๐ŸŽ‰ ๐—ข๐—ฝ๐—ฒ๐—ป ๐—ฆ๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—–๐—ผ๐—ป๐˜๐—ฟ๐—ฎ๐—ฐ๐˜ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น ๐˜ƒ๐Ÿฌ.๐Ÿฑ.๐Ÿฌ โ€” โ€œ๐—–๐—ต๐—ฎ๐˜ ๐—ฎ๐˜€ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—–๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น ๐—ฆ๐˜‚๐—ฟ๐—ณ๐—ฎ๐—ฐ๐—ฒโ€

Community Article Published October 7, 2025

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Agentic Contral Model (ACM) is a spec-first contract layer and open reference runtime for agentic systems. With ACM, a single chat becomes an enterprise control surface: governed contracts, a deterministic runtime, and replay bundles replace ad-hoc tool callsโ€”enabling a true all-in-one app.

๐Ÿ“ฆ ๐—ฅ๐—ฒ๐—น๐—ฒ๐—ฎ๐˜€๐—ฒ: GitHub โ€” ACM Framework Node v0.5.0. -https://github.com/ddse-foundation/acm/releases/tag/v0.5.0

๐Ÿ“š ๐—ฆ๐—ฝ๐—ฒ๐—ฐ ๐Ÿฌ.๐Ÿฑ (๐——๐—ข๐—œ): https://doi.org/10.5281/zenodo.17278997

๐Ÿ“š๐—ช๐—ต๐—ถ๐˜๐—ฒ๐—ฝ๐—ฎ๐—ฝ๐—ฒ๐—ฟ (๐——๐—ข๐—œ): https://doi.org/10.5281/zenodo.17279075

๐Ÿงญ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„:

๐Ÿ› ๏ธ ๐—–๐—ผ๐—ฑ๐—ฒ๐—ฏ๐—ฎ๐˜€๐—ฒ & ๐——๐—ผ๐—ฐ๐˜€: Monorepo + guides to "plan โ†’ execute โ†’ replay": https://github.com/ddse-foundation/acm | https://ddse-foundation.github.io/acm/

๐—ช๐—ต๐—ฎ๐˜โ€™๐˜€ ๐—ถ๐—ป ๐˜ƒ๐Ÿฌ.๐Ÿฑ.๐Ÿฌ

โ€ข ๐˜š๐˜ฑ๐˜ฆ๐˜ค-๐˜ข๐˜ญ๐˜ช๐˜จ๐˜ฏ๐˜ฆ๐˜ฅ ๐˜ข๐˜ณ๐˜ต๐˜ช๐˜ง๐˜ข๐˜ค๐˜ต๐˜ด: Goals, Context Packets, Capability Map, Plans (with alternatives), Tasks/Tools, Policy hooks, Ledger, Replay Bundles.

โ€ข ๐˜‹๐˜ฆ๐˜ต๐˜ฆ๐˜ณ๐˜ฎ๐˜ช๐˜ฏ๐˜ช๐˜ด๐˜ต๐˜ช๐˜ค-๐˜ด๐˜ต๐˜บ๐˜ญ๐˜ฆ ๐˜ณ๐˜ถ๐˜ฏ๐˜ต๐˜ช๐˜ฎ๐˜ฆ: Guard evaluation, retries/backoff, verification hooks, checkpointing, append-only decision ledger.

โ€ข ๐˜™๐˜ฆ๐˜ฑ๐˜ญ๐˜ข๐˜บ๐˜ข๐˜ฃ๐˜ญ๐˜ฆ ๐˜ฅ๐˜ฆ๐˜ค๐˜ช๐˜ด๐˜ช๐˜ฐ๐˜ฏ ๐˜ฎ๐˜ฆ๐˜ฎ๐˜ฐ๐˜ณ๐˜บ Export a single, audit-ready bundle that captures plans, policy outcomes, checkpoints, and I/O.

