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Agentic Engineering Framework

mcp-dimitrigeelen-agentic-engineering-framework · by DimitriGeelen

Governance framework for AI coding agents — enforces task traceability, structural gates, session continuity, and audit trails for Claude Code, Cursor, and Copilot.

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Install

$ agentstack add mcp-dimitrigeelen-agentic-engineering-framework

Open-source listing — not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

2 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Destructive filesystem operation.
  • high Pipes remote content directly into a shell (remote code execution).

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

> A governance and continuity harness around AI coding agents. Tasks, memory, > blast-radius foresight, value scoring, audit, and cross-agent coordination — > wrapped around any CLI agent you already use. Coordinates, does not execute.

I built this because I recognised a pattern. In 25 years of enterprise IT governance — transition management at Shell, operational readiness for infrastructure programmes — the same structural requirements appear every time a powerful actor operates in a shared environment. Clear direction. Awareness of context. Awareness of resource constraints. Awareness of impact. Capable engaged actors. Remove any one and the system degrades.

The domain changed from human operators to AI coding agents. The principle did not.

The five requirements, one harness

Each requirement is a layer. Each layer has structural mechanisms behind it. This is what each looks like in a terminal.

Clear direction — a task gate that cannot be ignored

Nothing happens without a task. The PreToolUse hook intercepts every file modification and refuses if no active task is set. Real output, captured this session when I tried to run a bash command under a task that still had placeholder acceptance criteria:

BLOCKED: Task T-2274 is a build task with placeholder/missing ACs.

Build tasks require real acceptance criteria before editing source files.
This prevents unscoped building. (G-020: Scope-Aware Task Gate)

To unblock:
  1. Edit the task file: replace [First criterion] with real ACs
  2. Or change to inception:
     bin/fw task update T-2274 --type inception

Attempting to modify:
Policy: G-020 (Pickup message governance bypass prevention)

The gate is not a convention. It is a wall. The agent that wrote those words above is the same agent writing this README — it tripped its own gate, fixed the ACs, and proceeded.

Awareness of context — three layers of memory that survive

A session that does not remember the last session re-debates every decision. Three layers carry knowledge forward:

  • Working memory — what is happening now (.context/working/)
  • Project memory — patterns, decisions, learnings, gaps the project has

accumulated (.context/project/)

  • Episodic memory — condensed histories of every completed task, generated

at completion (.context/episodic/)

$ fw recall "authentication timeout pattern"
Related knowledge:
  L-017: Hooks that block on network IO must be bounded. Auto-handover at … (from T-1277)
  L-367: Background subshell watchdogs (fork-and-sleep timeout pattern) leak … (from T-1687)
  L-412: Filed bugs can be symptoms of an upstream perf/timeout issue …      (from T-1955)
  L-013: Heredoc bodies stripped before pattern matching                     (from T-094)
  L-015: Reduced test_all_nav_routes from 11 routes to 3 …                   (from T-1014)

Matches are returned by meaning, not keyword — none of the surfaced learnings literally say "authentication timeout pattern" but each is a timeout/blocking class the next session can read in 30 seconds.

At session end, fw handover --commit writes a structured handover that the next session reads on start. Compaction recovery via fw resume status works when a session is compressed mid-stream.

Awareness of resource constraints — a budget gate that auto-handovers

Context windows are finite. The budget gate reads the live transcript and escalates: ok at Govern — task gate · Tier 0 · sovereignty · single-gate invariant

Structural enforcement of "nothing happens without a task." Pre-tool hooks fire on every file edit and every Bash invocation. Tier 0 intercepts destructive commands. Sovereignty-bound verbs (approve, decide, close, confirm) refuse to run under an agent and require a human via Watchtower. The MCP server facade preserves the same boundary — external callers shell out through bin/fw rather than re-implement gate logic ("single-gate invariant").

Remember — three-layer memory · handover · resume · semantic recall

Working, project, and episodic memory persist across sessions. fw handover --commit bridges sessions; fw resume status recovers from compaction; fw recall "" searches across learnings, patterns, decisions, and episodics by meaning.

fw context add-decision "Use YAML for configs" --task T-001 \
  --rationale "Human readable, comments supported"
fw context add-learning "Always set connection pool limits" --task T-001
fw decisions      # browse all architectural decisions with rationale
fw learnings      # browse all captured learnings

Map — Component Fabric · blast-radius · drift

A live structural map of every significant file in the project. Each component is a YAML card recording purpose, interfaces, dependson, and dependedby. fw fabric blast-radius HEAD computes downstream impact for the current commit; fw fabric drift detects unregistered or orphaned components.

fw fabric overview            # subsystem summary
fw fabric impact        # full downstream chain
fw fabric register      # add a new component card

The dashboard renders the dependency graph with subsystem filters at /fabric.

