It emulates the Claude Code backend locally and adds: – repo indexing + CLAUDE.md summaries – symbol search + cross-file references – git automation (diffs, commit, push policies) – MCP server orchestration (JSON-RPC tools) – prompt caching layer – optional Docker sandboxing – workspace tools for tests, tasks, diffs, file ops

Useful if you're doing LLM/AI engineering in environments where you need: – Databricks as your LLM runtime – private repo access – custom agent tools – auditability and local control

Repo: https://github.com/vishalveerareddy123/Lynkr Docs: https://vishalveerareddy123.github.io/Lynkr

Would love feedback, issues, or feature ideas from folks experimenting with LLM developer workflows.