AI Coding Agent Token Cost

Claude Code token optimizer: ghost tokens, context compaction, 60% token reduction. token-optimizer, everything-claude-code, claude-token-efficient. OpenClaw compatible.

Token Optimizer Ghost Tokens 60% Reduction

The Token Cost Problem in AI Coding Agents

Every AI coding agent wastes tokens on invisible overhead: system prompts, tool definitions, skills, MCP servers, CLAUDE.md, MEMORY.md. A typical power user loses 30-45% of their context window before writing a single line of code.

token-optimizer — Ghost Token Detector (3 days ago)

"Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay. Each platform gets its own native plugin (Python for Claude Code, TypeScript for OpenClaw). No bridging, no shared runtime, zero cross-platform dependencies." — alexgreensh/token-optimizer on GitHub, 3 days ago

everything-claude-code — Agent Harness Optimization (1 day ago)

"The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond." — affaan-m/everything-claude-code on GitHub, 1 day ago

claude-token-efficient — 60% Context Reduction (2 days ago)

"One CLAUDE.md file. Keeps Claude responses terse. Reduces output verbosity on heavy workflows. Drop-in, no code changes." — drona23/claude-token-efficient on GitHub, 2 days ago

Claude Code Context Buffer: The 33K-45K Token Problem (3 days ago)

"Here's the frustrating truth: Claude Code reserves a chunk of your context window that you can't use. Until recently, that was 45,000 tokens — now it's around 33,000 tokens for a Claude 3.5 Sonnet session." — ClaudeFa.st: Context Buffer Management, 3 days ago

Claude Code Compaction: How Context Compression Works (5 days ago)

"Claude Code takes the entire conversation history, sends it to a separate model call with a prompt like 'compress this into a concise summary' — then replaces the full history with that summary." — okhlopkov.com: Compaction Explained, 5 days ago

Stop Wasting Tokens: Optimize Claude Code Context by 60%

"Context management is not optional — it's the difference between a 200K token session that works and one that degrades halfway through." — Medium: Optimize Claude Code Context by 60%, 2 days ago

Token Optimization Tools Comparison

Tool	Platform	Ghost Tokens	Compaction	Age
★ agent-memory	Any MCP agent	Yes (TTL)	Auto-prune	Stable
token-optimizer	Claude Code, OpenClaw	Yes	Survive	3 days
everything-claude-code	Claude Code, Cursor	—	Optimized	1 day
claude-token-efficient	Claude Code	—	Output terse	2 days

How agent-memory Reduces Token Costs

TTL auto-expiration — stale memory auto-deleted, no token waste on old context
Selective memory — store only what matters, not full conversation history
JSON/SQLite backends — lightweight storage without vector DB overhead
Redis backend — shared memory across sessions without duplication
Offline-first — no cloud API calls for memory operations

# agent-memory: reduce token waste with smart memory
pip install agent-memory

# Run with TTL to auto-expire stale memory
python -m agent_memory.mcp_server \
  --storage json \
  --path ./efficient-memory \
  --ttl 86400

# Your agent now:
# - Remembers only what matters (selective memory)
# - Auto-expires stale entries (no token waste)
# - Runs offline (no cloud API overhead)

agent-memory on GitHub token-optimizer on GitHub

Sources:

• alexgreensh/token-optimizer on GitHub — "Find the ghost tokens. Fix them. Survive compaction." (3 days ago)

• affaan-m/everything-claude-code on GitHub — "Agent harness performance optimization system" (1 day ago)

• drona23/claude-token-efficient on GitHub — "Reduces output verbosity, drop-in no changes" (2 days ago)

• ClaudeFa.st: Context Buffer Management — "33K-45K token reserved overhead" (3 days ago)

• okhlopkov.com: Compaction Explained — "How Claude Code context compression works" (5 days ago)

• Medium: Stop Wasting Tokens — "Context management is not optional" (2 days ago)