This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
BDFL is an open-source terminal supervisor for Codex, Claude Code, and Ollama sessions. Work with a planning agent, compare and approve versioned plans or individual sections of it, then let isolated worker agents implement the approved work while BDFL handles scheduling, checks, review, verification, integration, and recovery.
Hi everyone👋 I kept running into this problem, where I would ask an agent for a small change in plan, get a completely rewritten plan back, and then be too tired to read the whole thing again.
I wanted a way to see exactly what changed in the plan, review smaller sections, lock sessions so they don't change upon revision and go back and execute an older version when my latest instructions somehow made everything worse.
I wanted to execute plans in smaller chunks without filling up my main terminal window, make chunks run through subagents that I can still interact with and be able to change direction for particular subagent without restarting the whole workflow
That became BDFL: the open-source delegator, and not the dictator.
You can do everything I mentioned above. It works with @OpenAI Codex CLI, @Claude Code, and also supports @Ollama models. You can plan with one model, execute with another, mix open and closed models, or arrange the workflow however you prefer.
PS: It's OpenAI day, so wanted to launch it today. The workflow is still fresh. Feedback, bug reports, ideas, stars, and contributions would mean a lot.
Saw this on X earlier and came straight here. Approving small plan sections instead of rereading one giant rewritten plan is exactly the pain. Congrats on shipping this for launch day! Curious, what made you pick the name BDFL?
About BDFL - Benevolent Delegator for LLMs on Product Hunt
“Open Source Task Manager for Codex & Claude Code”
BDFL - Benevolent Delegator for LLMs was submitted on Product Hunt and earned 6 upvotes and 3 comments, placing #102 on the daily leaderboard. BDFL is an open-source terminal supervisor for Codex, Claude Code, and Ollama sessions. Work with a planning agent, compare and approve versioned plans or individual sections of it, then let isolated worker agents implement the approved work while BDFL handles scheduling, checks, review, verification, integration, and recovery.
BDFL - Benevolent Delegator for LLMs was featured in Open Source (68.6k followers), Developer Tools (516.3k followers), Artificial Intelligence (474.4k followers), GitHub (41.3k followers) and OpenAI Day (9 followers) on Product Hunt. Together, these topics include over 225.8k products, making this a competitive space to launch in.
Who hunted BDFL - Benevolent Delegator for LLMs?
BDFL - Benevolent Delegator for LLMs was hunted by Nishant Hada. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how BDFL - Benevolent Delegator for LLMs stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Nishant Hada
Hi everyone👋 I kept running into this problem, where I would ask an agent for a small change in plan, get a completely rewritten plan back, and then be too tired to read the whole thing again.
I wanted a way to see exactly what changed in the plan, review smaller sections, lock sessions so they don't change upon revision and go back and execute an older version when my latest instructions somehow made everything worse.
I wanted to execute plans in smaller chunks without filling up my main terminal window, make chunks run through subagents that I can still interact with and be able to change direction for particular subagent without restarting the whole workflow
That became BDFL: the open-source delegator, and not the dictator.
You can do everything I mentioned above. It works with @OpenAI Codex CLI, @Claude Code, and also supports @Ollama models. You can plan with one model, execute with another, mix open and closed models, or arrange the workflow however you prefer.
PS: It's OpenAI day, so wanted to launch it today. The workflow is still fresh. Feedback, bug reports, ideas, stars, and contributions would mean a lot.