Open Source Ecosystem

The Agentic Coding FlywheelTL;DR Edition

14 interconnected tools that transform multi-agent AI coding workflows. Each tool makes the others more powerful - the more you use it, the faster it spins. While others argue about agentic coding, we're just over here building as fast as we can.

Ecosystem Tools

16K+

GitHub Stars

Languages

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Why a Flywheel?

A flywheel stores rotational energy - the more you spin it, the easier each push becomes. These tools work the same way. The more you use them, the more valuable the system becomes.

Every agent session generates searchable history (CASS). Past solutions become retrievable memory (CM). Dependencies surface bottlenecks (BV). Agents coordinate without conflicts (Mail). Each piece feeds the others.

The result: I shipped 20,000+ lines of production Go code in a single day with BV. The flywheel keeps spinning faster - my GitHub commits accelerate each week because each tool amplifies the others.

11tools

5.4K+GitHub stars

Active

Hover a tool to see connections · Click to scroll to details

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Core Flywheel Tools(11)

The backbone of multi-agent development: session management, communication, task tracking, static analysis, memory, search, safety guards, multi-repo sync, and automated setup. These tools form a self-reinforcing loop where each makes the others more powerful.

Mail

Core

MCP Agent Mail

1.7K

A mail-like coordination layer for multi-agent workflows. Agents send messages, read threads, and reserve files asynchronously via MCP tools - like Gmail for AI coding agents.

Why It's Useful

Critical for multi-agent setups. When 5+ Claude Code instances work the same codebase, they need to coordinate who's editing what. Agent Mail prevents merge conflicts and builds an audit trail of all agent decisions.

Key Features

Threaded messaging between AI agents
Advisory file reservations
SQLite-backed persistent storage
MCP integration for any compatible agent

Tech Stack

Python 3.14+FastMCPFastAPISQLite

Synergies

BVTask IDs in mail threads link to Beads issues

CMShared context persists across agent sessions via CM

SLBLaunched agents coordinate via mail threads

BV

Core

Beads Viewer

1.2K

A fast terminal UI for viewing and analyzing Beads issues. Applies graph theory (PageRank, betweenness centrality, critical path) to identify which tasks unblock the most other work.

Why It's Useful

Issue tracking is really a dependency graph. BV lets Claude prioritize beads intelligently by computing actual bottlenecks. The --robot-insights flag gives PageRank rankings for what to tackle first.

Key Features

PageRank-based issue prioritization
Critical path analysis
Robot mode for AI agent integration
Interactive TUI with vim keybindings

Tech Stack

GoBubble TeaLip GlossGraph algorithms

Synergies

MailTask updates trigger notifications via Agent Mail

UBSBug scanner findings become blocking issues

CASSSearch prior sessions for task context

CASS

Core

Coding Agent Session Search

446

A unified TUI/CLI search engine that indexes 11+ coding agent formats (Claude Code, Codex, Cursor, Gemini, ChatGPT, Aider, Cline, and more) into a single searchable timeline. Supports BM25 keyword search, ML-powered semantic search, and hybrid RRF fusion.

Why It's Useful

Every AI agent creates fragmented, unsearchable conversation trails. CASS unifies all this institutional knowledge - search 'React hydration fix' and find the exact solution from any agent. Enables agents to learn from their own and each other's past sessions.

Key Features

11 agent formats: Claude Code, Codex, Cursor, Gemini, ChatGPT, Aider, Cline, etc.
Three search modes: lexical, semantic (ML embeddings), hybrid (RRF K=60)
Robot mode: --robot-format json/jsonl/compact/sessions for automation
Self-documenting API: cass --robot-help, cass capabilities --json
Multi-machine search with SSH host discovery and path mapping

Tech Stack

Rust (nightly)TantivyFastEmbedRatatuiRusqlite

Synergies

NTMNTM uses CASS for duplicate detection before broadcasting and context retrieval

CMCM integrates CASS for memory retrieval across sessions

MailAgents query CASS to find prior solutions before asking colleagues via mail

ACFS

Core

Flywheel Setup

One-command bootstrap that transforms a fresh Ubuntu VPS into a fully-configured agentic coding environment with all flywheel tools installed.

Why It's Useful

Setting up a new development environment takes hours. ACFS does it in 30 minutes, installing 30+ tools, three AI agents, and all the flywheel tooling automatically.

