Execlave
Execlave is an AI Agent Governance & Enforcement Platform (runtime AMP) that enforces policies, captures immutable audit trails, and provides real-time governance for autonomous AI agents, offered as managed cloud or self-hosted deployments.
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Review official source →Quick Overview
Best for: AI Agents
What it does
AI Tools software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
Freemium from Not listed (site notes a free tier available for managed cloud)
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Execlave
Execlave provides an enforcement layer that sits between AI agents and the real world to ensure agents cannot take actions the organization has not explicitly allowed, while producing cryptographically verifiable audit evidence. It is positioned as a runtime gate that evaluates every agent action against policies in milliseconds, records signed audit entries, and offers mechanisms such as human approval flows and an emergency kill switch.
The product targets organizations running autonomous agents and teams responsible for security, platform, and compliance; it supports both managed cloud and self-hosted deployments and advertises quick onboarding with developer SDKs for TypeScript and Python.
The gate between your AI agents and the real world Discussion | Link
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Claim this listing for $29Key Features
Runtime policy enforcement
Every agent action is checked against declared policies before reaching external systems; outcomes include Allowed, Paused (human review), or Blocked, with enforcement measured in milliseconds.
Real-time traces & token-level logs
Structured, searchable traces capture inputs/outputs, model name, token counts, latency percentiles, and cost tracking with session grouping and parent-child span trees.
Kill switch / emergency stop
Server-side kill switch to stop agents per agent or org-wide with measured response under 6 ms.
Compliance-ready reporting
Auto-generated reports and evidence aligned with frameworks such as SOC 2, HIPAA, GDPR, ISO 27001, EU AI Act, PCI DSS, and NIST AI RMF.
Developer SDKs
TypeScript and Python SDKs to instrument agents in three lines of code, capturing actions, tokens, and costs.
Agent lifecycle & governance controls
Agent registry, immutable version history, tiered autonomy governance, permission-drift detection, and eval-to-policy suggestion workflows.
Cost and data controls
Synchronous spend caps (cost circuit breaker) across multiple windows and data-access lineage with auto-classification for PII/PHI/PCI.
Pricing
Free tier available for the managed cloud offering; "Free tier. No credit card. Set up in 5 minutes."
Managed Cloud
Not listed (site notes a free tier available for managed cloud)- Free tier available
- SOC 2 Type II
- Global edge enforcement
- Managed Postgres + Redis
Self-hosted
Not listed (self-hosting on customer's infra; no managed pricing shown)- Docker Compose or Kubernetes deployment
- Air-gap compatible
- No customer data leaves your network
Use Cases
Prevent prompt injection and unsafe actions
Intercept and block malicious or unexpected agent behavior (e.g., prompt injection) by enforcing content filters and prompt-injection guards before actions execute.
Compliance and audit evidence
Provide cryptographically signed, immutable audit trails and auto-generated compliance reports for auditors and regulators.
Production governance of autonomous agents
Manage agent autonomy levels, detect drift and shadow agents, and apply policy bundles appropriate to each agent's risk profile.
Cost control and spend safety
Enforce synchronous spend limits and burn-rate alerts to prevent runaway usage and implement cost circuit breakers per org/agent/user.
Integrations
OpenAI
Govern agents that call OpenAI models as part of their toolset.
Anthropic
Support for agents using Anthropic models.
LangChain
Instrumentation and governance for agents built with LangChain.
LlamaIndex
Support for agents that use LlamaIndex for retrieval and indexing.
CrewAI / AutoGen / MCP
Integration/compatibility with additional agent frameworks and orchestration libraries listed on the site.
Python & TypeScript
SDKs and developer tooling for popular languages to instrument agents.
PostgreSQL
Managed Postgres in the managed cloud offering and data isolation via PostgreSQL RLS for tenant separation.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
How quickly does enforcement occur?
Can I run Execlave on my own infrastructure?
How does Execlave help with audits and compliance?
Getting Started
- 1 Step 1: Instrument your agent with the Execlave SDK ("Add three lines to your agent") to trace actions, tokens, and costs.
- 2 Step 2: Declare policies for cost limits, model restrictions, content filtering, and prompt-injection guards via the policy configuration UI or APIs.
- 3 Step 3: Deploy with your chosen option (managed cloud or self-hosted), monitor real-time traces, and use the kill switch or approval flows as needed.
Support
Docs
Documentation and references (SDK Reference, API Reference, CLI Reference) available from the product site.
Live demo
In-browser live demo accessible from the site to simulate enforcement and kill-switch actions.
Getting started / Onboarding
Get started links on the site to create a managed cloud workspace or explore self-hosted deployment documentation.
API
API Reference and SDK Reference linked from the product site (documentation pages accessible from the site navigation).
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