Engram - MCP Server for AI Dev Agents
Stop burning tokens. Make your agents up to 6x faster.
Engram - MCP Server for AI Dev Agents launched on April 27, 2026 with 3 votes, #2,709 of 21,248 launches that month and more than 50% of that year's launches.
What it does
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.
Dash is the context layer between your agents and your codebase. It indexes your repo, filters the noise, compresses what is left, and routes smarter — so a scaffolded model out-ships a careless one.
Everyone’s waiting on a better model. A scaffolded weak one already beats a careless strong one. Dash indexes your repo, strips the noise, and gives your agent only what matters. Same weights. Same question. Wildly different answers — because one run got a curated window and the other got a junk drawer. Dash is the difference between the two. A frontier model reading forty irrelevant files loses to a small one reading the right three. Dash decides which three. Accuracy degrades as the window fills. Cutting tokens isn’t a billing optimisation. It’s an accuracy one. Caching, filters, compression, routing. Each is worth 40–90% alone. Stacked in order, they’re worth 85% of your bill. We ran a…from engram-three.vercel.app
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