Key Features

30-minute zero-to-hero setup
Installs Claude Code, Codex, Gemini CLI
All flywheel tools pre-configured
Step-by-step wizard for beginners

Tech Stack

BashYAML manifestNext.js wizard

Synergies

NTMInstalls and configures NTM

MailSets up Agent Mail MCP server

DCGInstalls DCG safety hooks

UBS

Core

Ultimate Bug Scanner

152

Custom pattern-based bug scanner with 1,000+ detection rules across multiple languages. Catches common bugs, security issues, and code smells before they become problems.

Why It's Useful

Instead of managing dozens of separate linters, UBS provides comprehensive bug detection in a single tool. Its pattern-based approach catches issues that traditional static analyzers miss.

Key Features

1,000+ built-in detection patterns
Consistent JSON output format
Multi-language support
Perfect for pre-commit hooks

Tech Stack

BashPattern matchingJSON output

Synergies

BVBug findings become blocking issues in Beads

SLBPre-flight scans before risky operations

DCG

Core

Destructive Command Guard

349

Intercepts dangerous shell commands (rm -rf, git reset --hard, etc.) before execution. Requires confirmation for destructive operations.

Why It's Useful

AI agents can and will run 'rm -rf /' if they think it solves your problem. DCG is the safety net that catches catastrophic commands before they execute.

Key Features

Intercepts rm -rf, git reset --hard, etc.
SIMD-accelerated pattern matching
Configurable allowlists
Command audit logging

Tech Stack

RustSIMDShell integration

Synergies

SLBWorks alongside SLB for layered command safety

NTMGuards all commands in NTM-managed sessions

RU

Core

Repo Updater

Keeps dozens (or hundreds) of Git repositories in sync with a single command. Clones missing repos, pulls updates, detects conflicts.

Why It's Useful

Managing many repos across machines is painful. 'ru sync' handles everything: cloning what's missing, pulling what's stale, and reporting conflicts with resolution commands.

Key Features

One-command multi-repo sync
Parallel operations
Conflict detection with resolution hints
AI code review integration

Tech Stack

Bash 4.0+Git plumbingGitHub CLI

Synergies

UBSRun bug scans across all synced repos

NTMNTM integration for agent-driven sweeps

CM

Core

CASS Memory System

212

A memory system built on top of CASS. Implements three-layer cognitive architecture: Episodic (experiences), Working (active context), and Procedural (skills and lessons learned).

Why It's Useful

Without persistent memory, every agent session starts from scratch. CM lets agents learn from past sessions - remembering what worked, what failed, and extracting reusable playbook rules for future work.

Key Features

Three memory layers: episodic, working, procedural
MCP integration for any compatible agent
Automatic memory consolidation
Cross-session context persistence

Tech Stack

TypeScriptBunMCP ProtocolSQLite

Synergies

MailConversation summaries from mail threads stored as memories

CASSSemantic search over stored memories

BVTask patterns and solutions remembered

NTM

Core

Named Tmux Manager

133

A tmux session orchestration platform that transforms tmux into a multi-agent command center. Spawn, broadcast to, and coordinate Claude/Codex/Gemini agents across tiled panes with smart routing and real-time monitoring.

Why It's Useful

Enables true multi-agent development at scale. Spawn 10+ AI agents in parallel, broadcast prompts by type/variant/tag, monitor progress via animated dashboard, and coordinate work through integrated Agent Mail and CASS. Sessions survive SSH disconnects.

Key Features

Multi-agent spawn: ntm spawn project --cc=3 --cod=2 --gmi=1
Smart broadcast: filter by type, variant (opus/sonnet), or custom tags
Robot mode API: --robot-status, --robot-send, --robot-snapshot for automation
Animated dashboard with token velocity, health checks, and alert panels
Checkpoint/restore for session state management

Tech Stack

Go 1.25+Bubble TeaCobratmux 3.0+TOML/YAML config

Synergies

MailHuman Overseer messaging, file reservations, and audit trail logging integrated directly into NTM

CASSDuplicate detection before sending, context retrieval from 7+ days of session history

BVDashboard shows ready/blocked beads alongside agent status; --robot-triage for smart dispatch

SLB

Core

Simultaneous Launch Button

Two-person rule CLI for approving dangerous shell commands. Requires a second human or AI reviewer to approve risky operations before execution.

Why It's Useful

AI agents can accidentally run destructive commands. SLB implements a 'two-person rule' where dangerous commands require explicit approval from another party before executing, preventing catastrophic mistakes.

