Tentra — Memory for AI Coding Agents

Tentra is the persistent memory layer for AI coding agents. Two pillars:

1. Code graph — Index your repo once. Agents query a structured graph of files, symbols, imports, and call edges instead of re-grepping source every session.
2. Architecture workspace — Describe a system in natural language, get an interactive diagram and production-ready code in 14 frameworks.

Why it saves tokens

Dogfood benchmark on the Tentra monorepo:

• 99.4% token reduction (156.8× ratio) across 8 "where is X implemented?" queries
• 114,644 tokens via file re-read → 731 tokens via graph query
• Zero LLM cost on Tentra's infra (agent-as-LLM pattern: your Claude/Cursor/Codex agent does the semantic extraction)
• Zero API key setup on your side

Setup

Option 1: SSE (zero install)

Cursor / Claude Code / Codex / Windsurf — add to your MCP config:

```json { "mcpServers": { "tentra": { "type": "sse", "url": "https://trytentra.com/api/mcp?key=YOUR_API_KEY" } } } ```

Get your API key at https://trytentra.com/settings after a one-click GitHub sign-in.

Option 2: Local (stdio)

```bash npx -y tentra-mcp ```

Authenticates via GitHub on first use. Needed for local codebase scanning.

32 MCP Tools

• Architecture (9): create_architecture, update_architecture, get_architecture, list_architectures, analyze_codebase, lint_architecture, sync_architecture, export_architecture, create_flow
• Code Graph — Write (4): index_code, index_code_continue, record_semantic_node, get_index_job
• Code Graph — Read (10): query_symbols, get_symbol_neighbors, get_service_code_graph, explain_code_path, find_similar_code, record_embedding, list_god_nodes, get_quality_hotspots, list_snapshots, diff_snapshots
• Enrichment (9): set_service_mapping, set_domain_membership, record_contract, bind_contract, record_decision, link_decision, get_ownership, get_decisions_for, get_contracts

Links

• Website: https://trytentra.com
• Docs: https://trytentra.com/docs
• GitHub: https://github.com/rdanieli/archbuilder
• npm: https://www.npmjs.com/package/tentra-mcp

What agents use it for

• "Where is auth handled?" → query_symbols → file paths + line ranges in one call
• "What calls this function?" → get_symbol_neighbors → BFS through the call graph
• "Why was this service split?" → get_decisions_for → linked ADRs
• "Who owns this file?" → get_ownership → team / person
• "Find code similar to this snippet" → find_similar_code → pgvector cosine ANN