OpenClaw Client Adds Live API Cost Tracking, Spending Caps, and Granular Agent Controls

The OpenClaw Client has received a major update focused on cost control and agent customization. Key additions include live API cost tracking with a circular progress bar displayed next to each agent's name, and strict per-agent spending caps to prevent runaway costs.
Cost Controls & Usage Tracking
- Spending Caps: Define strict budget limits for each agent directly in the UI.
- Live Usage UI: An unobtrusive circular progress bar shows current API usage at a glance, placed right next to the agent's name.
Agent Customization
- Sub-agent Management: Orchestrate, view, and manage child agents from the parent agent's interface.
- Skill Management: Toggle and configure specific skills (tools) per agent on the fly.
- Granular Model Selection: Swap between different models from your provider per agent (e.g., use a cheap model for simple tasks and a more capable model for complex coding).
The update is available now on the GitHub repo. The developer built it to provide a cleaner local UI for agent management.
📖 Read the full source: r/clawdbot
👀 See Also

Baton: A Desktop App for Managing Multiple AI Coding Agents
Baton is a desktop application that helps developers manage multiple AI coding agents across isolated workspaces. It provides real terminal sessions, git worktree isolation, and status monitoring for agents like Claude Code, Codex CLI, OpenCode, and Gemini CLI.

Open-source MCP memory server with knowledge graph and learning features
An open-source MCP server written in Rust provides persistent memory for AI agents with knowledge graph architecture, Hebbian learning, and hybrid search. It's 7.6MB with sub-millisecond latency and works with any MCP-compatible client.

Apideck CLI: A Low-Context Alternative to MCP for AI Agents
Apideck CLI is an AI-agent interface that uses ~80 tokens for its agent prompt instead of tens of thousands for tool schemas, addressing MCP's context window consumption problem. Benchmarks show MCP can cost 4 to 32× more tokens than CLI for identical operations.

Open-source memory system for LLM agents achieves high benchmark scores
A persistent memory system for Claude Code and OpenClaw provides LLM agents with context continuity across sessions, achieving 90.8% on LoCoMo and 89.1% on LongMemEval benchmarks. The adapter-based architecture works with any agent framework.