The real catalog of tools for AI agents

Remembers why you approved, edited or rejected your agent's drafts; recalls the closest corrections

RLHF feedback loop for AI agents. Capture signals, promote memories, block mistakes, export DPO.

Agent memory MCP server with provenance tracking, decay-weighted recall, and feedback loops.

Customer feedback for your AI assistant: CSAT, NPS and CES scores, response search, AI themes.

Capture feature requests and bug reports from chat into a searchable, AI-categorized backlog.

Synthesize GitHub Issues, HN and App Store reviews into ranked pain clusters. Pay-per-call x402.

Visual website feedback, screenshots and team discussion for coding assistants. Self-hosted.

Create Feedback Magic widgets — feedback, surveys, changelog, roadmap — from your AI editor.

Review markdown plans before AI agents build. Annotate, gate-check, apply fixes, session handoffs.

The feedback board your AI agents work from: users vote, agents build over MCP. 22 tools.

Buy human image preference comparisons on the Pebbler app with locally controlled USDC payments.

Feedback layer for video. Reviewers talk through feedback; agents read it as structured comments.

Feedback Analyzer Ai MCP Server by MEOK AI Labs

Agent-ready feedback for AI-built apps — read and close UI feedback reports over MCP.

Read your Usero feedback inbox and clusters, file feedback, build forms, and open an AI PR.

Encrypted long-term memory shared across your AI assistants (Claude, ChatGPT, Perplexity).

Persistent semantic memory storage, associative recall, and recent memory index by namespace.

Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.

Persistent business-intelligence memory for AI agents.

An MCP memory server. One memory your agents share — across models, devices and apps.