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 instructions/botagi/morpheus-ai/agents-mdgit clone --depth 1 https://github.com/botAGI/morpheus-aiWhat 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 | $0.00694 | $0.00694 |
| Opus 5 | $0.00347 | $0.00347 |
| Sonnet 5 | $0.00139 | $0.00139 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
morpheus-ai AGENTS.md 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Morpheus Bootstrap
Fetch the Morpheus manifest before making changes:
- Connect manifest: start the API/UI, then fetch
/agent/connect?project_root=<PROJECT_ROOT>. - One-command prepare:
morpheus prepare-agent. - Local handoff bundle:
morpheus handoff. - Local CLI manifest:
morpheus agent-connect --json. - Local diagnostics:
morpheus diagnostics --json. - Read
WAKE.mdbefore edits. - Run compile and verify after meaningful changes.
- If the API/UI are unavailable, start them with
morpheus serve --ui --host 127.0.0.1 --port 8000 --ui-port 5173. - Use
0.0.0.0only for explicit user-approved trusted LAN testing or authenticated proxy environments.
Agent sequence:
- Fetch
/agent/connectfor this project root. - Initialize only when
state.initializedis false. - Compile, then read WAKE.md.
- Make the requested project change.
- Compile again and run
morpheus verify --all.
Morpheus Roadmap Autopilot Rule
When asked to continue Morpheus roadmap work:
- Do one slice only.
- Prefer tests first.
- Treat truth-layer work as the data-quality gate, not as a replacement for weights-as-memory.
- Treat adapter weights as the final memory artifact once dataset quality, eval, activation, and rollback gates exist.
- Use this roadmap unless the user explicitly changes it:
- v0.3: semantic classifier as product core.
- v0.4: dataset quality dashboard.
- v0.5: adapter memory benchmark.
- v0.6: agent memory routing.
- v0.7: team learning loop.
- No accepted source span means no training example.
- No eval pass means no adapter activation.
- No rollback means no production activation.
- Keep
morpheus wake .deterministic by default. - Keep cloud providers opt-in.
- Never make semantic candidates active without review.
- Never tag, release, publish, or push unless explicitly instructed.
- Always run:
ruff check .pytest tests/ -qmorpheus wake . --privatemorpheus verify --all
- If touching
check, also test file input, stdin input, JSON output, and exit codes.
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 · 66 lines · 694 tokens per session scan A 41666179e7c0
morpheus-ai AGENTS.md is an instructions file published in the GitHub repository botAGI/morpheus-ai (18 stars, last pushed 1mo ago), licensed MIT. It adds 694 tokens to every session, about $0.0035 per session on Opus 5. 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 instructions, from other repositories
repoprompt-ce AGENTS.md
Instructions for repoprompt/repoprompt-ce, covering agent notes, contribution preflight, run, debug and uncoordinated equivalents.
awesome-loop-engineering AGENTS.md
Instructions for ChaoYue0307/awesome-loop-engineering, covering repository guidance for ai agents, scope, editing rules, commit identity rule and entry format.
x-harness AGENTS.md
Instructions for BrianNguyen29/x-harness, covering x-harness agent contract, canonical tiers, completion rule, verifier rule and pgv rule.
infinity-context AGENTS.md
Instructions for 777genius/infinity-context, covering agents.md, project intent, source of truth and implementation rule.
Grape AGENTS.md
Instructions for gael55x/Grape, covering agent operating rules, before editing, documentation traversal, documentation privacy hygiene and documentation style and release claims.
ContextFlux AGENTS.md
AGENTS.md instructions for divyanshu-iitian/ContextFlux, a project described as: Task-adaptive repository context engine for coding agents: local MCP, exact token budgets, and dependency-aware retrieval.