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Feedlog

FeedLog gives SaaS teams an AI support agent, a shared inbox, and a feedback-to-roadmap loop in one open-source platform they can host themselves. Customers ask questions inside your product through an embeddable widget, and the agent answers from your help center articles, which you mark as approved knowledge before it can use them. When a question needs a person, the conversation moves into a shared inbox with its full context intact, so customers never repeat themselves and your team replies with email notifications keeping the thread alive. The same widget collects bug reports and feature ideas into feedback boards with posts, voting, comments, and status workflows, while similar-feedback detection finds duplicates and merges fragmented requests before they scatter your priorities. Prioritized work becomes a public roadmap showing what is planned, in progress, and completed, and shipped changes close the loop as changelog entries you can draft with AI from your update notes. Guest access, email and password, Google, GitHub, and SSO sign-in options decide how customers identify themselves, and human support guidance routes billing, account, and privacy requests straight to people. An MCP server connects AI assistants to your boards and articles so agents can query and manage feedback in natural language. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Feedlog
Feedlog
Feedlog
Feedlog
Feedlog

Benefits

  • Routine Questions Answer Themselves
  • The AI agent answers recurring product questions from help center articles you approve, handling the repetitive tier of support so founders and engineers stop losing afternoons to the same questions.
  • Handoffs Keep Full Context
  • Conversations that need a human move into a shared inbox with their history attached, and reply email notifications keep customers updated without anyone restating the problem from scratch.
  • Feedback Becomes Product Decisions
  • Boards with voting, comments, and status workflows, plus duplicate detection and merging, turn scattered requests from chat and email into a prioritized list your roadmap can reflect publicly.
  • Shipped Work Closes Loop
  • A public roadmap and changelog show customers what shipped because they asked, with AI-drafted release notes generated from your update notes and the feedback each change resolves.

Features

  • Knowledge-Driven AI Agent
  • The agent answers from help center collections you enable for AI use, backed by PostgreSQL with pgvector embeddings and any OpenAI-compatible model service, including Ollama and LiteLLM.
  • Embeddable Product Widget
  • The @feedlog/widget package drops into your web app with a workspace URL and theme setting, letting customers ask questions, read articles, and submit feedback without leaving your product.
  • Shared Support Inbox
  • Widget conversations, human handoffs, and follow-ups live in one inbox, with configurable support emails and rules that route billing, account, and privacy requests directly to people.
  • Feedback Boards and Roadmap
  • Boards organize bugs, feature requests, and improvements with voting and comments, similar-feedback detection merges duplicates, and the public roadmap publishes planned, in-progress, and completed work.
  • MCP Server Access
  • An MCP server lets Claude, ChatGPT, Claude Code, Codex, and Cursor query and manage feedback, boards, duplicate requests, help articles, and changelogs through natural language.

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