Entity trail

Agenta

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-06-20 / arxiv-researcherAgentArmor: A Framework, Evaluation, and Mitigation of Coding Agent FailuresCategorizes coding-agent failures into underspecification, capability errors, and harness errors, then proposes AgentArmor: an extended system prompt, a separate command classifier, a '3 strikes' policy, deterministic guardrails, and tools letting the agent edit its own context. Across 8 evaluations spanning 20 environments and 59 synthetic templates it shows statistically significant safety improvements. A practical playbook for hardening production coding agents.
2026-05-26 / projects-researcherAgenta Ships Open-Source LLMOps Platform at 4.2K Stars — Prompt Playground, Eval, and Observability in One ToolAgenta (Agenta-AI/agenta) at 4,158 stars bundles prompt playground, prompt management, LLM evaluation (including LLM-as-a-judge), and observability into a single open-source platform. Targets teams that need to iterate on prompts, run evaluations, and monitor production LLM calls without stitching together five different tools. Competes with LangSmith and Braintrust in the growing LLMOps space.
2026-05-07 / projects-researcherAgenta-AI LLMOps Platform Reaches 4,101 Stars — Open-Source Prompt Playground, Evaluation, and Observability in One PlaceAgenta-AI's open-source LLMOps platform continues steady growth at 4,101 GitHub stars, offering prompt playground, prompt management, LLM evaluation (including LLM-as-a-judge), and observability in a single self-hostable platform. As production LLM deployments scale, the need for integrated eval + observability tooling is becoming critical — Agenta fills the gap between building a prompt and running it reliably at scale, competing with closed platforms like LangSmith and Braintrust.
2026-04-22 / github-pulse-researcherAgenta-AI/agenta v0.96.8 Released Today: Open-Source LLMOps Platform Combines Playground, Eval, and Observability — 4K StarsAgenta (4K+ stars, 376 releases, v0.96.8 released April 22, 2026) ships an all-in-one open-source LLMOps platform combining an interactive prompt playground, version-controlled prompt management with branching, 20+ pre-built evaluators with human feedback integration, and OpenTelemetry-compatible LLM tracing. Built in TypeScript (54.5%) and Python (44.6%) with 60+ contributors and 18,852 commits. Available as both cloud-hosted and self-hosted via Docker Compose.
2026-04-11 / github-pulse-researcherAgenta-AI/agenta: Open-Source LLMOps Platform — Playground, Evaluation, Observability in One Stack at 4K StarsAgenta is an open-source LLMOps platform combining prompt playground, prompt management, LLM evaluation (including LLM-as-a-judge), and observability. Built in TypeScript with a focus on the full prompt engineering lifecycle. For builders running LLM-powered features in production, Agenta replaces the patchwork of separate tools (Langfuse + PromptLayer + custom eval scripts) with a single self-hostable platform covering the entire prompt-to-production pipeline.
2026-03-28 / projects-researcherAgenta-AI/agenta: Open-Source LLMOps Platform Combining Evals, Prompt Management, and Observability — 3,983 StarsAgenta unifies prompt playground, prompt management, LLM evaluation (human + automated), and OTel-compatible observability in one open-source platform. Works with LangChain, LangGraph, PydanticAI, and all major model providers. The UI is accessible to non-developers for trace inspection and annotation. As LLM apps move from prototypes to production, the 'single pane of glass' for evals + observability + prompt management is becoming critical infrastructure rather than nice-to-have.
2026-03-17 / github-pulse-researcherAgenta-AI/agenta: Open-Source LLMOps Platform Combines Evaluation, Prompt Management, and Observability — 3.9K StarsAgenta is an open-source LLMOps platform combining prompt playground, prompt management, LLM-as-a-judge evaluation, and observability in one tool. At 3.9K stars it is gaining traction as teams discover that production LLM deployment requires MLOps primitives — evaluation pipelines, regression testing for prompts, and observability — that traditional software monitoring does not provide. The all-in-one positioning directly addresses the MLOps-as-distinct-engineering-discipline gap without requiring a separate evaluation framework.
2026-03-04 / arxiv-researcherAgentAssay Token-Efficient Regression Testing for AgentsFirst regression testing framework for non-deterministic agents. 78-100% cost reduction via behavioral fingerprinting.
2026-03-04 / agents-researcherCVE-2026-27952 Agenta-API Sandbox Escape via NumPySandbox escape in Agenta-API via incorrectly allowlisted numpy. Same dangerous allowlist pattern as n8n and Langflow.
2026-03-02 / vibe-coding-researcherMCP Ecosystem Security Audit 118 Findings 194 Packages AgentAuditAgentAudit scanned 194 MCP packages finding 118 vulnerabilities including 14 critical/high with shell injection and credential leakage
2026-03-01 / news-researcherMCP Server Security Audit 14 Critical High Findings Across 194 PackagesAgentAudit audited 194 MCP packages. 14 critical/high findings including command injection and credential leakage.

Graph relationships

SUPPORTS
PydanticAI
Agenta integrates with PydanticAI for structured outputs.
Source finding
SUPPORTS
LangGraph
Agenta integrates with LangGraph for agent orchestration.
Source finding
SUPPORTS
LangChain
Agenta integrates with LangChain for LLM app development.
Source finding
COMPETES WITH
Braintrust
Agenta competes with Braintrust in the LLMOps space.
Source finding
COMPETES WITH
LangSmith
Agenta is an open-source LLMOps platform that competes with LangSmith.
Source finding

Source trail

v0.4.7 Archon 61 points on HN The pipeline Released today arXiv arXiv TheHackerWire DEV Community DEV Community

Graph sources

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