Harrison Chase#452
We're building this at LangChain
Fleet lets you create and manage a fleet of agents. Each agent specializes in a workflow, e.g. inbox management, blog writing, competitor research, candidate recruiting. These are Deep Agents with custom instructions, skills, tools, subagents, and memory. They continually improve with feedback. You can share them with your coworkers. You can configure them to run on a schedule. You can export their context files should you ever want to host them yourself
I think Fleet strikes a great balance: easy to use and still highly capable
We've put an inordinate amount of thought into the UX patterns that make that possible. For example, I love our 'channels' concept: you can configure your agent's communication channel (e.g. Slack, Teams, email, etc.) so it meets you where you work instead of forcing you into Fleet's UI
It's free to try out so give it a spin and share feedback: http://fleet.langchain.com
I want some kind of LLM workflow tool.
• Ability to manage a set of input files (Markdown or similar), plus other general-purpose context. • With real-time collaboration. (And maybe some concept of snapshots or VCS integration.) • And the ability to create/manage a inference workflows and a stored set of prompts. • Access to general-purpose coding agents (and not just chat models). • Some concept of compiled outputs/inference results (which ideally can be shared externally).
Many projects have this feeling: "there is all this stuff, which I want to process/compute over in this iterated way, with some build artifacts being important/worth saving." GNU Autotools x Notion or something. Is anyone building this?