AI Agent

halo-record

Tamper-evident runtime records for AI agents: hash-chained audit trail that vendors cannot edit.

halo-record logo

halo-record

Visit website

What is halo-record?

An open-source tool that creates append-only, hash-chained logs of AI agent actions, enabling any party to verify the log was never altered without trusting the producer.

halo-record vs Similar AI Tools

Pricing ModelFree, Custom PricingFree, FreemiumFreeFree
Free Credits
Key Features
  • Zero runtime dependencies, only standard library.
  • Hash-chained records for tamper evidence.
  • Opt-in witness for completeness verification.
  • Multi-agent workflow with verification and self-healing
  • 50+ AI models auto-routed per agent
  • 1000+ OAuth2 app integrations
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
Pros
  • Open source and auditable (~4300 lines of Python).
  • No network calls by default; sensitive data stays local.
  • Replaces 10+ separate tools with one platform
  • Multi-agent orchestration saves time and context switching
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
Cons
  • Cannot prove completeness without an external witness.
  • Redaction is best-effort; raw inputs could leak if not configured properly.
  • Free tier limited to 5,000 credits per month
  • May have a learning curve for complex workflows
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
Best For
  • AI agent developers needing audit trails
  • Compliance and security teams
  • Marketing teams
  • Content creators
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams

How to use halo-record?

  1. 1Install with pip install halo-record.
  2. 2Wrap your agent's entrypoint with trace(run_my_agent, profile='my-agent', log='audit.jsonl').
  3. 3Generate a report with halo report audit.jsonl -o report.html.
  4. 4Serve gated reports with halo serve ./records --port 8721.
  5. 5Verify integrity with halo verify audit.jsonl.

halo-record Key Features

  • Zero runtime dependencies, only standard library.
  • Hash-chained records for tamper evidence.
  • Opt-in witness for completeness verification.
  • Supports multiple agent frameworks via adapters (LangChain, OpenAI Agents SDK, etc.).
  • Redacts sensitive data from records.
  • Produces self-verifying HTML Runtime Reports.

halo-record Use Cases

  • Providing verifiable audit trails for AI agents to customers and security teams.
  • Meeting compliance requirements like SOC 2, EU AI Act, and OWASP GenAI guidelines.
  • Internal debugging and forensic analysis of agent behavior.
  • Proving agent integrity during security reviews and assessments.

halo-record Pricing & Free Credits

halo-record currently operates on a Free, Custom Pricing model.

Free Tier

Open Source (Self-Hosted)

Free

Apache-2.0 license, full functionality for self-recording and verification.

Paid Plans

Hosted Witness

Contact for Pricing

Early access for a recognized witness service to enable customer-trusted completeness proofs.

Open Source (Self-Hosted)

Free

Apache-2.0 license, full functionality for self-recording and verification.

Hosted Witness

Contact for Pricing

Early access for a recognized witness service to enable customer-trusted completeness proofs.

halo-record Pros & Cons

Pros

  • Open source and auditable (~4300 lines of Python).
  • No network calls by default; sensitive data stays local.
  • Easy integration with popular AI frameworks.
  • Hash chain ensures tamper evidence without trusted third party.

Cons

  • Cannot prove completeness without an external witness.
  • Redaction is best-effort; raw inputs could leak if not configured properly.
  • Primarily Python-focused; TypeScript version available but less mature.

What is halo-record best for?

  • AI agent developers needing audit trails
  • Compliance and security teams
  • Vendors providing AI agent services to enterprises

halo-record FAQ

Top free alternatives to halo-record

Definable AI logo

Multi-agent workflow platform that builds and runs workflows from plain English prompts, integrating 1000+ apps and 50+ AI models.

Free
100X.Bot logo

Automate repetitive browser tasks by recording screen actions or describing with chat, turning them into reusable workflows, smart tables, and custom apps.

Free
SureWire logo

SureWire is a specialized QA platform that stress-tests AI agents for safety, reliability, and compliance using purpose-built testing agents.

Free
Notte logo

Browser infrastructure platform for AI agents to run on the internet at speed with cloud browser sessions, agents, and serverless functions.

Free
Manifest logo

Manifest converts any URL into a structured JSON map of what AI agents can interact with on a page—buttons, forms, inputs, and required fields.

Free
Agentcard logo

Agentcard provides agent-friendly card issuing and payment infrastructure for AI agents, enabling 5-minute setup and autonomous purchases.

Free
YAGNI logo

Manage AI agent teams like human teams with responsibilities, numbers, commitments, and approvals across your business tools.

Free
Oodle AI logo

Oodle AI provides agent observability with fast trace search, S3-based storage, and out-of-the-box insights to detect silent failures in AI agents.

Free

Best alternatives AI Tools to halo-record

Definable AI logo

Multi-agent workflow platform that builds and runs workflows from plain English prompts, integrating 1000+ apps and 50+ AI models.

Free
mcploitable logo

A collection of deliberately vulnerable MCP servers for training in agentic security, mapped to the OWASP Top 10 for Agentic Applications.

Cynative logo

Open-source AI tool for deep infrastructure research, running frontier models across code, cloud, and runtime to deliver verified answers.

agent-manager logo

Terminal UI to manage AI coding-agent sessions (Claude Code, OpenCode, Codex, Grok Build) in tmux with live status, group tree, and diff review.

hotcell logo

Self-hostable sandbox SDK for AI agents that provides isolated environments with key management and egress control on your own hardware.

Silo logo

Open-source desktop app to manage multiple project workspaces simultaneously, keeping terminals and AI coding agents running across projects with instant switching.

Annotate logo

A macOS menu-bar app that gives AI agents the ability to draw directly on your screen via MCP.

Relay Studio logo

A desktop app that transforms AI coding agents into a visual Kanban build loop for feature development with human review.