Key Features

Two-person rule enforcement
Command queue with approval workflow
Pattern-based risk detection
SQLite persistence

Tech Stack

GoBubble TeaSQLite

Synergies

NTMProtects NTM-managed sessions from dangerous commands

DCGWorks alongside DCG for layered command safety

MailApproval requests can be sent via Agent Mail

MS

Core

Meta Skill

108

Complete skill management platform: store, search, track effectiveness, package for sharing, and integrate with AI agents via MCP. Skills come from hand-written files, CASS mining, bundles, or guided workflows.

Why It's Useful

AI agents need reusable context to be effective. MS doesn't just store skills—it learns which ones work. Thompson sampling optimizes suggestions over time, security systems (ACIP, DCG) keep content safe, and the MCP server makes skills native to any AI agent.

Key Features

MCP server for native AI agent integration
Thompson sampling optimizes suggestions over time
Multi-layer security (ACIP, DCG, path policy, secrets)
Hybrid search: BM25 + hash embeddings with RRF
Token packing for context budget optimization

Tech Stack

RustSQLiteTantivyGitMCP

Synergies

CASSOne input source for skill extraction (not the only one)

CMSkills and CM memories are complementary knowledge layers

BVGraph analysis via bv for skill dependency insights

Supporting Tools(3)

Extend the ecosystem with GitHub issue sync, archive search, and prompt crafting utilities. These tools enhance the core flywheel for specialized workflows.

GIIL

Get Image from Internet Link

Downloads images from iCloud public share links for use in remote debugging sessions. Converts iCloud URLs to direct image downloads.

Why It's Useful

When debugging remotely via SSH, you can't easily share screenshots. GIIL lets you upload to iCloud, share the link, and the remote machine downloads the image directly for AI agents to analyze.

Key Features

iCloud share link support
CLI-based image download
No browser required
Works over SSH

Tech Stack

BashcurliCloud API

Synergies

MailDownloaded images can be referenced in Agent Mail

CASSImage analysis sessions are searchable

XF

X Archive Search

Ultra-fast search over X/Twitter data archives. Uses hybrid BM25 + semantic search with Reciprocal Rank Fusion.

Why It's Useful

Your X archive is a goldmine of bookmarks, threads, and ideas, but Twitter's search is terrible. XF makes your archive instantly searchable with both keyword and semantic matching.

Key Features

Sub-second search over large archives
Semantic + keyword hybrid search
No external API dependencies
Privacy-preserving local processing

Tech Stack

RustTantivyHash embeddingsRRF

Synergies

CASSSimilar search architecture and patterns

CMFound tweets can become memories

s2p

Source to Prompt TUI

Terminal UI for combining source code files into LLM-ready prompts. Select files, preview output, copy to clipboard with token counting.

Why It's Useful

Crafting prompts with code context is tedious. s2p lets you interactively select files, see the combined output, and track token count, all in a beautiful TUI.

Key Features

Interactive file selection
Real-time token counting
Clipboard integration
Gitignore-aware filtering

Tech Stack

TypeScriptBunReactInktiktoken

Synergies

CASSGenerated prompts can be searched later

CMEffective prompts stored as memories

Get Started

The fastest way to set up the entire flywheel ecosystem is with ACFS. One command, 30 minutes, and you're ready to go.

curl -fsSL https://raw.githubusercontent.com/Dicklesworthstone/agentic_coding_flywheel_setup/main/install.sh | bash -s -- --yes --mode vibe

Or visit agent-flywheel.com for the step-by-step wizard.

Open Source Ecosystem

The Agentic Coding FlywheelTL;DR Edition

Ecosystem Tools

16K+

GitHub Stars

Languages

Scroll to explore

Why a Flywheel?

A flywheel stores rotational energy - the more you spin it, the easier each push becomes. These tools work the same way. The more you use them, the more valuable the system becomes.

The result: I shipped 20,000+ lines of production Go code in a single day with BV. The flywheel keeps spinning faster - my GitHub commits accelerate each week because each tool amplifies the others.

11tools

5.4K+GitHub stars

Active

Hover a tool to see connections · Click to scroll to details

/

Core Flywheel Tools(11)

Mail

Core

MCP Agent Mail

1.7K

A mail-like coordination layer for multi-agent workflows. Agents send messages, read threads, and reserve files asynchronously via MCP tools - like Gmail for AI coding agents.

