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AI governance MCP server — policy enforcement, skills, memory, multi-LLM consensus
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AI governance MCP server — policy enforcement, skills, memory, multi-LLM consensus
Security Report
10.0
Low Risk10.0Low RiskValid MCP server (4 strong, 5 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
7 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Path to agence installation root (auto-detected if installed via npm)
Environment variable: AGENCE_ROOT
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-l-agence-agence": {
"env": {
"AGENCE_ROOT": "your-agence-root-here"
},
"args": [
"-y",
"@l-agence/mcp-server-agence"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
l'Agence — Agentic Engineering Co-Environments
Author: Stephane Korning · 2026 · MIT + Commons Clause
Version: v1.0.0 · May 2026
The governance layer for AI coding agents.
Every agent action classified, gated, and cryptographically logged — regardless of which LLM or tool runs it.
The Problem
Your AI coding agents can write code. They can commit, push, delete, refactor.
But who's watching them?
Claude Code has no audit trail. Aider trusts the user. Codex sandboxes everything and hopes for the best. LangChain gives you building blocks but no guardrails.
Agence exists because advisory guardrails aren't guardrails at all. It's the layer that sits between any AI agent and your filesystem and says "not without approval."
What Agence Does
Agence is an agent-agnostic governance stack for software engineering. It doesn't replace your coding agent — it governs, orchestrates, and audits all of them from a single control plane.
Command Gating — Every shell command is classified before execution:
| Tier | Gate | Example |
|---|---|---|
| T0 | Auto-execute | git status, ls, cat |
| T1 | Logged | git add, git commit |
| T2 | Human approval required | git push, git reset |
| T3 | Blocked | rm -rf, chmod 777, kill |
Unknown commands default to T2. Not T0. Fail-closed. The guard runs as a separate process — agents cannot bypass their own policy.
Cryptographic Audit — Every agent decision is logged to a Merkle-chained, append-only ledger. Each entry links to the previous via SHA-256. Tamper with one entry and the chain breaks. Verify with: agence ^ledger verify.
Multi-Agent Orchestration — 18 agents across 4 types (persona, tool, loop, ensemble). Route with @agent syntax. Override models with dot-notation: @ralph.gpt4o. Dispatch to Aider, Claude Code, Copilot, or your own tools — all governed by the same policy.
Peer Consensus — Route any question to 3 independent LLMs and get weighted consensus. Your architecture review shouldn't depend on one model's blind spots.
Session Persistence — Save, resume, and hand off sessions between agents. Full context survives restarts. Automatic tmux capture of stdout/stdin/stderr — no 16KB buffer limits.
Git-Native — No database. No server. State lives in git worktrees and flat files. Knowledge is sharded, gated, and selectively routed — you decide what gets shared.
By the Numbers
| 30,701 | Lines of production code (23.9K TypeScript + 6.8K bash) |
| 751 | Tests with 1,768 assertions across 21 files |
| 279 | Security-specific tests (guard + hardening + SEC regressions) |
| 9 | Red-team cycles completed (SEC-008 through SEC-019) |
| 33+ | Orchestration skills (^fix, ^review, ^hack, ^peers, ^vault...) |
| 18 | Registered agents (10 persona, 5 tool, 1 loop, 2 ensemble) |
| 12 | LLM providers (Anthropic, OpenAI, Azure, Google, Mistral, Groq, Ollama...) |
| 10 | MCP tools + 3 MCP resources (Model Context Protocol server) |
| 3 | Dependencies total (MCP SDK, Bun, Zod) |
| 0 | Databases required |
Who This Is For
- Teams using multiple AI coding agents who need one policy governing all of them
- Enterprises requiring audit trails for AI-generated code changes
- Security-conscious developers who want fail-closed gating, not fail-open trust
- Anyone who's had an AI agent break something and wished there was a layer between the agent and
rm -rf
Who This Is NOT For
- If you want an AI pair programmer → use Aider
- If you want IDE autocomplete → use Continue or Copilot
- If you want to build any kind of agent → use LangChain/LangGraph
- If you want cloud-hosted async tasks → use OpenAI Codex
Agence governs all of the above.
Install
As a git submodule (recommended)
git submodule add https://github.com/l-agence/agence .agence
git submodule update --init --recursive
bash .agence/bin/agence ^init
export PATH="$PWD/.agence/bin:$PATH"
Or: clone directly
git clone https://github.com/l-agence/agence .agence
cd .agence && bun install
./bin/agence ^init
export PATH="$PWD/.agence/bin:$PATH"
Prerequisites
| Tool | Required | Install |
|---|---|---|
bash 4+ | Yes | Built-in on Linux/macOS/WSL |
git 2.30+ | Yes | sudo apt install git |
bun 1.3+ | Yes | bun.sh |
tmux | For swarm | sudo apt install tmux |
jq | For ledger queries | sudo apt install jq |
Windows: Use WSL (Ubuntu recommended).
Quick Start
# Chat with an agent
agence "How should I structure this feature?"
# Route to a specific agent
agence @sonya "Review this auth module"
# Launch an agent shell
agence !ralph # Persona: autonomous iteration
agence !claude # Tool: Claude Code CLI
agence !aider # Tool: aider (code patches)
# Save session (resume later or hand off to another agent)
agence ^save "OAuth2: done token validation, next: refresh flow"
agence ^resume
agence ^handoff @sonya
# Audit trail
agence ^ledger verify # Verify Merkle chain integrity
agence ^audit trail # View full decision history
# Peer consensus (3 independent LLMs)
agence @peers "Should we use Redis or Postgres for session storage?"
