Proliferate unifies Claude Code, Codex Proliferate, an open-source, self-hostable AI IDE from YC S25, unifies Claude Code, OpenAI Codex, OpenCode, Cursor, and Grok in a single interface, allowing inter-agent delegation and reusable workflows. The tool, available on GitHub under AGPL-3.0, lets users run multiple agents with native inference paths and human approval gates, with a typical PR workflow running in about 12 minutes. It currently lacks Windows support, requires ~24 GB RAM for three concurrent agents, and has a minimal agent config UI. Proliferate unifies Claude Code, Codex Claude Code /en/tags/claude%20code/ refactor the implementation, and Grok review the PR — all without leaving a single terminal — I stopped paying for three separate subscriptions. That was two weeks ago. I've been running Proliferate on a home server since, and it's the first tool that actually delivers on the "one interface for every agent" promise without feeling like a compromised wrapper. Proliferate GitHub: proliferate-ai/proliferate is an open-source, self-hostable AI IDE from YC S25 that lets you drive Claude Code, OpenAI Codex, OpenCode, Cursor /en/tags/cursor/ , and Grok from the same UI. Each agent keeps its native inference path — Bedrock, Azure, local vLLM, whatever you configure — so you're not locked into a lowest-common-denominator abstraction layer. The AGPL-3.0 license means you can audit, fork, or run it behind your own VPN without asking permission. Inter-agent delegation that works The feature that changed my workflow: a parent agent can spawn subagents and pass context between them. My current loop: 1. Fable my planning agent breaks down a feature spec into discrete tasks 2. Codex implements the core logic with its computer-use tooling 3. OpenCode with a local Qwen2.5-Coder model reviews the diff for style and security issues 4. Claude Code writes the integration tests and updates documentation All four sessions share a persistent workspace. The handoff is explicit — you see each agent's output, approve or reject, then pass the baton. No hidden state, no "trust me bro" black boxes. Example workflow snippet from my code-review pipeline steps: - agent: codex task: "implement user-auth module per SPEC.md" model: gpt-4o - agent: opencode task: "review diff for OWASP top 10 violations" model: qwen2.5-coder:32b approval gate: true - agent: claude-code task: "write integration tests for auth flow" model: claude-3-5-sonnet Workflows = reusable automation, not chat history Workflows are where Proliferate separates from "just another chat UI." You define a chain of agent sessions with human approval gates, document passing, and per-step model selection. I built one for our PR process: spec ingestion → implementation → security review → test generation → changelog draft → final human sign-off. Runs in about 12 minutes end-to-end. The YAML is version-controlled alongside the repo, so the automation evolves with the codebase. Rough edges worth knowing No Windows support yet — Docker on WSL2 works but expect path-mapping friction Agent config UI is minimal — you'll edit JSON for Bedrock/Azure credentials Streaming output occasionally desyncs between the frontend and long-running Codex sessions Resource usage — running three agents concurrently needs ~24 GB RAM on my box The team ships weekly. Rough spots get patched fast. If you're evaluating AI workflow tooling for a team that refuses vendor lock-in, spin up the Docker Compose stack and throw a real task at it. The self-hosted story is genuine — no telemetry, no external calls unless you configure them. Built a shared brain for AI agents after markdown file chaos 1h ago /en/news/7235/ Built a schedule-aware PM copilot that actually respects 1d ago /en/news/7077/ Built a remote control for the AI agents living on my garage 2d ago /en/news/6905/ Does anyone actually care about llms. 3d ago /en/news/6847/ AI is making every side project feel like meaningless slop 3d ago /en/news/6755/ HarnessRouter makes it way easier to switch between Claude Code 4d ago /en/news/6726/ Next Why the current alignment toolkit still leaks — and what → /en/news/7239/