llm-gateway/OPEN_SOURCE_FEATURE_MATRIX.md

2.7 KiB

Open Source Feature Matrix

Legend

  • ready: exists and is usable with cleanup
  • partial: exists but needs extraction/hardening
  • missing: must be built
Feature Current OSS Target Priority
Fastify gateway ready keep P0
Client SDK ready keep + docs P0
Health checks ready keep + doctor P0
Dashboard partial topology-first app P1
Ollama routing ready generic local provider P0
LM Studio detection missing discovery provider P0
LocalAI/llama.cpp/vLLM detection missing discovery provider P0
Hosted provider registry partial provider adapters + consent P0
OpenAI-compatible API partial first-class adapter P0
MCP server missing first-class P0
Claude Code integration partial MCP + bridge P0
Codex integration partial MCP + LSP P0
ChatGPT integration missing exports/import + adapter docs P1
Cursor/VS Code integration missing safe config writer P1
n8n integration missing workflow pack P1
Trust Router missing core P0
Policy Engine missing provider/model/tool constraints P0
Provider Router partial final route + fallback decision P0
Context Receipt missing core P0
Shared Gitea Memory missing core P0
Route Reflector Memory missing routing memory P0
AI Handoff Protocol partial core P0
Consent Ledger missing core P0
Setup Doctor missing CLI + UI P0
Safe Config Writer missing CLI + UI P0
Offline Mode missing policy mode P0
Simulation Mode missing dry-run routing decisions P0
Compression/token saving partial first-class engine P1
Semantic cache missing optional P1
Capability Benchmark Lab missing routing input P1
Agent Reputation Score missing routing input P1
Reproducible Runs missing audit/eval P1
Integration Marketplace missing local catalog P1
Data connectors missing scoped connectors P1
Team Mode missing RBAC/admin P2
Prompt/agent versioning partial Git-backed P2
Import wizard missing guided migration P2

Public Positioning

Do not position this as another LiteLLM clone.

Positioning:

Adaptive LLM Gateway discovers your local and hosted AI stack, connects it through a secure MCP and OpenAI-compatible control plane, and gives every agent shared memory, policy, receipts, compression, and routing.

Core differentiators:

  • AI environment discovery
  • Trust Router
  • Context Receipts
  • Shared Git/Gitea Memory
  • AI Handoff Protocol
  • Consent Ledger
  • Reproducible AI Runs
  • model and agent benchmark learning