Agents Md Python Packages

whileai

Scientific RL and SFT post-training for AI agents: build evals that can fail, simulate situations, judge checked against people, pass@1 with a 95% interval, train with GRPO/SFT/DPO, prove every gain on a held-out set. uv add whileai

zeroproof

Scientific RL and SFT post-training for AI agents: build evals that can fail, simulate situations, judge checked against people, pass@1 with a 95% interval, train with GRPO/SFT/DPO, prove every gain on a held-out set. uv add whileai

ai-rulez

Standards-compliant lifecycle tool for agent knowledge and capabilities: author, generate, bundle, validate, govern, publish.

brigade-cli

Track work, verify results, carry memory, and sync tools across coding agents. Local files, no daemon.

codex-workspace-bootstrap

Preflight AI coding repositories before agents touch code. Detect instruction drift, missing scripts, risky .env files, and repo readiness issues.

gemini-faf-mcp

Persistent Project Context for Google Gemini — IANA-registered .faf format · MCP server + Cloud Run REST API

since-cutoff

Find which APIs of your pinned Python dependencies changed after your coding model's training cutoff, and give the agent short AGENTS.md / CLAUDE.md notes from a static API diff. No model calls, no API key. CLI, MCP server, Claude Code plugin, GitHub Action.

anywhere-agents

One config to rule all your AI agents: portable (every project, every session), effective (curated writing, routing, skills), and safer (destructive-command guard).

epitype

Your agent ignores the rules in CLAUDE.md after a compaction. Epitype makes remembered rules actually govern behavior. Claude Code + Codex hooks, stdlib only, MIT.

schliff

Deterministic quality scorer for AI agent instruction files — 8-dimension scoring with security, multi-format (SKILL.md, CLAUDE.md, .cursorrules, AGENTS.md), anti-gaming detection, zero dependencies

agent-charters

人写给 AI 智能体的书面规约的结构化语料库｜558 份 AGENTS.md，9 类标注，含分类法与已知局限

aqven-llm

Python framework + local Studio for reliable LLM workflows: typed files in your repo, pre-run checks, experiments and evals, MCP server for coding agents

aqven

Python framework + local Studio for reliable LLM workflows: typed files in your repo, pre-run checks, experiments and evals, MCP server for coding agents

repopact

Repository-native operating system for durable work between humans and coding agents: scoped authority, work items, evidence, audits, and project history kept inside the repo.

agent-memory-kit-cli

Local memory, a codebase index, and working discipline for AI coding agents. Zero dependencies, no network, MCP included. Measured, not asserted.

game-of-cards

Agile for age of agents — turn work into durable, inspectable cards that humans and LLMs can collaborate on.

logmind

Branch-aware AI decision logging for development projects — AGENTS.md-canonical, link-integrity CI, skills.sh integration.

gcontext-ai

The framework for building stateful agents. Your agent is a folder of state, served over MCP, used from any runtime.

lorecraft

Checks a repository's agent-facing docs: coding rules, feature docs and agent skills, against declared specs.

agent-config-score

Tamper-resistant regression gate for AI coding-agent instructions—AGENTS.md, CLAUDE.md, Cursor, Copilot, Gemini, and more.

id-protocol

Owner-controlled AI context: reviewed profiles, privacy-filtered exports, semantic diffs, and tested SET/agentsgen handoffs.

koolie

Tool-agnostic governance framework for AI-assisted software development. Shared project rules, human approvals, structured reviews and documented enforcement capabilities — adaptable through AI client packs and project overlays.

agent-collab-treaty

A battle-proven treaty for human-agent collaboration.

agentsgen

Generate, preserve, and verify lean AGENTS.md, RUNBOOK.md, and machine-readable repo context for AI coding agents.