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.