Why It's Useful

Key Features

Threaded messaging between AI agents
Advisory file reservations
SQLite-backed persistent storage
MCP integration for any compatible agent

Tech Stack

Python 3.14+FastMCPFastAPISQLite

Synergies

BVTask IDs in mail threads link to Beads issues

CMShared context persists across agent sessions via CM

SLBLaunched agents coordinate via mail threads

BV

Core

Beads Viewer

1.2K

A fast terminal UI for viewing and analyzing Beads issues. Applies graph theory (PageRank, betweenness centrality, critical path) to identify which tasks unblock the most other work.

Why It's Useful

Issue tracking is really a dependency graph. BV lets Claude prioritize beads intelligently by computing actual bottlenecks. The --robot-insights flag gives PageRank rankings for what to tackle first.

Key Features

PageRank-based issue prioritization
Critical path analysis
Robot mode for AI agent integration
Interactive TUI with vim keybindings

Tech Stack

GoBubble TeaLip GlossGraph algorithms

Synergies

MailTask updates trigger notifications via Agent Mail

UBSBug scanner findings become blocking issues

CASSSearch prior sessions for task context

CASS

Core

Coding Agent Session Search

446

Why It's Useful

Key Features

11 agent formats: Claude Code, Codex, Cursor, Gemini, ChatGPT, Aider, Cline, etc.
Three search modes: lexical, semantic (ML embeddings), hybrid (RRF K=60)
Robot mode: --robot-format json/jsonl/compact/sessions for automation
Self-documenting API: cass --robot-help, cass capabilities --json
Multi-machine search with SSH host discovery and path mapping

Tech Stack

Rust (nightly)TantivyFastEmbedRatatuiRusqlite

Synergies

NTMNTM uses CASS for duplicate detection before broadcasting and context retrieval

CMCM integrates CASS for memory retrieval across sessions

MailAgents query CASS to find prior solutions before asking colleagues via mail

ACFS

Core

Flywheel Setup

One-command bootstrap that transforms a fresh Ubuntu VPS into a fully-configured agentic coding environment with all flywheel tools installed.

Why It's Useful

Setting up a new development environment takes hours. ACFS does it in 30 minutes, installing 30+ tools, three AI agents, and all the flywheel tooling automatically.

Key Features

30-minute zero-to-hero setup
Installs Claude Code, Codex, Gemini CLI
All flywheel tools pre-configured
Step-by-step wizard for beginners

Tech Stack

BashYAML manifestNext.js wizard

Synergies

NTMInstalls and configures NTM

MailSets up Agent Mail MCP server

DCGInstalls DCG safety hooks

UBS

Core

Ultimate Bug Scanner

152

Custom pattern-based bug scanner with 1,000+ detection rules across multiple languages. Catches common bugs, security issues, and code smells before they become problems.

Why It's Useful

Instead of managing dozens of separate linters, UBS provides comprehensive bug detection in a single tool. Its pattern-based approach catches issues that traditional static analyzers miss.

Key Features

1,000+ built-in detection patterns
Consistent JSON output format
Multi-language support
Perfect for pre-commit hooks

Tech Stack

BashPattern matchingJSON output

Synergies

BVBug findings become blocking issues in Beads

SLBPre-flight scans before risky operations

DCG

Core

Destructive Command Guard

349

Intercepts dangerous shell commands (rm -rf, git reset --hard, etc.) before execution. Requires confirmation for destructive operations.

Why It's Useful

AI agents can and will run 'rm -rf /' if they think it solves your problem. DCG is the safety net that catches catastrophic commands before they execute.

Key Features

Intercepts rm -rf, git reset --hard, etc.
SIMD-accelerated pattern matching
Configurable allowlists
Command audit logging

Tech Stack

RustSIMDShell integration

Synergies

SLBWorks alongside SLB for layered command safety

NTMGuards all commands in NTM-managed sessions

RU

Core

Repo Updater

Keeps dozens (or hundreds) of Git repositories in sync with a single command. Clones missing repos, pulls updates, detects conflicts.

Why It's Useful

Managing many repos across machines is painful. 'ru sync' handles everything: cloning what's missing, pulling what's stale, and reporting conflicts with resolution commands.

Key Features

One-command multi-repo sync
Parallel operations
Conflict detection with resolution hints
AI code review integration

Tech Stack

Bash 4.0+Git plumbingGitHub CLI

Synergies

UBSRun bug scans across all synced repos

NTMNTM integration for agent-driven sweeps

CM

Core

CASS Memory System

212

A memory system built on top of CASS. Implements three-layer cognitive architecture: Episodic (experiences), Working (active context), and Procedural (skills and lessons learned).

