Amber Protocol
Governed Agent Harness for real engineering systems.
Amber Protocol is the governed execution boundary between AI agents and real
systems. It governs what an agent may see, use, execute, and emit, with whose
approval, and what evidence proves it — in files beside the code, not in chat history.
Amber Protocol 是 AI Agent 与真实系统之间的治理执行边界。


What is Amber ·
Who it is for ·
Journey ·
Install ·
Quick Start ·
Team Replication Charter ·
简体中文
For repositories already using coding agents in real delivery work.
Plans, evidence, decisions, and handoffs stay inspectable beside the code.
Version: 2.0.1 · Status: Stable · Milestones & test status →
What is Amber?
Amber Protocol is a repository-local governance layer for projects that already use coding agents in recurring, real delivery work. The hard part is no longer only producing code. It is preserving enough trustworthy state for the next person or agent to understand what happened, what was approved, what evidence exists, and what should happen next.
Amber makes that state explicit through plans, sessions, evidence, decisions, and handoffs stored beside the code. Its core outcome is Trusted Continuation: another person or agent can enter without the old chat, identify the current state, and take one correct next step.
Amber = the in-repo team replication layer: how a team safely uses AI on this codebase, written as handoff-ready file evidence.
It sits under your existing coding engine and adds governance plus evidence. It is not another agent runtime, and not an org-scale platform.
| In-repo governance and evidence protocol | Org-scale Skill marketplace / plugin store |
| Reviewable plans / gates / approvals / handoffs | Cross-repo gateway or cross-machine control dashboard |
| Local conventions a team can replicate | Always-on scheduler / daemon that runs your project commands |
Layering
| Engine | Edit code, call tools, run models and the agent loop (provided by your chosen coding host) |
| Governance (Amber) | Plans, gates, approvals, doctor/audit, handoff; evidence written as repo files |
| Upper Shell (optional) | Consumes Amber via MCP only; must not rewrite the .amber contract or push the agent loop into Amber core |
Engines do the work; Amber proves what was done, whether it is safe to keep, and how to hand it off.
What Amber will NOT do
These are product boundaries, not TODOs:
- Not a replacement for the coding engine / not a general agent runtime
- No Dynamic Workflow execution, no live subagent dispatch, no automatic execution of your project commands
- No org-scale marketplace, cross-repo gateway, cross-machine dashboard, or always-on scheduler
- No overwrite of existing project docs (
init / wiki only create missing files)
Full boundaries: Team Replication Charter and SPEC.md.
Who it is for
The target environment is a Coding-Agent-Enabled Repository: maintainers already use one or more coding agents for ongoing delivery under human review. A one-off experiment or a repository that merely installed an agent tool does not qualify.
- Primary user — Repository Maintainer: accountable for the repository outcome and continuity.
- Working user — agent-assisted developer: frames and performs bounded delivery work.
- Decision user — reviewer: makes go/no-go decisions from plans, diffs, and evidence.
Why Amber?
AI coding work becomes easier to trust when the workflow leaves inspectable evidence:
- Continue without the old chat: plans, sessions, evidence, and handoffs make state portable across people and agents.
- Review from repository evidence: decisions rest on inspectable artifacts, not a completion claim in a transcript.
- Recover at the right stage: failures and interruptions remain attached to the step that produced them.
- Keep authority explicit: human approvals and governed boundaries are records, not hidden runtime assumptions.
Product journey
Fit -> Adopt -> First trusted continuation -> Deliver -> Recover -> Review / Accept
| J0 · Fit | Decide whether Amber addresses a real continuity or review failure | amber audit | Read-only findings and an explicit adopt/defer decision |
| J1 · Adopt | Add the minimum repository-local surface without overwrites | amber init, amber doctor | A repeatable setup check |
| J2 · First continuation | Prove a fresh context can continue one real task correctly | amber next, amber plan, amber session, amber handoff | A new person or agent acts correctly without reading the old chat |
| J3 · Deliver | Frame, authorize, work, prove, review, and hand off/accept | Agent journey; CLI fallback | Plan, session, command evidence, and checkpoint agree |
| J4 · Recover | Resume after failure, pause, or context loss at the correct stage | amber session, amber next, amber handoff | Failure remains visible and the recovery action is bounded |
| J5 · Review / Accept | Make a go/no-go decision from repository evidence | Plans, gates, evidence, Web Viewer | Review and acceptance can be explained without the transcript |
Feature, bugfix, and refactor routes remain backend policy. Users keep one frontstage model:
Frame -> Authorize -> Work -> Prove -> Review -> Handoff / Accept
Context repair, continuous improvement, team expansion, and high-assurance operations are conditional paths. They do not block the first Trusted Continuation. See the feature matrix and complete journey definitions.