โ€ข ๐˜๐˜ฏ๐˜ต๐˜ฆ๐˜ณ๐˜ฐ๐˜ฑ๐˜ฆ๐˜ณ๐˜ข๐˜ฃ๐˜ช๐˜ญ๐˜ช๐˜ต๐˜บ: Adapters for LangGraph & Microsoft Agent Framework; MCP integration treats external tools as first-class capabilities.

โ€ข ๐˜™๐˜ถ๐˜ฏ๐˜ฏ๐˜ข๐˜ฃ๐˜ญ๐˜ฆ ๐˜ฆ๐˜น๐˜ข๐˜ฎ๐˜ฑ๐˜ญ๐˜ฆ๐˜ด: Entitlement decisions, knowledge acceleration, incident triage, invoice reconciliation, and agent coachingโ€”streamed planning + replay.

๐—ช๐—ต๐˜† ๐—ถ๐˜ ๐—บ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐˜€

Teams get the OpenAI-like chat experience without giving up governance: plans are constrained by a capability map, policies gate every action, and replays certify why an action was allowed and how to reproduce it.

๐—–๐—ฟ๐—ฒ๐—ฎ๐˜๐—ฒ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ผ๐˜„๐—ป

enforcement planes

๐—–๐—ผ๐—ฟ๐—ฒ ๐—ก๐—ผ๐—ฑ๐—ฒ ๐— ๐—ผ๐—ฑ๐˜‚๐—น๐—ฒ๐˜€:

๐Ÿ“ฆ ๐™ฐ๐™ฒ๐™ผ ๐™ต๐š›๐šŠ๐š–๐šŽ๐š ๐š˜๐š›๐š” ๐šŸ๐Ÿถ.๐Ÿป.๐Ÿถ ๐™ฝ๐š˜๐š๐šŽ ๐š‚๐™ณ๐™บ: @ddse/acm-sdk

๐Ÿ“ฆ ๐™ฐ๐™ฒ๐™ผ ๐™ต๐š›๐šŠ๐š–๐šŽ๐š ๐š˜๐š›๐š” ๐šŸ๐Ÿถ.๐Ÿป.๐Ÿถ ๐™ฝ๐š˜๐š๐šŽ ๐š๐šž๐š—๐š๐š’๐š–๐šŽ: @ddse/acm-runtime

๐Ÿ“ฆ ๐™ฐ๐™ฒ๐™ผ ๐™ต๐š›๐šŠ๐š–๐šŽ๐š ๐š˜๐š›๐š” ๐šŸ๐Ÿถ.๐Ÿป.๐Ÿถ ๐™ฝ๐š˜๐š๐šŽ ๐™ฟ๐š•๐šŠ๐š—๐š—๐šŽ๐š›: @ddse/acm-planner

๐Ÿ“ฆ ๐™ฐ๐™ฒ๐™ผ ๐™ต๐š›๐šŠ๐š–๐šŽ๐š ๐š˜๐š›๐š” ๐šŸ๐Ÿถ.๐Ÿป.๐Ÿถ ๐™ฝ๐š˜๐š๐šŽ ๐š๐šŽ๐š™๐š•๐šŠ๐šข:@ddse/acm-replay

๐Ÿ“ฆ ๐™ฐ๐™ฒ๐™ผ ๐™ต๐š›๐šŠ๐š–๐šŽ๐š ๐š˜๐š›๐š” ๐šŸ๐Ÿถ.๐Ÿป.๐Ÿถ ๐™ฝ๐š˜๐š๐šŽ ๐™ต๐š›๐šŠ๐š–๐šŽ๐š ๐š˜๐š›๐š”: @ddse/acm-framework

๐Ÿ“ฆ ๐™ฐ๐™ฒ๐™ผ ๐™ต๐š›๐šŠ๐š–๐šŽ๐š ๐š˜๐š›๐š” ๐šŸ๐Ÿถ.๐Ÿป.๐Ÿถ ๐™ฝ๐š˜๐š๐šŽ ๐™ผ๐™ฒ๐™ฟ: @ddse/acm-mcp

#AgenticAI #AIEngineering #Governance #OpenSource #ACM #LLM #MCP #LangGraph #MAF #Observability #Replayability #EnterpriseAI

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