Everything AI Needs To Build Software
Multi-agent teams, model freedom, universal clients, and human control — all in one workspace.
Multi-agent teams, model freedom, universal clients, and human control — all in one workspace.
Capabilities
OpenNest is modular. Use what you need. Add more as you grow.
Run multiple specialized agents — engineer, reviewer, debugger, DevOps, QA, security, research — that collaborate on a single task.
Connect OpenAI, Anthropic, Gemini, Groq, OpenRouter, Ollama, LM Studio, and local LLMs. Assign different models to different agents.
OpenNest picks the best model for each task based on cost, speed, context window, and model strengths. Use local models first when possible.
Connect laptops, servers, containers, and lightweight language clients. Even a single PHP file on shared hosting becomes a tool source.
Native Model Context Protocol support for GitHub, Slack, Notion, Linear, and custom MCP servers — local or remote.
Dangerous actions — deletes, production pushes, migrations, secret changes — require explicit approval. Define rules per project.
Agents automatically gather the right files, issues, commits, docs, logs, and tests before starting work.
Agents remember architecture decisions, coding style, preferences, deployment history, and bug history across sessions.
Use local models first, choose cheaper models, cache repeated requests, reuse context, and batch operations to lower AI spend.
Build reusable pipelines: research, generate PR, run tests, deploy staging, notify Slack, open review — all automated.
Deploy with Docker, Compose, Kubernetes, AWS, Azure, GCP, Cloudflare, Vercel, Railway, Fly.io, DigitalOcean, Render, or self-hosted servers.
Agents run commands, explain errors, fix scripts, monitor processes, test UIs, scrape docs, and automate admin dashboards.
Integrations
No rip-and-replace required.
Commit generation, PR review, branch management, release notes, architecture visualization.
Notifications, mentions, agent updates, and approval requests in your channels.
Link tasks, docs, and issues directly to agent workflows and memory.
Query databases, call REST APIs, inspect logs, and validate responses.