Engram Cc
If you've ever restarted a Claude or Cursor session and watched your AI relearn everything from scratch, this is the fix. It captures lifecycle hooks from your coding assistant (prompt submits, tool usage, context compaction warnings), runs a local SLM offline to synthesize what happened, and exposes recall, search, recent, and graph_query tools via MCP. The next session picks up with a hot handoff YAML if you're coming back within 30 minutes, or a cold pointer to semantic retrieval if not. Works across Claude Code, Gemini CLI, VS Code Copilot, Codex, and Cursor. Everything stays project-local in .engram-cc/ with no external API calls for its own memory operations.
- tools
- 4
- transport
- STDIO
- last updated
- Mar 15, 2026
Tools
4 toolsPublic tool metadata for what this MCP can expose to an agent.
recallFull session context: handoff + working memory
Full session context: handoff + working memory
No parameter schema in public metadata yet.
searchFTS5 full-text search over all session events
FTS5 full-text search over all session events
No parameter schema in public metadata yet.
recentMost recent N events, filterable by category
Most recent N events, filterable by category
No parameter schema in public metadata yet.
graph_queryBFS traversal of the knowledge graph
BFS traversal of the knowledge graph
No parameter schema in public metadata yet.
Sponsors
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Engram Context Continuum
Universal AI session memory substrate. One install. Every AI coding assistant. Persistent context across sessions, folder renames, and tool switches.
In neuroscience, an engram is the physical trace a memory leaves in the brain. EngramCC does the same for AI — a local memory substrate that persists what your AI assistant learned, decided, and did, so the next session picks up exactly where the last one left off.
The Problem
Every AI coding session starts from zero. The assistant re-reads files it read yesterday, re-learns conventions it already knows, re-asks questions you already answered. Context compaction silently erases the session mid-work. Switch tools and all memory is gone.
EngramCC solves this at the infrastructure level — not by prompting harder, but by building a persistent memory layer that runs underneath any AI assistant.
Quick Install
npx engram-cc
Details
- Repository
- github.com/morous-dev/engram-context-continuum
- Category
- AI & LLM Tools
- Package
@morous-dev/engram-cc- Transport
- STDIO
- Registry
- MCP registry, active
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