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Engram - MCP Server for AI Dev Agents
Stop burning tokens. Make your agents up to 6x faster.
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.
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!
About Engram - MCP Server for AI Dev Agents on Product Hunt
“Stop burning tokens. Make your agents up to 6x faster.”
Engram - MCP Server for AI Dev Agents was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #102 on the daily leaderboard. 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.
On the analytics side, Engram - MCP Server for AI Dev Agents competes within Developer Tools, Artificial Intelligence and Vibe coding — topics that collectively have 979.5k followers on Product Hunt. The dashboard above tracks how Engram - MCP Server for AI Dev Agents performed against the three products that launched closest to it on the same day.
Who hunted Engram - MCP Server for AI Dev Agents?
Engram - MCP Server for AI Dev Agents was hunted by Kabir Tiwari. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Engram - MCP Server for AI Dev Agents including community comment highlights and product details, visit the product overview.
Kabir Tiwari