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BDFL - Benevolent Delegator for LLMs
Open Source Task Manager for Codex & Claude Code
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.
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 5 upvotes and 3 comments, placing #103 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.
On the analytics side, BDFL - Benevolent Delegator for LLMs competes within Open Source, Developer Tools, Artificial Intelligence, GitHub and OpenAI Day — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how BDFL - Benevolent Delegator for LLMs performed against the three products that launched closest to it on the same day.
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.
For a complete overview of BDFL - Benevolent Delegator for LLMs including community comment highlights and product details, visit the product overview.
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.