One developer, five vertical teams of agents — MCP server team, CommitContext team, SDK team, customer portal team, etc. Before shared memory: they contradicted each other, built incompatible features, rediscovered the same bugs. After: they stay coherent because they can read from the same knowledge base.
CommitContext captures the reasoning behind every commit — decisions, debugging paths, and gotchas — giving your agent the context to investigate issues and connect changes across your codebase.
Build-context delivers a structured briefing — active work, key facts, gotchas, recent activity — before your agent starts. One command, under 60 seconds. No more cold starts.
MemNexus search now follows connections between memories — entities, facts, topics — not just similar words. 90% recall on broad queries, stale results filtered by default.
mx setup auto-detects your AI agents and configures MemNexus across Claude Code, Copilot, Cursor, and more. Built-in MCP bridge, no external binary, no secrets in config files.
Recursive digest synthesis partitions large memory sets into focused groups, synthesizes each at full fidelity, and merges into one comprehensive briefing. Full content fidelity at any scale.
Memory Digest assembles complete project briefings with a single command. Gathers up to 100 memories, expands via topic and entity graphs, and synthesizes with LLM. No more missed context.
Named memories let you assign meaningful names to your most important memories. Updates auto-create versioned chains with full history preserved.
MemNexus now auto-extracts topics, facts, and entities from your memories using LLM analysis. Richer metadata, more retrieval paths, same search speed.
MemNexus CLI v1.7.29 introduces batch memory retrieval: fetch multiple memories in a single API call with piping support from search.
New conversation-based memory retrieval helps developers find work sessions, not just individual memories. Filter by time, group search results by conversation.
Introducing --exclude-topics: the complement to topic filtering that gives you complete control over your memory search results.
Most AI memory is a jumbled pile of everything you've ever said. MemNexus introduces memory versioning and instant recaps to fix the fundamental problems with AI memory.
Timeline Search in MemNexus CLI optimizes memory search for temporal understanding — reconstruct debugging sessions, review decision evolution, and brief teammates in one query.
Most AI memory systems treat each piece of information as an isolated fact. Narrative Reconstruction understands how your knowledge evolves over time.