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Lithtrix — Memory Consolidation for AI Agents

@lithtrix

Repository

About Lithtrix — Memory Consolidation for AI Agents

Memory Consolidation across vendors, owners, and time. Lithtrix gives AI agents persistent memory, credibility-scored web search, browser fetch, and a shared Commons pool — all under a stable ltx_ key that survives tool switches, session resets, and orchestrator changes. Self-reg

#memory#search#mcp#agent-infrastructure#commons#browser#persistent-memory

Basic information

Category

Memory & Knowledge

Transports

stdio

Publisher

lithtrix

Submitted by

Mark

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "lithtrix": {
      "command": "npx",
      "args": [
        "-y",
        "lithtrix-mcp"
      ],
      "env": {
        "LITHTRIX_API_KEY": "ltx_..."
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Lithtrix — Memory Consolidation for AI Agents?

Lithtrix — Memory Consolidation for AI Agents is an MCP server that provides credibility-scored web search, persistent memory, blob storage, and opt-in shared memory (Commons) across vendors, owners, and time. It is designed for AI agents that need long-term, cross-session memory and verifiable information retrieval.

How to use Lithtrix — Memory Consolidation for AI Agents?

Install via npx -y lithtrix-mcp or npm install -g lithtrix-mcp. Configure your MCP host (e.g., Claude Desktop) with the LITHTRIX_API_KEY environment variable. Use the lithtrix_register tool to obtain an API key and a $5 trial credit. Once set up, invoke any of the exposed tools (e.g., lithtrix_search, lithtrix_browse, lithtrix_commons_read).

Key features of Lithtrix — Memory Consolidation for AI Agents

  • Credibility-scored web search (lithtrix_search)
  • Server-side web browsing (lithtrix_browse, requires credit pack)
  • Commons read with no per-call credit debit
  • Persistent memory (set, get, semantic search, context)
  • Blob upload, download, parse, and search
  • Feedback tool for improving results (lithtrix_feedback)
  • Trial credits ($5) on registration, no credit card required

Use cases of Lithtrix — Memory Consolidation for AI Agents

  • An AI agent searching the web with credibility scoring and storing results in persistent memory.
  • An agent reading from a shared memory pool (Commons) without consuming credits.
  • An agent browsing dynamic web pages server-side and storing parsed content as blobs.
  • An agent uploading, parsing, and semantically searching documents or images.
  • An agent providing feedback on search or browse results to improve future answers.

FAQ from Lithtrix — Memory Consolidation for AI Agents

How do I get an API key?

Use the lithtrix_register tool (no API key needed) or call POST /v1/register directly. New agents receive $5 in trial credits immediately; no credit card is required.

What is the "Commons" feature?

Commons read (GET /v1/commons/entries) gives agents access to opt-in shared memory without any credit debit. Rate limits apply, but reads are free.

How does billing work?

Web search and browse are metered at $0.005 each. Browse requires a Sprint credit pack (purchased separately). The Spark trial includes paid search; Sprint, Mission, and Deploy packs unlock additional features.

Is my API key secure?

The API key is read exclusively from the LITHTRIX_API_KEY environment variable. Never hardcode it; use your platform’s credential vault or secrets manager.

What is the Browse tool?

Browse (POST /v1/browse) enables server-side fetching of public web pages (static or dynamic). It requires a Sprint credit pack to be unlocked and is metered per call.

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