Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/docxology/codomyrmex/paigit clone --depth 1 https://github.com/docxology/codomyrmexWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00606 |
| Opus 5 | $0.00000 | $0.00303 |
| Sonnet 5 | $0.00000 | $0.00121 |
| Haiku 4.5 | $0.00000 | $0.00061 |
Grade A, and why
PAI scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Documentation — Personal AI Infrastructure
Version: v1.3.0 | Status: Active | Last Updated: March 2026
Overview
PAI agents operating within the Codomyrmex ecosystem integrate through the agent documentation here. This directory governs 40 agent packages spanning CLI-based, API-based, core infrastructure, infrastructure, and specialized modules.
AI Capabilities
- Behavioral guidelines — Core operating rules for all AI agents (see
rules/) - Coordination patterns — How agent packages collaborate within and across modules
- Quality enforcement — Zero-Mock policy and functional integrity across all agent integrations
- Multi-agent orchestration — Pooling, load balancing, and mission control
Agent-PAI Integration Points
| Integration | Agent Module | Purpose |
|---|---|---|
| Dashboard coordination | pai/ | Admin :8787 + PM :8888 dual-interface |
| WebSocket push | pai/ | Real-time updates via :8890 |
| Agent observability | history/ | Audit logs, replay, telemetry |
| Task management | droid/ | Priority queues, cross-agent tasks |
| Memory systems | memory/ | Vector recall, episodic storage |
| Agent pooling | pooling/ | Load balancing, circuit breakers |
Key Agents with PAI Deep Integration
- Hermes — hermes/ — 19 modular docs (gateway, Telegram, launchd, sessions, cron, troubleshooting); skills.md documents unified skill id registry,
.codomyrmex/hermes_skills_profile.yaml, MCPhermes_skills_*, and PAIhermes_external_skillsworkflow steps - Claude — claude/ — Anthropic integration with advanced reasoning
- Gemini — gemini/ — Google CLI with file operations and session management
- Jules — jules/ — Swarm orchestration (113+ concurrent sessions)
- Mission Control — mission_control/ — Multi-agent mission coordination
Related PAI Documentation
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 42 lines · 0 tokens per session scan A 9c5176feef85
PAI is an agent published in the GitHub repository docxology/codomyrmex (11 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 606 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
ai-readiness-reporter
Runs the AgentRC readiness assessment on the current repository and produces a self-contained, static HTML dashboard at reports/index.html. Explains every readiness pillar, the maturity level, and an actionable remediation plan, framed by AgentRC measure → generate → maintain loop. Use when asked to assess, audit…
Custom Agent Foundry
Expert at designing and creating VS Code custom agents with optimal configurations.
Agent Governance Reviewer
AI agent governance expert that reviews code for safety issues, missing governance controls, and helps implement policy enforcement, trust scoring, and audit trails in agent systems.
chat-agents
Build AI-powered chat interfaces with AIChatAgent and useAgentChat. Messages are automatically persisted to SQLite, streams resume on disconnect, and tool calls work across server and client.
webhooks
Receive webhook events from external services and route them to dedicated agent instances. Each webhook source (repository, customer, device) can have its own agent with isolated state, persistent storage, and real-time client connections.
retries
Retry failed operations with exponential backoff and jitter. The Agents SDK provides built-in retry support for scheduled tasks, queued tasks, and a general-purpose this.retry() method for your own code.