Why It's Useful

Key Features

Three memory layers: episodic, working, procedural
MCP integration for any compatible agent
Automatic memory consolidation
Cross-session context persistence

Tech Stack

TypeScriptBunMCP ProtocolSQLite

Synergies

MailConversation summaries from mail threads stored as memories

CASSSemantic search over stored memories

BVTask patterns and solutions remembered

NTM

Core

Named Tmux Manager

133

Why It's Useful

Key Features

Multi-agent spawn: ntm spawn project --cc=3 --cod=2 --gmi=1
Smart broadcast: filter by type, variant (opus/sonnet), or custom tags
Robot mode API: --robot-status, --robot-send, --robot-snapshot for automation
Animated dashboard with token velocity, health checks, and alert panels
Checkpoint/restore for session state management

Tech Stack

Go 1.25+Bubble TeaCobratmux 3.0+TOML/YAML config

Synergies

MailHuman Overseer messaging, file reservations, and audit trail logging integrated directly into NTM

CASSDuplicate detection before sending, context retrieval from 7+ days of session history

BVDashboard shows ready/blocked beads alongside agent status; --robot-triage for smart dispatch

SLB

Core

Simultaneous Launch Button

Two-person rule CLI for approving dangerous shell commands. Requires a second human or AI reviewer to approve risky operations before execution.

Why It's Useful

Key Features

Two-person rule enforcement
Command queue with approval workflow
Pattern-based risk detection
SQLite persistence

Tech Stack

GoBubble TeaSQLite

Synergies

NTMProtects NTM-managed sessions from dangerous commands

DCGWorks alongside DCG for layered command safety

MailApproval requests can be sent via Agent Mail

MS

Core

Meta Skill

108

Why It's Useful

Key Features

MCP server for native AI agent integration
Thompson sampling optimizes suggestions over time
Multi-layer security (ACIP, DCG, path policy, secrets)
Hybrid search: BM25 + hash embeddings with RRF
Token packing for context budget optimization

Tech Stack

RustSQLiteTantivyGitMCP

Synergies

CASSOne input source for skill extraction (not the only one)

CMSkills and CM memories are complementary knowledge layers

BVGraph analysis via bv for skill dependency insights

Supporting Tools(3)

Extend the ecosystem with GitHub issue sync, archive search, and prompt crafting utilities. These tools enhance the core flywheel for specialized workflows.

GIIL

Get Image from Internet Link

Downloads images from iCloud public share links for use in remote debugging sessions. Converts iCloud URLs to direct image downloads.

Why It's Useful

When debugging remotely via SSH, you can't easily share screenshots. GIIL lets you upload to iCloud, share the link, and the remote machine downloads the image directly for AI agents to analyze.

Key Features

iCloud share link support
CLI-based image download
No browser required
Works over SSH

Tech Stack

BashcurliCloud API

Synergies

MailDownloaded images can be referenced in Agent Mail

CASSImage analysis sessions are searchable

XF

X Archive Search

Ultra-fast search over X/Twitter data archives. Uses hybrid BM25 + semantic search with Reciprocal Rank Fusion.

Why It's Useful

Your X archive is a goldmine of bookmarks, threads, and ideas, but Twitter's search is terrible. XF makes your archive instantly searchable with both keyword and semantic matching.

Key Features

Sub-second search over large archives
Semantic + keyword hybrid search
No external API dependencies
Privacy-preserving local processing

Tech Stack

RustTantivyHash embeddingsRRF

Synergies

CASSSimilar search architecture and patterns

CMFound tweets can become memories

s2p

Source to Prompt TUI

Terminal UI for combining source code files into LLM-ready prompts. Select files, preview output, copy to clipboard with token counting.

Why It's Useful

Crafting prompts with code context is tedious. s2p lets you interactively select files, see the combined output, and track token count, all in a beautiful TUI.

Key Features

Interactive file selection
Real-time token counting
Clipboard integration
Gitignore-aware filtering

Tech Stack

TypeScriptBunReactInktiktoken

Synergies

CASSGenerated prompts can be searched later

CMEffective prompts stored as memories

Get Started

The fastest way to set up the entire flywheel ecosystem is with ACFS. One command, 30 minutes, and you're ready to go.

curl -fsSL https://raw.githubusercontent.com/Dicklesworthstone/agentic_coding_flywheel_setup/main/install.sh | bash -s -- --yes --mode vibe

Or visit agent-flywheel.com for the step-by-step wizard.