ReclaimLLM (RCLM) offers zero-code AI session capture for developer workflows. Record CLI coding tools, browser tabs, and proxy calls with file diff session replay, token compression, and enterprise DLP—no SDK instrumentation required.
Langfuse is an open-source LLM engineering platform built for app developers who want to instrument backend code with SDK tracing spans, manage prompts, and run evaluation benchmark suites.ReclaimLLM (RCLM) is a developer control plane built for developer workflow observability. Instead of modifying app code with SDKs, ReclaimLLM hooks into developer tools (Claude Code, Gemini CLI, Cursor, Antigravity, local API proxy, browser tabs) to capture complete sessions with step-by-step file diffs, context window compression (reducing tool-result token waste by up to 40% on repetitive workloads), and enterprise usage governance.
| Dimension | ReclaimLLM (RCLM) | Langfuse |
|---|---|---|
| Instrumentation Requirement | Zero code changes (CLI hooks, local proxy) | Manual Python / TypeScript SDK tracing |
| Coding Agent Support | ✓ Claude Code, Codex, Gemini CLI, Cursor, Antigravity | ✕ Custom OpenTelemetry setup required |
| File Diff Session Replay | ✓ Native file diff capture for agent code edits | ✕ Trace spans only |
| Context Window Compression | ✓ Active read caching, exec compaction, loop detection | ✕ None |
| Enterprise Gateway & Key Rules | ✓ Enterprise gateway with model restrictions & DLP | API keys & organization roles |
| Search & Context Portability | ✓ Hybrid search & session transfer between agents | Trace search in dashboard |
To use Langfuse, developers must install language-specific SDKs, wrap functions in trace decorators, and manually pass span context through backend async functions.
ReclaimLLM runs outside your application code. Install CLI hooks once with rclm-hooks-install or direct requests through rclm-proxy. ReclaimLLM immediately captures developer prompts, tool executions, and file diffs without modifying a single line of your repository.
Developers spending hours with Claude Code, Cursor, or Gemini CLI generate massive context windows and file changes. ReclaimLLM captures these structured sessions and gives developers:
Langfuse is an open-source LLM engineering platform that uses Python/TS SDKs for tracing LLM applications, prompt versioning, and evaluation pipelines. ReclaimLLM (RCLM) is a developer-first AI Control Plane that requires zero SDK instrumentation. ReclaimLLM hooks into developer coding CLI tools (Claude Code, Gemini CLI, Cursor, Antigravity), local proxy, and browser tabs to capture full developer sessions, tool execution logs, file diffs, and provides active context window compression.
No. Unlike Langfuse which requires integrating Python or TypeScript SDK tracing calls into your application code, ReclaimLLM hooks into developer CLI tools directly (rclm-hooks-install) or runs via a local proxy (rclm-proxy). Zero code changes are required.
Yes. ReclaimLLM's native hooks capture structured agent sessions, paired tool inputs and results, and file diffs for every file created or modified during an AI coding session.
Choose Langfuse if you are building an LLM application in Python/TypeScript and specifically need SDK-level trace spans, prompt management, and automated LLM evaluation datasets. Choose ReclaimLLM if you want complete, zero-code visibility into developer AI tool usage across CLI assistants, browser chats, and proxy calls, combined with token compression and enterprise governance.
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