01[ infinite loop ]
DETECT
the agent is repeating itself and going nowhere.
MITIGATE
break the loop, summarize where it got to, start fresh.
LIVE · RUNTIME FAILURE RESOLUTION
auto-healing
for agents
transient failures are the #1 reason agents fail in production. not with failproof.
+
+
+
+
[ ● MONITORING ]
━━ trusted by developers from
> section_02 / failure_modes
agents run.
failproof keeps them running.
[ 01 / 05 ]
02[ hallucination ]
DETECT
the agent called a tool or file that doesn't exist.
MITIGATE
block the call, tell the agent what does exist nearby.
03[ context drift ]
DETECT
the agent has wandered away from the original goal.
MITIGATE
pull it back with a reminder of what it was supposed to do.
04[ intent completion ]
DETECT
the agent finished the task but kept going anyway.
MITIGATE
stop the run. surface the result. prevent the damage.
05[ dangerous action ]
DETECT
the agent is about to do something destructive.
MITIGATE
block it. ask a human first. log everything.
> section_03 / how_we_integrate
one line. zero latency. local.
failproof plugs into the hooks the harness already exposes. nothing changes. except how reliable agents get.
$npm install -g failproofai
# install the cli
$failproofai policies --install
# enable 26 built-in policies
$failproofai
# launch the local dashboard
┌── failproof v1.0 ──────────────────────┐
│ ● 26 policies active │
│ ● claude code + codex hooks attached │
│ ● dashboard at http://localhost:7771 │
└────────────────────────────────────────┘
zero latency
piggybacks on the harness hooks your agent already calls. never sits in the request path.
separate process
runs alongside your agent, reads the trace, never blocks the loop.
local-only
no telemetry, no cloud round-trip. your agent's reasoning never leaves your machine.
> section_04 / failure_expertise
knows how every harness fails.
and every model.
claude code
anthropic cli + sdk
● first-class support
openai codex
cli + agent runtime
● first-class support
[ coming soon ]
cursoropenclawpicodeopencodedeep agentscopilot
> section_05 / what_operators_say
trusted by teams shipping
real revenue on agents.
"We got deep understanding of how agents are failing and can be improved with Failproof. Was great working with Nivedit and making our agents resilient!"
— engineeringengineering team @ testsigma
"we now have fewer incidents, less compute waste, and faster shipping. Bonus: it is open source. Excited to scale more workloads with Failproof."
— Aravind Ranganathanco-founder & cto @ niti ai (ex-uber, microsoft)
━━ from the team that lives in agent failures
field notes from the lab
agent failures, architecture, and what it takes to ship agents in production with confidence.
the agent didn't fail. it was just told too much, too soon.
Why progressive disclosure is the most underrated concept in agent reliability.
read post →
stop praying in prompts. start enforcing with hooks.
Git figured this out decades ago. Agents are about to go further.
read post →
retry is not enough: the 3u framework for agentic reliability
In agents, failures are cognitive. Uncover, Understand, Utilize.
read post →
launching the aire principles
Five open standards for production AI systems, translated from SRE.
read post →