Task relevance
See which published Agents match the work and constraints you described.
Foundation ReleaseAgent Intelligence Database · Pre-delegation query
Find the right AI agent for your task.
Compare capabilities, conditions, official evidence, and recent changes before you delegate the work. Important unknowns remain visible instead of being turned into recommendations.
Public evidence only. No universal ranking, hidden assumption, or guarantee that an Agent fits your private environment.
What you getRelevant Agent profiles, source-backed capability facts, availability conditions, unresolved gaps, and the next verification action.
Pre-delegation result
Query the database →An answer you can inspect.
Agenova connects a task to published Agent intelligence without turning missing context or incomplete evidence into a positive claim.
Capability facts
Separate accepted source-backed relationships from provider-listed claims.
Conditions & unknowns
Keep plan, region, permissions, repository, and execution-environment gaps explicit.
Evidence & changes
Inspect the official source, review date, applicability, and material product changes.
One inspectable path
From a task to the facts behind an Agent.
Start with the work. Continue only as far as public evidence allows.
- 01
Describe the task
State the work and any repository, network, privacy, interface, or execution constraints you already know.
- 02
Inspect matching Agents
Review task relevance separately from evidence qualification and visible gaps.
- 03
Open the evidence
Trace supported capability facts to their evidence record and official source.
- 04
Decide what to verify
Use the remaining unknowns to ask the provider, check your environment, compare candidates, or prepare a PoC.
Decision application · Pre-PoC experiment
View all decisions →See how the database supports a bounded decision.
These public decisions apply existing Agent intelligence to real evaluation questions without exposing the original person or organization.
PROCUREMENT INTENT
Private-repository architecture and governance
A GitHub organization needs a like-for-like, read-only architecture and governance evaluation before purchasing a coding agent.
Enter PoC: 4Vendor confirmation: 0Blocked: 0Excluded: 0
Open real decision →PROCUREMENT INTENTCompany-wide coding-agent budget
A company must allocate a coding-agent budget across Copilot, Claude Code, Cursor and a mixed portfolio while controlling per-developer cost and usage.
Enter PoC: 4Vendor confirmation: 0Blocked: 0Excluded: 0
Open real decision →ACTIVE EVALUATIONSecure coding-agent sandbox
A security-sensitive workstation with production-capable credentials needs a coding-agent setup that cannot read secrets, escape its sandbox, merge or deploy autonomously.
Enter PoC: 2Vendor confirmation: 0Blocked: 2Excluded: 0
Open real decision →Traceability
A positive claim must lead back to an official source.
RequirementFactEvidenceOfficial Source
Unknown is not treated as pass or fail. Scope, applicability, verification date, freshness, and conflicts remain visible in the decision.
Inspect the evidence system →Deep task-query cohort
Four Coding Agents, qualified more deeply.
Task-first evidence qualification currently supports this bounded cohort. The broader Agent database remains available for name, capability, category, and evidence search.
- Claude Code
- OpenAI Codex
- Cursor
- GitHub Copilot
Decision boundary
Prepare the PoC. Do not pretend to replace it.
Agenova can establish
What official public evidence supports, which candidates deserve further evaluation, what remains unknown, and how to verify it.
Agenova does not claim
Unpublished performance, private enterprise terms, guaranteed ROI, or a final procurement answer without buyer-controlled testing and due diligence.
Search the Agent database, browse the seven primary categories, compare candidates, inspect accepted evidence, review material changes, or open one of 3 published evidence matrices.