OMEGA vs ContextStream
Both are MCP-native memory servers. ContextStream connects your codebase to GitHub, Slack, and Notion. OMEGA takes a different path: zero external dependencies, a full memory lifecycle, and the #1 LongMemEval score.
Codebase indexing vs persistent intelligence. Two valid approaches to MCP memory. Here's where each one fits.
The Key Difference
Memory that learns and forgets
A local-first MCP memory server with a full lifecycle: store, retrieve, forget, evolve, and deduplicate. Zero external dependencies. Runs on your machine with no cloud and no API keys. Adds multi-agent coordination and benchmarked retrieval accuracy.
Codebase and tool indexing
An MCP server that indexes your codebase and integrates with GitHub, Slack, and Notion. Focuses on making existing knowledge sources searchable. Does not offer a full memory lifecycle, coordination primitives, or published accuracy benchmarks.
Full Comparison
Every row verified from public documentation and GitHub repos. Updated March 2026.
Which Should You Use?
Use OMEGA if you…
- ✓Want the most accurate retrieval, with a 95.4% LongMemEval score (#1 overall).
- ✓Need memory that evolves and forgets, not just stores and retrieves.
- ✓Run multiple AI agents that need coordination: file claims, branch guards, deadlock detection.
- ✓Want zero external dependencies. Everything runs locally with no cloud and no API keys.
- ✓Use Claude Code, Cursor, or any MCP-compatible client and need persistent cross-session memory.
Use ContextStream if you…
- ✓Want a memory server that also indexes GitHub, Slack, and Notion, and don't need coordination or benchmarked accuracy.
All data verified March 2026 from official documentation and public GitHub repositories. OMEGA's LongMemEval score uses the standard methodology (Wang et al., ICLR 2025).