Installation
From npm (Recommended)
npm install -g amber-protocol
amber --version
From source
git clone https://github.com/Bandersnatch0x/amber-protocol.git
cd amber-protocol
npm install
node scripts/amber.js --version
Upgrading to 2.0.0
2.0.0 is a breaking release: three command families that shipped in 1.6.0 — and were
already marked deprecated in its help text — are now removed. Nothing else changed shape:
plans, sessions, gates, approvals, evidence, and handoffs keep their contracts.
amber agent dispatch|review|status | amber harness (the Contract → Run → Event spine); amber governance report |
amber team inspect|install|pin|update|rollback | amber maintenance (scaffold drift, artifact drift); amber doctor |
amber adoption report|list|index|validate|compare|gate|status|bundle|next-actions | amber governance report; the amber-diagnosis-adoption journey skill |
The disposition is recorded, not implied — the removed surfaces and their replacement routes
stay readable from the tool itself:
amber harness legacy --target .
If you pin ^1.6.0, a npm update will not cross into 2.0.0 — that range deliberately stops
short of the break. Move to ^2.0.0 once you are off the removed commands.
Quick Start (about 10 minutes)
Use one real task to test whether Amber creates Trusted Continuation. File generation alone is not activation.
amber audit --target my-project
amber init --target my-project
amber doctor --target my-project
amber next --objective "finish the current API change" --target my-project
amber handoff --target my-project
Now open a fresh agent session or ask another maintainer to inspect the repository without the old chat. Amber is activated only when that new context can explain the current state and take one correct next step.
init and wiki never overwrite existing files. Default help exposes seven fallback verbs: audit, init, doctor, next, plan, handoff, and session. amber --all keeps the expert and compatibility surface available. See the CLI reference.
Expert path (not the homepage main line): read-only continuous-improvement discovery via amber loop recommend — see the loop sections under "What It Won't Do" below.
Command surface
Default amber --help projects seven primary verbs — the whole journey fits in them:
amber audit | Read-only readiness inspection of a repository |
amber init | Install the minimum repository-local surface (never overwrites) |
amber doctor | Validate the Amber setup |
amber next | Deterministic route advice for a stated objective |
amber plan | Scaffold a feature plan |
amber handoff | Produce the portable continuation bundle |
amber session | Inspect or manage the session lifecycle |
Everything else is governance and platform surface, deliberately one flag away in
amber --all:
- Context and knowledge —
wiki, context request|ingest|verify|refresh|stats, memory, knowledge
- Governed records —
artifact, principal, evidence, approval, gate, policy
- Control and assurance —
projection, adapter, maintain, retention, external, breakglass, eval run
- Delivery and reporting —
sync session, governance report, loop recommend, learnings, break-loop, harness
Hiding a family from the default help changes discovery, never capability: every family is
documented in the CLI reference, and amber <family> --help is
authoritative for its flags.
Using it in DeepSeek Harness
The overlay ships as a native dsh-plugin bundle:
dsh plugin --profile web add dsh-amber-protocol
dsh --profile web
On Windows the default port 3080 is often reserved; add --port 13080 if the listener fails.
Unpublished-checkout fallback: if you are developing Amber itself and the bundle is not
published yet, use an overlay patch instead. Edit dsh/amber-full.patch.yml, replace
/path/to/amber-protocol with this repository's path, and layer it at startup without touching
the profile:
dsh --profile web --patch /path/to/amber-protocol/dsh/amber-full.patch.yml
Full notes: dsh/README.md.
Core Concepts
Amber organizes governance into seven control layers, weighted toward safety — the higher the priority, the more of Amber's surface that layer gets:
Governance | Approval records, safe defaults, policy boundaries, and adoption controls constrain behavior. | Highest |
Verification | Doctor, audit, validation, review, and gate surfaces provide explicit checks. | High |
Observability | Timelines, manifests, ledgers, and reports make behavior inspectable. | High |
Lifecycle | Routes, sessions, checkpoints, and worktrees organize work locally. | Medium |
Context | Starter docs, wiki scaffolds, manifests, and handoff artifacts keep project context explicit. | Medium |
Tooling | CLI commands, schemas, validators, workflow packs, and profiles expose explicit interfaces. | Medium |
Execution | Gated and capability-bound — governed command execution exists behind four gates plus frozen per-attempt admission; there is no un-gated runtime, and no capability is registered in a vanilla install. | Low |
The through-line: strengthen Governance, Verification, and Observability; keep Lifecycle repository-local; avoid drifting into a full agent platform. The governance model maps each layer to concrete commands.
