Kodelyth ECC — 71 AI agents, MCP server, token savings

Intent routing v2

Describe your problem in plain words. ECC reads the intent behind the message — the error, the frustration, even a pasted stack trace — and routes to the right one of 71 specialist agents, announcing which took over.

• No agent names to memorize
• 10 priority tiers, 8 confidence dimensions
• Transparent — never routes silently

Super Agent · autonomous

Hand it a whole objective — too big for one pass — and it runs through a tokenless state machine: decompose into a dependency DAG, dispatch independent steps in parallel on their own branches, conflict-check and integrate, then verify. Deterministic, resumable, budget-governed.

• Parallel dispatch, conflict-safe integration
• Resumes after a crash — persists every step
• Budget cap is a hard stop · nothing faked

RTK · input savings

RTK is an auto-installed PreToolUse hook. When your AI runs git status, cargo test, or docker ps, RTK filters the output first — stripping noise, grouping, deduplicating — so only signal reaches the LLM.

• 60–90% fewer input tokens
• 100+ commands supported
• 5.1M tokens saved on the sample ledger (64%)

Terse · output savings

A 4-level dial that compresses what the model writes back — dropping filler while byte-preserving every code block, command, URL, and path. Turn it up on familiar work, off when the prose is the deliverable.

• 40–70% fewer output tokens
• lite / full / ultra / off
• Code stays byte-exact

Codebase graph

An AST knowledge graph across 158 languages via tree-sitter. “Who calls this?” and “what breaks if I change it?” resolve from the graph in one query instead of dozens of file reads.

• ~99% fewer tokens than file-by-file grep
• 158 languages, <1ms queries
• Runs locally, no LLM cost

MCP server

One universal adapter exposes all 71 agents, 196 skills, and your local memory over the Model Context Protocol. It auto-wires into Claude Code, Cursor, Windsurf, Gemini, Codex, and Kiro, and speaks to Claude Desktop, LangGraph, AutoGen, CrewAI, and the OpenAI Agents SDK natively.

• 16 tools · 6 prompts · 389 resources
• Auto-wires 6 IDEs; merge never clobbers
• stdio JSON-RPC · zero telemetry

Interactive CLI

Type kodelythecc alone for an arrow-key menu: open the dashboard, install for another IDE, check RTK / Terse / Codebase status, run a background daemon, or uninstall — with a live update check baked in.

• Zero dependencies, raw-mode TUI
• 24h-cached npm update check
• Health check + full uninstall built in

Devil mode

A dedicated red-team crew that thinks like an attacker. One command fires all eight in parallel to hunt prompt injections, supply-chain vulns, leaked secrets, and backdoors before you ship — not after.

• Prompt injection · jailbreaks · RAG security
• Typosquats · malicious postinstall · lockfile drift
• Leaked keys · backdoors · obfuscated payloads

Memory Core

A local BM25 memory that captures solutions at session end and auto-recalls the relevant one on your next prompt. Memory Core keys it to your git remote so it survives a repo move, redacts secrets before they're ever written, and fuses relevance with recency and outcome when it ranks.

• Survives a repo move — keyed by git remote
• Secret redaction on capture · fused recall
• 100% local · opt-in on-device semantics