lithtrix/lithtrix-mcp
by Various
Memory Consolidation for AI agents across vendors, owners, and time. Persistent memory, credibility-scored web search, browser fetch, and a shared Commons pool — all under a stable
MCP
lithtrix/lithtrix-mcp
Added 1 June 2026
Overview
Memory consolidation for AI agents across vendors, owners, and time. Provides persistent memory, credibility-scored web search, browser fetch, and a shared Commons pool. Uses a stable ltx key that survives tool switches, session resets, and orchestrator changes.
Best for
Best for
Developers building multi-agent systems that need persistent, cross-session memory
Use cases
- Persist agent memory across sessions and tool switches
- Search the web with credibility scoring for agent context
- Share a common memory pool among multiple agents
Notes
Memory consolidation for AI agents across vendors, owners, and time. Provides persistent memory, credibility-scored web search, browser fetch, and a shared Commons pool. Uses a stable ltx key that survives tool switches, session resets, and orchestrator changes.
0 stars on GitHub. Last updated 2026-05-13.
Use cases
- Persist agent memory across sessions and tool switches
- Search the web with credibility scoring for agent context
- Share a common memory pool among multiple agents
Pros
- Persistent memory that survives session resets and orchestrator changes
- Shared Commons pool enables multi-agent collaboration
- Credibility-scored web search reduces irrelevant results
Cons
- Zero stars on GitHub indicates very early stage with minimal community validation
- Requires Node.js runtime and npx setup
- Credibility scoring mechanism is not publicly documented
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Persistent memory that survives session resets and orchestrator changes
- Shared Commons pool enables multi-agent collaboration
- Credibility-scored web search reduces irrelevant results
Cons
- Zero stars on GitHub indicates very early stage with minimal community validation
- Requires Node.js runtime and npx setup
- Credibility scoring mechanism is not publicly documented
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