squeez logo
squeez
★ 219
vs
agent-shadow-brain logo
agent-shadow-brain
★ 38

squeez vs agent-shadow-brain

squeez: squeez is an end-to-end token optimizer for AI CLIs that compresses bash output up to 95%, collapses redundant calls, and injects a terse prompt persona. It registers hooks automatically with zero new runtime dependencies, supporting multiple AI CLI hosts like Claude Code, GitHub Copilot CLI, OpenCode, Gemini CLI, and Codex CLI.; agent-shadow-brain: Shadow Brain is the first open-source shared memory and context system for AI coding agents. It allows multiple agents and sub-agents to share a common brain, with features like causal memory chains, dream engine, reputation ledger, and more. It works with 10+ agents and is free and local-first.

01

TL;DR

squeez logo
squeezCode Assistant · ★ 219

Reduce token costs for AI CLI interactions, saving up to 92% on monthly API bills.

agent-shadow-brain logo
agent-shadow-brainCode Assistant · ★ 38

Eliminate cold starts: every new agent session gets a 2K-token briefing from past knowledge

02

Side-by-Side Comparison

Field
squeez logosqueez
agent-shadow-brain logoagent-shadow-brain
Category
Code Assistant
Code Assistant
Stars
★ 219
★ 38
License
Apache-2.0
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/claudioemmanuel/squeez/main/install.sh | sh
npx @theihtisham/agent-shadow-brain@latest attach-all
Updated
4d ago
4mo ago
Open Source
Yes
Yes
Tags
ai-cli, bash-hook, claude-code
ai, causal-chains, claude-code
03

Features

squeez logosqueez
01Bash compression: Intercepts every command via PreToolUse hook and applies smart filter, dedup, grouping, and truncation for up to 95% reduction.
02Context engine: Cross-call redundancy detection using exact hash (FNV-1a) and fuzzy trigram-shingle Jaccard comparison (≥0.85 threshold).
03Summarize fallback: Outputs exceeding 500 lines are replaced with a ≤40-line dense summary; benign outputs have doubled threshold.
04Adaptive intensity: Scales compression limits based on session budget usage (Full below 80%, Ultra above).
05MCP server: Runs a JSON-RPC 2.0 server over stdio exposing 13 read-only tools for LLM interaction.
agent-shadow-brain logoagent-shadow-brain
01Sub-Agent Brain Bridge (SABB) – sync brain context into sub-agents
02Causal Memory Chains – traceable decision DAG with Graphviz export
03Dream Engine – idle-time reflection with counterfactual analysis
04Swarm Debate Protocol – pro/con/arbiter sub-agents for critical decisions
05Agent Reputation Ledger – Ed25519-signed receipts and accuracy scores
04

Use Cases

squeez logosqueez
↳Reduce token costs for AI CLI interactions, saving up to 92% on monthly API bills.
↳Compress verbose command outputs (e.g., git logs, build errors, Docker logs) to stay within context limits.
↳Optimize multi-turn sessions by eliminating redundant information and providing structured memory summaries.
agent-shadow-brain logoagent-shadow-brain
↳Eliminate cold starts: every new agent session gets a 2K-token briefing from past knowledge
↳Cross-agent context sharing: what one agent learns, all agents inherit
↳Traceability and trust: every AI decision is signed and causally linked
FAQ

FAQ

What is the difference between squeez and agent-shadow-brain?
Both squeez and agent-shadow-brain are in the Code Assistant category. squeez has 219 stars, while agent-shadow-brain has 38 stars.
Which is better, squeez or agent-shadow-brain?
The best choice depends on your use case. Choose squeez if Reduce token costs for AI CLI interactions, saving up to 92% on monthly API bills., and agent-shadow-brain if Eliminate cold starts: every new agent session gets a 2K-token briefing from past knowledge.
Is squeez free or open source?
Yes, squeez is open source on GitHub (Apache-2.0).
Is agent-shadow-brain free or open source?
Yes, agent-shadow-brain is open source on GitHub (MIT).
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