Organize — tasks · arcs · inceptions · horizon

Tasks are Markdown files with YAML frontmatter — acceptance criteria, verification commands, decisions, BVP scores. Workflow types: build, test, refactor, decommission, specification, design, inception.

Arcs group related tasks under a single user-observable mechanic (the "headline mechanic"). An arc closes only when a wire-level demo artefact proves the mechanic fires — substrate is not closure. Ten arcs are registered today: dispatch-safety, embeddings-strategy, orchestrator-rethink, project-shape-resilience, arc-grooming, value-prioritisation, watchtower-redesign, inception-review-loop, horizon-axis-hardening, capability-overlay.

Inception is a workflow type for exploring a problem before committing to build. The agent cannot ship build artefacts under an inception task until a human records GO / NO-GO / DEFER with rationale.

Horizon (now / next / later) is the priority field; the handover agent sorts work in progress by it and excludes later from suggestions.

fw work-on "Fix login bug" --type build       # one-step: create + focus + start
fw arc list                                   # ten arcs and their states
fw inception start "Define caching strategy"  # explore before building
fw task update T-XXX --horizon later          # park work without losing it

Measure — BVP · weighted directives · audit · reviewer · metrics

Business Value Points: directive-weighted scores (Σ driverweight × driverscore) over a composite cost (0.6 × blast_radius + 0.3 × tier + 0.1 × effort). The four constitutional directives are the protected drivers (D1 Antifragility, D2 Reliability, D3 Usability, D4 Portability) with weights 9, 7, 5, 3. Projects can add free drivers and arcs can have arc-scoped drivers, both capped to keep the value system explicit rather than sprawling.

fw bvp                           # rank all tasks by directive-weighted value
fw bvp --quadrant hv-lc          # high value, low cost — the actionable list
fw bvp T-XXX                     # per-driver detail for one task

Audit runs 260+ checks across 26 sections (structure, task compliance, git traceability, enforcement, learning capture, episodic completeness, gaps, graduation, fabric integrity, framework-mcp baseline, and more). Cron fires every 30 minutes; the pre-push hook fires on every push.

The Reviewer agent performs decorrelated review — an isolated static scan that flags anti-patterns the producing session cannot catch about itself (mock-only-integration, swallowed-errors, defer-as-hedge, others). fw reviewer T-XXX --dispatch runs the reviewer in a TermLink worker with zero parent-session context cost.

Coordinate — TermLink · bus · dispatch · pickup · MCP server · Watchtower

The framework wraps an external TermLink binary for cross-terminal, cross-host worker sessions. Heavy parallel work runs in isolated processes and survives parent compaction.

fw termlink dispatch --task T-XXX --name  --project /opt/... \
  --prompt-file work.md --timeout 1800
fw bus manifest T-XXX               # what results has the worker posted?
fw bus read T-XXX R-001             # inspect a specific result
fw dispatch send --host dev-server  # SSH-route a bus envelope
fw pickup list                      # discover sibling projects

The Framework MCP server (just shipped) exposes 22 capabilities to external agents (Claude Desktop, MCP-aware editors) — 16 read-only verbs plus 6 agent-authority verbs (state-changing, schema-gated on task_id). Five sovereignty-bound verbs are deliberately never registered because external callers bypass in-process enforcement. All agent-authority MCP tools shell out through bin/fw so the same gates fire.

fw mcp emit-manifest    # write agents/mcp/framework-mcp-manifest.json
fw mcp start            # start the stdio server
fw mcp status           # 22 / gated: 6

Watchtower (Flask + 14 KB of vendored htmx, no build step, no node_modules) is the human-review surface. Task board, BVP rankings, audit reports, fabric graph, approvals queue, gap register, reviewer verdicts. Currently launched manually with fw serve; auto-start at install is the goal of T-1611.

Installation

Hand it to your agent first. The other strategies are there when you need a different shape.

Hand it to your agent (lead)

Paste this verbatim into your agent's chat. The agent runs it; the framework arrives.

Install the Agentic Engineering Framework into this project. Steps:

1. Verify prerequisites:
     bash --version       # need 4.4 or newer
     git --version        # need 2.20 or newer
     python3 --version    # need 3.8 or newer

2. Install the framework globally (one machine, once):
     curl -fsSL https://raw.githubusercontent.com/DimitriGeelen/agentic-engineering-framework/master/install.sh | bash

3. Initialise this project (run inside the project root):
     fw init                  # auto-detects provider; pass --provider claude|cursor|generic to force

4. Surface the dashboard URL (Watchtower does not auto-start today):
     fw serve &               # background the dashboard
     fw watchtower url        # print the URL to open

5. Report back to me:
     - the project path
     - the dashboard URL
     - how many onboarding tasks were created
     - any warnings from `fw doctor`

Then create the first task with `fw work-on "name" --type build` and stop —
the rest is mine to decide.

