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AspectBase - Analytics for AI Agents
Open-source, lightweight analytics for AI agents. Track every run, step, and dollar. One line of code.
|
86 % |
|
Vantra — Observability for AI Agents
See exactly what your AI agents are doing in production. Traces, costs, errors, and anomaly alerts in 3 lines of code.
|
85 % |
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AEGIS — runtime safety for AI agents
Stop hallucinated tool calls before they hit production. Open-source agent firewall — zero code change, cryptographic audit, multi-tenant, SOC 2 framework. M...
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83 % |
|
Perssona · Orchestrate multiple LLMs in your terminal
Multi-agent. Multi-provider. A single canvas. Claude, GPT, Gemini and more — pick the brain, split the work, pay much less. For devs who want speed.
|
82 % |
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Strathon: Open-source AI agent firewall
Write a CEL rule. Strathon blocks the tool call before it executes. 3 lines of code, 10 frameworks, self-host in minutes. The open-source AI agent firewall.
|
82 % |
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AIBrake — Agent safety, loop detection & model stop-loss for paid AI agents
Agent safety for paid AI agents — loop detection, model stop-loss, retry-storm catch, and unverified-deploy block. Live x402 API at $0.005 per check, 18× ROI...
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82 % |
|
Find the call that cost you four hundred dollars · AgentOps Monitor
AgentOps Monitor records every tool call, LLM call, and dollar your agent reports to it, so an on-call engineer at 2 a.m. can stop guessing and start fixing.
|
82 % |
|
Tracehatch — AI observability for agents
Trace every prompt, tool call, model response and failure on a single timeline. Debug faster, see what each run costs, and ship agents you can trust.
|
82 % |
|
AgentOps
Trace, Debug, & Deploy Reliable AI Agents.
|
81 % |
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AgentOps
Trace, Debug, & Deploy Reliable AI Agents.
|
81 % |
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AgentBudget - Real-time cost enforcement for AI agents
Open-source Python SDK that puts a hard dollar limit on any AI agent session. One line to set a budget. Zero infrastructure to manage.
|
81 % |
|
run.pay — Discovery, routing & payment for autonomous AI agents
Your agent describes a need. run.pay finds the right service among competing providers, ranks them on real price/latency/reliability, and pays autonomously v...
|
81 % |
|
Tools for Agents — Decision Layer for AI Agents
Decision Layer for AI Agents — not 58 disconnected APIs. Advisor plans workflow, confidence, cost, and alternatives before you invoke.
|
81 % |
|
AI Agent Observability Platform | Guardonic
Monitor AI agent runs, prompts, tool calls, errors, latency, token usage, and cost with Guardonic's MIT-licensed SDK and hosted observability platform.
|
80 % |
|
Orq AI - Ship agent changes without guessing
Orq AI traces every agent run, scores it against your eval suites, and holds the release when a regression shows up. Ship AI agent changes with confidence.
|
80 % |
|
LLM Tracer — See where your AI budget goes
Two lines of code. Every LLM call tracked. Cost by model, feature, user, and conversation.
|
80 % |
|
@libar-dev/delivery-process — Stop Prompting. Start Context Engineering.
Turn your static codebase into a deterministic, queryable read-model. Extract patterns from TypeScript and Gherkin, enforce delivery workflow via FSM, and fe...
|
80 % |
|
v0 App
Created with v0
|
80 % |
|
Puse.ai — reliability monitoring for LLM apps and agents
Trace every model call: latency, tokens, cost, errors. Slack alerts on error spikes and cost regressions. One-line SDK, self-hostable.
|
80 % |
|
Clawsseum: Build AI agents that work in production.
Clawsseum is the platform for building AI agents, connecting them to any model, tool or channel through 100+ adapters, and testing every release before it re...
|
80 % |
Detected social media networks