Your Intelligence, Orchestrated. Any Model, Any Agent, Any One.

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AI agent skills for production grade applications

Self-hosted memory service for AI agents that work in teams, written in Rust: layered L0→L3 memory, async LLM distillation, hybrid BM25 + vector recall, and department/team/member isolation. SQLite or Postgres, any OpenAI-compatible LLM.

Process transparency for agentic work.

Frontier model solution tracing, then made the prompting skills so Sonnet, GPT, DeepSeek, GLM, Kimi, ETC models work like that

You.com skills and plugins for web search, content extraction, research, finance, and integration discovery, helping AI agents build with up-to-date web context.

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

跨设备的开源Agent工作台

Test mode for your integrations, built for the way agents build. Local, stateful twins of GitHub, Slack, Stripe, Gmail and Linear, over REST and MCP.

A local AI agent harness in Go that runs 24/7 with auto-built tools, MCP, and Ollama

Stata-MCP: A MCP server for integrating Stata into your agent loop with a safety-first design.

agentop CLI — npm install for the same native binary distributed via install.sh (Linux x86_64 only)

Multiplayer harness that shapes around your work. Agents, apps and workflows your team shares, used from Slack, Telegram, WhatsApp, Teams, Email, Web or your own AI agent.

Audit trail and traceability for AI agents. See what every coding agent did, block risky calls, ask a human for approval, and prove it with signed trust checks.

AOS — A Curated AI AGENT OS. Optimized agent skills and add-ons like memB, OpenWiki, Heimdall Token Saver, and Godmode architectures.

MCP server for Roblox Studio. 35 tools, push-based SSE bridge, two-way script sync with files, editor-safe script edits, one-step undo.

A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.

MCP Server for AI automation of the PlayCanvas Editor

The real-world capability layer for AI agents — domains, email, deploy, media, SEO/GEO. CLI + MCP.

✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self-hosted.

Run coding agents on machines you own. Open-source, self-hostable agent workspace.

Shell and coding agent on mcp clients

Migrate AI conversations between tools — importers and exporters for @kontourai/thread