[ILLUSTRATIVE — this block has not been end-to-end tested against a fresh machine in this session; the first agent or human to run it should capture the real output and confirm or correct it.]

Use this when: you already have Claude Code, Cursor, Aider, or another CLI agent open and want to try AEF on a real project without leaving the editor.

Curl-pipe-bash (single-user)

curl -fsSL https://raw.githubusercontent.com/DimitriGeelen/agentic-engineering-framework/master/install.sh | bash

This clones to ~/.agentic-framework, installs fw-shim to ~/.local/bin/fw (the project-detecting router), links claude-fw, and runs fw doctor.

Use this when: you are installing for yourself and trust the pipe-bash idiom.

Local-clone install

git clone https://github.com/DimitriGeelen/agentic-engineering-framework.git ~/.agentic-framework
bash ~/.agentic-framework/install.sh --local ~/.agentic-framework

Use this when: you want to read the install script before running it, or you are offline.

fw init per-project (after global install)

cd existing-project
fw init                              # auto-detect provider
fw init --provider claude            # or: cursor, generic
fw work-on "First task" --type build

Use this when: every project. This is the per-project verb after the framework is on PATH.

Vendored isolation (no global at all)

fw init copies bin/, lib/, agents/, web/, docs/, FRAMEWORK.md, and the metric helpers into .agentic-framework/ inside your project. The shim at ~/.local/bin/fw walks up from your CWD to find the project-local copy. Each project pins its own framework version.

Use this when: you are working in a shared repo or production project and want predictable version pinning per project.

fw upgrade from inside a consumer

fw upgrade                           # syncs the consumer to the framework's current version
fw upgrade --dry-run                 # preview only

Use this when: routine version uplift. The framework retains backward compatibility on the wire; the upgrade refreshes hooks and vendored scripts.

Recover a legacy consumer (pre-T-2232 vendoring)

fw consumer-recover  [path] --apply [--via {ssh,termlink}]

Use this when: an older consumer was vendored before the durable in-consumer upgrade landed and cannot self-upgrade in place.

CI / GitHub Action

# .github/workflows/audit.yml
- uses: DimitriGeelen/agentic-engineering-framework@v1
  with:
    fail-on-warnings: 'false'        # block PRs only on FAIL; warnings advisory

Use this when: you want CI to gate PRs on fw audit results.

Homebrew (macOS / Linux)

brew install DimitriGeelen/agentic-fw/agentic-fw

Use this when: you prefer brew over curl-pipe-bash.

Prerequisites

The installer checks these:

  • bash 4.4+ — macOS ships 3.2 by default; brew install bash gets a

current version.

  • git 2.20+
  • python3 3.8+ (PyYAML is optional; needed only for fw serve and a

small number of helper scripts).

  • Node.js is optional — recommended for TypeScript hooks; Python is the

fallback.

Maturity — shipped versus evolving

This is alpha software the author uses daily. Some pieces are stable. Some are actively iterating. The maturity table is honest in both directions.

| Capability | Status | |---|---| | Task gate, Tier 0, sovereignty refusals, single-gate invariant | shipped, exercised daily | | Three-layer memory (working/project/episodic), handover, resume | shipped, stable | | Component Fabric, blast-radius, drift | shipped, stable | | Task system, arcs, inceptions, horizon | shipped, stable (10 arcs registered) | | BVP, weighted directives, audit (260+ checks), reviewer | shipped, stable | | TermLink integration, bus, dispatch, pickup | shipped, stable | | Watchtower dashboard | shipped (functional) | | Framework MCP server (read-only + agent-authority facade) | shipped this week (T-2265); 22 tools registered; HM-A demo and Watchtower migration in flight | | Embeddings strategy maturation (arc-002) | working, evolving | | Watchtower auto-start at install (T-1611) | designed, not yet shipped | | Multi-provider validation (Cursor, Aider, Devin) | designed, not validated — Claude Code is the tested provider |

A separate gap worth naming: deep-dive #17 (why-bash-yaml-files.md) flags the bash enforcement layer as the part most needing structured bats coverage. That is a real hole the author is open about.

What this is not

The framework coordinates agents. It does not execute them.

It is not a chatbot, an agent runtime, a multi-app personal assistant, or a multi-agent pipeline. Run OpenClaw for multi-app automation. Run LangGraph for stateful agent orchestration. Run CrewAI for multi-agent pipelines. Run Claude Code, Cursor, Aider, Devin, or any CLI-capable agent as your model runtime. Run this inside the repos those agents touch — so nothing gets committed without traceability and nothing gets destroyed without approval.

The model lives in your agent. The governance lives here.

Self-governing

This framework develops itself under its own governance using Claude Code: 2,239 tasks created, 2,037 completed, 99% commit traceability across the most recent 500 commits, every architectural decision r

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.