# See all commands
agence --help
Architecture
YOUR REPO/
└── .agence/ ← lives here (submodule or clone)
├── bin/ # CLI: agence, aibash, ibash, aido, agentd
├── codex/ # Governance: AIPOLICY.yaml, Laws, Principles, agents/
├── nexus/ # Local state: .ailedger, sessions, faults (gitignored)
├── knowledge/ # Team knowledge: docs, lessons, plans (committed)
│ └── private/ # Private knowledge (gitignored, never shared)
├── organic/ # Swarm coordination: tasks, jobs, workflows
└── lib/ # Core: guard.ts, signal.ts, skill.ts, memory.ts, peers.ts
COGNOS — Four pillars:
| Pillar | Purpose | Location |
|---|---|---|
| CODEX | Immutable governance — Laws, Principles, Rules, AIPOLICY | codex/ |
| KNOWLEDGE | Team-shared docs, lessons, plans — selectively routed via @ symlinks | knowledge/ |
| NEXUS | Local operational state — sessions, ledger, signals | nexus/ (gitignored) |
| ORGANIC | Swarm orchestration — tasks, workflows, matrix scheduling | organic/ |
Runtime: Bun + bash. No Python. No pip. No npm install of untrusted packages in the critical path.
MCP: Agence exposes itself as an MCP server (10 tools, 3 resources) so any MCP-compatible client can use agence's governance layer. Agence also acts as an MCP client — consuming tools from external MCP servers. See MCP.md for integration guide.
Command Reference
| Prefix | Mode | Example | Use When |
|---|---|---|---|
| (none) | Chat | agence "explain this error" | Advice, explanation, Q&A |
^ | Knowledge | agence ^save, agence ^lesson | Shared state, knowledge ops |
~ | Private | agence ~note "idea" | Private notes (never committed) |
+ | Autonomous | agence +refactor-auth | Agent plans & executes a task |
/ | Validated | agence /git-status | Pre-approved safe commands |
! | System | agence !ralph, agence !claude | Launch agents or tools |
@ | Route | agence @sonya "review this" | Send to specific agent |
Agent Roster
| Agent | Type | Best For |
|---|---|---|
@ralph | Loop | Autonomous iteration with backpressure |
@sonya | Persona | Architecture, code review |
@claudia | Persona | Deep reasoning, critical decisions |
@chad | Persona | DevOps, infra, CI/CD |
@aleph | Persona | Red team, security analysis |
@claude | Tool | Claude Code CLI (headless spawn) |
@aider | Tool | Code patches, git diffs |
@pilot | Tool | GitHub Copilot CLI |
@peers | Ensemble | 3-LLM weighted consensus |
@pair | Ensemble | 2-LLM lightweight consensus |
Override models with dot-notation: @ralph.gpt4o, @sonya.opus, @ralph.aider
Governance
Agence uses a 5-tier command policy. The guard runs as a separate process — agents cannot bypass their own policy.
| Tier | Gate | Example |
|---|---|---|
| T0 | Auto-execute | git status, ls, cat |
| T1 | Logged | git add, git commit |
| T2 | Human approval | git push, git reset |
| T3 | Blocked | rm -rf, chmod 777 |
| T4 | Never | Force push main, drop DB |
Unknown commands default to T2. Fail-closed. 120+ rules across git, GitHub CLI, AWS, Terraform, and shell.
All decisions logged to nexus/.ailedger — append-only, Merkle-chained, HMAC-signed.
See SECURITY.md for full security architecture, red-team findings, and disclosure timeline.
Swarm (agentd)
agentd start ralph claude aider # Launch 3 agents in tmux
agentd tangent create fix-auth # Isolated worktree + container
agentd inject fix-auth "run tests" # Send command via socat socket
agentd status # View all agents + tangents
Each tangent gets: isolated git worktree, optional Docker container (--cap-drop ALL, --read-only, --no-new-privileges), socat socket for IPC, tmux pane for observability.
Tests
bun test # Full suite
751 tests, 1,768 assertions, 0 failures across 21 files:
| Suite | Tests | Coverage |
|---|---|---|
guard.test.ts | 132 | Command gate, tier escalation, eval safety |
security-hardening.test.ts | 134 | HMAC, signal forgery, injection prevention, SEC-010→019 regressions |
memory.test.ts | 62 | COGNOS 3-store: retain/recall/cache/forget/promote/distill |
peers-dispatch.test.ts | 53 | Peer consensus, mixed routing |
queue.test.ts | 42 | Work queue, dashboard, GitHub Issues bridge |
runs.test.ts | 35 | SWE run lifecycle, aggregation, outcomes |
vault.test.ts | 20 | Hermetic vault init/sync/push/pull + SEC-019 security |
setup.test.ts | 10 | Interactive wizard, escaping, validation |
mcp-client.test.ts | 10 | MCP client guard-gating, env sanitization |
mcp.test.ts | 10 | MCP tool/resource surface verification |
sequent.test.ts | 12 | Tournament tangents, CLI dispatch |
Documentation
| Doc | What it covers |
|---|---|
| Architecture | End-to-end system design |
| Swarm | agentd, tangents, tmux model |
| Commands | Complete CLI reference |
| Security | TCB, red-team findings, disclosure timeline |
| Tutorial | Getting started walkthrough |
| Setup | Detailed installation guide |
License
MIT + Commons Clause — free to use, modify, and self-host.
Commercial redistribution requires a separate agreement.
See LICENSE.md.
Built by Stephane Korning. Hardened by 5 red-team cycles. Governed by its own CODEX.
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