Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.

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Agent Communication Protocol (ACP)

IBM-led protocol for standardized agent communication. REST-based, multi-framework compatible. Companion to MCP for agent runtime communication.

Visit Agent Communication Protocol (ACP)Verified · March 6, 2026

✓ Our Verdict

Viable option — review the tradeoffs

Use Case

Your AI agents from different frameworks or teams can't talk to each other without custom glue code, blocking multi-agent workflows.

SolutionACP standardizes REST-based communication so agents discover each other, delegate tasks, and exchange multimodal content seamlessly.

SetupImplement HTTP endpoints per spec—no SDK needed; embed manifests for discovery; test with curl/Postman.

Solid interoperability across LangChain/CrewAI/custom agents; async shines for long tasks, but pre-alpha stateful sessions may glitch; REST simplicity means low perf overhead.

Interoperability

Use Case

Scaling agent swarms in production hits walls due to poor discovery, state loss, and sync bottlenecks.

SolutionACP enables dynamic/online-offline discovery, stateful sessions, and async/streaming patterns for resilient coordination.

SetupDeploy agents with manifest metadata; use capability tokens for auth; integrate OTLP for traces.

Handles scale-to-zero and long-running tasks well; streaming via SSE is responsive; Kubernetes RBAC bridge eases enterprise ops, but verify token expiry in high-load.

Scalability

Limitation — major

Pre-Alpha Stateful Features

Persistent contexts and advanced sessions are pre-alpha, risking instability in production multi-turn dialogues.

Agent Communication Protocol (ACP) vs MCP

ACP standardizes agent-to-agent talk; MCP handles agent-to-tool runtime calls—use together.

Choose Agent Communication Protocol (ACP)

For cross-framework agent collaboration and discovery in multi-agent systems.

Choose MCP

For tool invocation and runtime management within a single agent.

Caution

Async Polling Overhead

Fire-and-forget tasks require polling/subscribing for status; can spike load without WebSocket/SSE fallback—prefer streaming endpoints.

Trust Breakdown

66

Trust scoreCaution

AGENT

Autonomous workflow delegation

TRUST

Transparency & verification

INTEROP

Protocol compatibility breadth

SECURITY

Security controls & audit trail

DOCS

Documentation completeness

How these scores are calculated →

What It Actually Does

In Plain English

ACP lets AI agents communicate, discover each other, and collaborate on tasks using a standard REST-based protocol, working across different frameworks. It supports local networks for low-latency, secure interactions without cloud reliance.

IBM-led protocol for standardized agent communication. REST-based, multi-framework compatible. Companion to MCP for agent runtime communication.

Fit Assessment

Best for

✓agent-communication
✓multi-agent-collaboration
✓task-delegation
✓stateful-sessions

66

Agent Communication Protocol (ACP)

Caution · 66/100

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Score Breakdown

AGENT

Autonomous workflow delegation

TRUST

Transparency & verification

INTEROP

Protocol compatibility breadth

SECURITY

Security controls & audit trail

DOCS

Documentation completeness

Protocol Support

MCP—

A2A—

A2H—

REST API✓

Agent-callable✓

Capabilities

Transaction capable—

ACP support✓

Audit trace✓

Governance

permission-scoping
audit-log
rate-limiting

Pricing

Free

Free, open source

Workflow Fit

agent-communicationmulti-agent-collaborationtask-delegationstateful-sessions

Related Concepts

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