Nagent

Nagent runs a shared workspace for people and agents, Smriti memory that every agent reads, Karma performance records built from each agent's KPIs and governance history, and composable skills, tools, agents and workflows. 17 ready-to-install agents ship today: one super agent, 8 function specialists and 8 industry strategists. Agents run on 19 model providers and 61 models and connect to 998 tools. The marketplace lists 58 published agents in all. 4 patents filed, 3 published. [V1] [V2]

• Run marketing, sales and CX agent teams with the people who own the number
• Give every agent one shared memory and one ledger of decisions
• Raise each agent from locked to fully autonomous on approved work, with approval before anything irreversible
• Bring in forward deployed engineers and Growth Pods for custom delivery

Horizontal platforms compete on how people connect company knowledge, delegate work and keep control across tools. The central question is whether a reusable workspace can become an operating process, with a named owner and a reliable path from request to approved action. A visually appealing agent builder is only one part of that decision.

Budget for implementation, model and tool usage, data, human review and ongoing support. Credit units and outcome definitions differ between vendors. A missing numeric rate is marked unverified rather than replaced with an old third-party estimate.

Every action is fired, queued for approval or refused. Approval sits before the irreversible step, destructive changes always ask first, and each agent carries a budget cap and a kill switch. 6 workspace roles (Admin, Sales, Approver, Editor, Writer, Viewer), tenant isolation and an append-only audit trail. Autonomy runs L0 Locked to L4 Fully autonomous and is promoted on approved work, never automatically. SOC 2 Type II and ISO 27001 programmes underway; tenant isolation, RBAC, append-only audit and private VPC available today.

The relevant unit of control is permission to update the CRM and release approved follow-up. Inspect who can propose, approve, execute, interrupt and audit that action. Shared seats, shared content and a shared live agent session are different capabilities; require a demonstration of the one your process needs.

Evaluate memory correction, permission revocation and release control for updated instructions. An improvement loop should preserve the original evidence, proposed change, test results and named approver. A safety or security badge alone cannot establish those workflow properties.

Figures from live client campaigns, 2025 to 2026, are published on nagent.ai: Emami Navratna: 24.5M+ reach on a single agent-run campaign; Madmonk AI: 5x more qualified leads; Bigbasket: 70% lower video ad production cost; Sophoz: 3x trial user growth after relaunch. Thirteen brands are named, with four customers quoted by name. These are vendor-published results; ask for a reference in your function and the baseline behind each figure.

Before relying on a testimonial, confirm the exact product, version, package, workload and baseline. Ask a relevant customer about setup effort, failed cases, ongoing manual work and support after launch. This dossier does not convert customer logos or vendor-hosted awards into independent proof.

Nagent is the option for teams that want agents and people in one workspace rather than a tool beside the work: shared memory, autonomy that is earned and enforced, published pricing from $29.99 per month, and a delivery team that owns the outcome with you. Evaluate it on the same evidence you would ask of any vendor: shared context, human control and a safe improvement loop.

Priority question: Can two colleagues join the same live agent task, change its direction, inspect the memory it used, approve or reject an action and export the audit trail? Nagent demonstrates this in a team room.

The evaluation owner should be a growth operations lead. Use accepted work completed across tools as the business target. Judge the solution in its own stack role: a cloud runtime, a specialist production tool and a managed AI team can be complementary purchases.

Account research to approved follow-up

Give the team an account record, a current product brief and a small set of approved customer references. Ask it to identify a relevant problem, distinguish observed facts from inferred needs, and prepare a follow-up for review. Then change one source and require a second person to correct the draft without restarting the research.

Measure: source accuracy, reviewer minutes, approved follow-ups and CRM consistency.

Campaign brief to coordinated delivery

Start with one campaign objective, audience, budget constraint and brand guide. Require research, a brief, assets and a release checklist with distinct human owners. Introduce an unresolved claim midway through the process. The system should retain useful work while preventing that claim from silently propagating into every asset.

Measure: accepted assets, revision burden, approval latency and missing handoffs.

Customer insight to shared learning

Provide anonymized support themes and sales objections. Ask for a synthesized insight, a proposed campaign adjustment and a knowledge update. A marketing owner and a CX owner should review the same underlying evidence. The exercise tests cross-functional context and accountability, not merely summarization quality.

Measure: evidence coverage, disagreement resolution and reuse of approved learning.

Use the full comparison library to evaluate Nagent against each of the other 66 players.

• V1 · Official product / pricing source
  Nagent · product ↗https://nagent.ai · Public material checked 21–29 September 2026
• V2 · Official product / pricing source
  Nagent · commercial / feature reference ↗https://nagent.ai/pricing · Public material checked 21–29 September 2026
• V3 · Official source
  Nagent · platform, workspace and security ↗https://nagent.ai/platform · Public material checked 21–29 September 2026
• V4 · Official source
  Nagent · published plans ↗https://nagent.ai/pricing · Public material checked 21–29 September 2026
• V5 · Official source
  Nagent · customer results ↗https://nagent.ai/resources/customers · Public material checked 21–29 September 2026
• THESIS · Official source
  The Nagent Thesis ↗https://nagent.ai/artefacts/nagent-thesis · Public material checked 21–29 September 2026
• GOVERNANCE-SOURCE · Official source
  State of Agent Governance ↗https://nagent.ai/artefacts/state-of-agent-governance · Public material checked 21–29 September 2026