Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.

Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70% with just an endpoint change.

What Claude Code is doing between your prompt and its answer, drawn live from the logs it already writes: every model call, every tool, each subagent on its own context window and its own model, and what the session produced. Local and read-only — your session content never leaves the machine.

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence

The design layer for agentic AI — design context, interface checks, and verification for coding agents.

Grov automatically captures the context from your private AI sessions and syncs it to a shared team memory. It auto injects relevant memories across developers and future sessions to save tokens and time spent on tasks.

TAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML

File-based message queue for local agent-to-agent communication (Maildir-style)

Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

Jarvis for your coding agents — the voice layer for Claude Code, Codex, OpenClaw, Hermes & any AI workflow. Your agent speaks; you talk back hands-free.

Privacy Code Scanner and Dataflow Context Engine for AI coding agents

Deploy Your Frontend in a Single Command. Claude Code Skills supported.

Workflow orchestration for AI coding agent swarms, from task to merged PR.

The AI Agent Workforce Platform. Run a hundred AI coding agents across your own machines — schedule, isolate, and steer them all from one console.

High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.

Extended Ralph loop for autonomous AI-driven plan execution

Collective intelligence runtime for AI agents. Knowledge graph + persistent memory.

Superset is an agentic IDE to orchestrate 100+ coding agents in parallel. Run any agent with your own subscription.

Git worktree-based task manager with integrated terminals for CLI coding agents

Your durable workspace across AI agents.

Open-source observability & evaluation platform for AI agents and coding agents. Trace LLMs, tools, prompts, costs & agent workflows with OpenTelemetry.

oly turns long-running and interactive CLI workflows into persistent, supervised sessions for humans and AI agents. Close the terminal, keep the process alive, get notified when input is needed, and jump back in from anywhere.