#3535th of 80 in Agent platforms

raven

Host agent that orchestrates built-in and third-party agents in shared workflows

Stars
6.2k
License
Apache-2.0
Last commit
Nov 2026
Last release
Nov 2026
Language
Python
Stars, last 25 weeks+6,149
19 May 2026: 7 stars26 May 2026: 7 stars2 Jun 2026: 7 stars9 Jun 2026: 7 stars16 Jun 2026: 7 stars23 Jun 2026: 7 stars30 Jun 2026: 23 stars7 Jul 2026: 968 stars14 Jul 2026: 1,698 stars21 Jul 2026: 2,218 stars28 Jul 2026: 2,963 stars4 Aug 2026: 3,308 stars11 Aug 2026: 3,378 stars18 Aug 2026: 3,506 stars25 Aug 2026: 3,581 stars1 Sept 2026: 3,664 stars8 Sept 2026: 3,741 stars15 Sept 2026: 3,835 stars22 Sept 2026: 4,001 stars29 Sept 2026: 4,824 stars6 Oct 2026: 5,209 stars13 Oct 2026: 5,401 stars20 Oct 2026: 5,504 stars27 Oct 2026: 5,861 stars3 Nov 2026: 6,011 stars10 Nov 2026: 6,156 stars

7 on 19 May 20266,156 on 10 Nov 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

Raven is a Python host agent that generates task DAGs and delegates work to four built-in agents (Research, Code, Design, Oncall) or to third-party agents connected over ACP, CLI or OpenAI-compatible APIs. It uses EverOS for memory across sessions, and an experimental Curator rewrites agent strategy modules. A trajectory view shows multi-agent runs as a timeline.

Who it is for: Engineers orchestrating several coding and research agents in one workflow

Strengths

  • Presets for 13 third-party agents (Claude Code, Codex, OpenCode, Hermes and others)
  • Four built-in agents: research, coding, visual design, unattended long-running workflows
  • Trajectory view shows every agent, turn and step of a run on one timeline
  • Agent loop split into memory, planning, capability and action modules

Weaknesses

  • Curator self-improvement is experimental and ships with the repo, not the package
  • Benchmark claims are self-reported and shown only as images
  • Memory relies on the separate EverOS project
  • Install is a curl-pipe-to-bash script; hardware needs are not listed

What it needs

  • Docker + Compose
  • Needs EverOS
  • Models: OpenAI-compatible APIs, ACP agents, CLI agents

Quick answers

Is raven open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

Can you run raven with Docker?

Yes. Its repository has a Docker setup: a Dockerfile, a Compose file or a published image.

Also in Agent platforms

See all 80
Also in Agent platforms
RankProjectScore
1AutoGPTRole-based AI agents coordinated by one lead agent, plus a visual workflow builder Live demo ↗ (opens in a new tab)188k stars+853 (+0.5%) in 30 dayscustom license95 out of 100
2daily_stock_analysisLLM-driven daily analysis of watchlist stocks across six markets, pushed to chat apps69.9k stars+3,683 (+5.6%) in 30 daysMIT95 out of 100
3LangflowVisual builder for AI agents and workflows, exposed as API or MCP server156.5k stars+1,251 (+0.8%) in 30 daysMIT94 out of 100
#4deer-flowAgent harness running sub-agents, memory and sandboxes with pluggable skills85.2k stars+1,752 (+2.1%) in 30 daysMIT93 out of 100
#5DifyVisual builder for LLM workflows, RAG pipelines and agents, with APIs Live demo ↗ (opens in a new tab)161k stars+3,111 (+2.0%) in 30 dayscustom license92 out of 100