What gets installed — the minimum surface doctor checks for:
AGENTS.md and CLAUDE.md — agent-facing rules
feature_list.json — tracked feature state
PROGRESS.md, session-handoff.md, clean-state-checklist.md, evaluator-rubric.md
.amber/continuous-improvement/state.json
- a minimal
docs/wiki/ — project context, system map, runbook, verification, glossary
All starter files are safe defaults. init and wiki skip existing files and report what would be created in dry-run mode.
What It Won't Do
These boundaries are part of the product, not TODOs:
- No dynamic workflow execution or live subagent dispatch
- No automatic / unattended execution — see "Governed loop execution" below for the one gated exception
- No scheduled / cron / hook-triggered execution
- No external writes (PRs, issue trackers, notifications) or agent tool-call interception
- No automatic rewrite of existing project docs
- No governed verb-stage execution in a vanilla install: the implementation-owned adapter table ships empty (there is no fallback), so
session run stages fail closed until a capability is registered — and registering one is a reviewed code change, not a config edit
Governed loop execution (opt-in, gated)
Since ADR-0003, Amber can run a loop contract's
declared governed.command — but only behind four gates: a declarative policy check
(.amber/governance/rules.json, deny-wins / default-deny), an explicit amber loop approve (one
approval authorizes one run), an isolated git worktree (your main checkout is never the cwd), and a
tamper-evident hash-chain ledger. Default loop run is still dry-run; execution needs --execute.
amber loop approve --file <pack> --contract <id> --reviewer <name>
amber loop run --file <pack> --contract <id> --execute
amber loop verify-ledger --contract <id>
amber governance standards --target .
For the full boundary notes, see SPEC.md.
amber loop recommend — the safe continuous-improvement entry
amber loop recommend is read-only: it scans the local workflow-packs' loop contracts, scores
them against a maintenance goal, and prints the dry-run command best suited to human review. It
never schedules work, executes workflow steps, dispatches agents, or writes an external system.
amber loop recommend --target . --goal "continuous improvement" --json
amber loop run --file workflow-packs/safe-amber-bootstrap.pack.json --contract daily-amber-triage --dry-run --json
Live scheduling stays outside the product boundary: loop run requires --dry-run.
Governed trust layer (trusted-control contracts)
Beyond the journey surface, Amber ships a contract-tested trust layer (four canonical contracts with product tests, all delivered):
- Governed execution attempts — every
session run attempt freezes its admission inputs (scope, policy, capability, request digest) before any effect; the gates re-verify against the frozen values, and authorization grants bind that frozen tuple with single-use consumption. Drift is refused at the gate, before execution.
- Evidence with assurance levels — receipts carry
unavailable / observed / replayable / verified, and a replay bundle (amber handoff bundle --replay-scope) rebuilds the authorization chain offline.
- Governed memory — durable lessons flow through
amber memory (request → ingest → human approve → book); MEMORY.md stays human-curated and hash-registered.
- Instruction-surface evals —
amber eval run replays deterministic model-independent checks of the agent-facing surfaces.
- MCP Action Types — 21 thin projections of the governed verbs; mutating actions return
approvalRequired and are never executed by the MCP surface.
These surfaces are the protocol's reference implementation: governed verb stages currently fail closed (no capability is registered — see "What It Won't Do") and the canonical specs are awaiting their coordinator re-review.
Documentation
The public documentation site (apps/docs) provides reader-focused guides, concepts, and authoritative single-source CLI references with 100% offline local search:
npm run docs:build
npm run docs:verify
npm run docs:gen
npm run docs:gen:check
npm run docs:test
The optional Web Viewer (apps/web) is a journey-aware inspector. It shows the current J0–J5 stage, the next governed action, active sessions, pending gates, and repository-local evidence. It reflects Amber state; it does not create a second workflow or replace the Agent/CLI authority surface.
cd apps/web
npm install --legacy-peer-deps
npm run dev
Contributing
See CONTRIBUTING.md for development setup, CI, and the release process.
Support
License
MIT License — see LICENSE for details.
Amber Protocol — the governed execution boundary between AI agents and real systems.