Kabir Tiwari

Engram - MCP Server for AI Dev Agents - Stop burning tokens. Make your agents up to 6x faster.

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Engram gives AI coding agents a live, queryable, and super-intelligent unified context layer via MCP tools so they stop re-reading files on every task and start writing code immediately. get_context_for_task, get_symbol, blast-radius analysis, call graphs, and 12 more tools. 100% local by default. Works with Claude, Cursor, and any MCP-compatible agent.

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Kabir Tiwari
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I built Engram because I kept watching Claude burn thousands tokens just orienting itself at the start of every session rereading the same files over and over before writing a single line of code. The fix was a persistent graph that lives alongside your codebase. Instead of reading files, the agent calls get_context_for_task and gets exactly the information it needs, every single times. Happy to answer any questions about how the graph works or MCP integration!