Agent-Reach vs Memdex — Save your AI conversations. Use them everywhere.: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agent-Reach and Memdex — Save your AI conversations. Use them everywhere. — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
A
Agent-Reach
Agent-Reach
Agent-Reach is a free CLI and library that gives AI agents read and search access to 16 web platforms like Twitter, Reddit, YouTube, and GitHub.
Key features
- Unified Platform Access: Read and search 16 platforms including Twitter/X, Reddit, YouTube, GitHub, Bilibili, and LinkedIn through one interface.
- Zero API Fees: Uses open-source upstream tools so agents browse without paid API keys.
- One-Command Install: pip install agent-reach then 'agent-reach install' wires the tools into the agent.
- Broad Agent Compatibility: Works with Claude Code, Cursor, OpenClaw, Windsurf, Codex, and more.
- Search & Read Modes: Supports both searching for content and reading specific URLs across supported platforms.
Best for
- Market & Social Research: Let an agent gather posts and discussions across Twitter, Reddit, and XiaoHongShu.
- Content Monitoring: Track YouTube, podcasts, and RSS feeds programmatically from within an agent.
- Developer Research: Pull GitHub and forum content into an agent's context for engineering tasks.
- Web Automation: Give a coding assistant the ability to read arbitrary URLs during a task.
Memdex — Save your AI conversations. Use them everywhere.
Memdex
Auto-saves AI conversations across ChatGPT, Claude, and Gemini with local-first storage and searchable reuse.
Key features
- Auto-Save Across Platforms: Continuously captures conversation transcripts from major chat interfaces (ChatGPT, Claude, Gemini) so users don’t lose context across sessions or browser tabs.
- Local-First Storage: Stores all saved conversations on the user’s device (100% local storage) to eliminate vendor lock-in and reduce privacy exposure.
- Searchable Indexing: Builds a keyword/semantic index of saved chats to quickly locate relevant past exchanges, prompts, or project-specific context.
- Context Reuse & Injection: Allows users to bring selected past messages or threads into new chats or agents to preserve continuity and avoid re-telling context.
- Cross-Platform Connectors: Integrates with multiple chat providers through browser-level connectors/extensions to capture and surface memory everywhere the user interacts with an LLM.
- Organization Tools: Lets users tag, group, or filter saved conversations so project-related context can be surfaced rapidly when needed.
- Automatic capture and save of conversations across ChatGPT, Claude, and Gemini
- 100% local storage of conversation data (no cloud persistence)