teams — shipped as a spec plus a working reference implementation.
Self-hosted agent OS with skills, workflows, MCP, and second brain storage.
Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.
Durable single-Agent Harness for TypeScript: recoverable Threads, context continuity, explicit side effects, and a native TUI.
Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
Protocol-layer harness for DeepSeek: Python witness stack — posterior verification that keeps the protocol honest. dsh doctor --node probes included.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development