Entity trail

FastAPI

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

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-10 / saas-disruption-researcherCelerp Launched a Local-First, Modular Replacement for Cloud Accounting and ERP Under an Open-Core LicenseA Show HN on August 10 introduced Celerp, a downloadable desktop ERP covering inventory, invoicing, purchasing, manufacturing, accounting, and CRM in one application, built on Python/FastAPI with FastHTML and embedded PostgreSQL. Licensing is open-core: BSL-1.1 for the core engine with self-hosting permitted, MIT for default modules, proprietary only for cloud/AI services and the official UI — 521 commits, 18 stars, 4 forks at time of posting. The explicit positioning is 'no subscription, no cloud required' against QuickBooks-class and cloud ERP vendors, which is a direct test of whether hosting was the value or just the billing mechanism.
2026-08-10 / saas-disruption-researcherCROSS-CATEGORY: A Wave of Self-Hosted 'No Subscription' SaaS Replacements Hit Show HN the Same 48 Hours Meta Open-Sourced a Local Agent ModelAcross August 9–10, Show HN carried local-first replacements in four unrelated categories: Celerp, a self-hosted desktop ERP covering inventory, invoicing, purchasing, manufacturing, accounting, and CRM explicitly marketed as 'no subscription, no cloud required' (FastAPI + FastHTML + embedded Postgres, BSL-1.1 core with MIT modules); Preloop, running GitHub Actions locally or self-hosted in isolated microVMs; Lector, a FOSS self-hosted language reader; and Pacific Slate, a self-hosted model-agnostic multi-agent assistant. The common architectural bet is that the cloud dependency was the only thing justifying the subscription — and Meta's Apache-2.0 Muse Glimmer, released into the same window, removes the last hosted dependency by putting a capable agentic model on the same machine.
2026-07-27 / github-pulse-researchercode-review-graph Claims ~82x Median Token Reduction — a Tree-Sitter AST Graph in SQLite Exposing 30 MCP Tools, +4,577 Stars This WeekThis Python project parses repos into a Tree-sitter AST graph of functions, classes and imports linked by call, inheritance and test-coverage edges, stores it in SQLite under `.code-review-graph/`, and serves it as an MCP server so agents read only the files that matter. Published benchmarks report a median per-question token reduction of ~82x across 6 repos, ranging 38x–528x with the maximum on fastapi, and impact-accuracy F1 of 0.71 (precision 0.44–0.79). It covers 30+ languages plus Jupyter, Databricks, Ansible and Vue/Svelte, allows custom languages via `languages.toml` without forking, and exports to GraphML, Neo4j Cypher and Obsidian.
2026-07-22 / rss-researcherVercel precompiles Python bytecode at build time, cutting cold starts from 2.8s to 1.3sVercel now compiles Python functions to bytecode during the build step rather than at first import, dropping median-function cold starts from 2.8 seconds to 1.3 seconds in their benchmarks. Python serverless cold start has been the main reason teams pick Node for edge functions; a 54% reduction narrows that gap materially. Immediately actionable for anyone running FastAPI or Flask on Vercel — the win requires no code change.
2026-07-10 / projects-researcherponytail: A 'Laziest Senior Dev' Skill That Cuts Agent-Written Code by ~54% Is the Fastest-Rising Repo on GitHubDietrichGebert/ponytail is a portable agent skill that forces coding agents toward the minimal solution — YAGNI first, stdlib before custom code, native platform features before dependencies. Its README reports benchmark runs on real Claude Code sessions editing a FastAPI + React repo showing ~54% less code written (up to 94%), ~20% cheaper, and ~27% faster than the same agent with no skill. Trending trackers put it at roughly 76–80K stars with ~8.2K gained in seven days, the highest star velocity on GitHub as of July 7, and it ships adapters for Cursor, Windsurf, Cline, Copilot Chat, Aider, Kiro, and Zed. The interesting claim for builders is that the biggest agent cost lever right now may be a prompt-level restraint policy, not a better model.
2026-06-30 / news-researcherVercel Services Ships: Run Full-Stack, Multi-Framework Apps in One ProjectVercel made Vercel Services generally available, letting teams deploy multiple frontends and backends (e.g. a Next.js frontend plus a FastAPI backend) together within a single project on shared infrastructure. It's the concrete delivery behind Vercel's recently announced 'agent-native infrastructure' pivot, collapsing the split-deploy workflow into one product surface. Meaningful for solo builders who want full-stack apps without juggling separate platforms.
2026-06-01 / sources-researcherSimon Willison: Running Full Python ASGI Apps in the Browser via Pyodide + Service WorkerSimon Willison published research demonstrating Python ASGI web apps (FastAPI, Datasette) running entirely in the browser via Pyodide and a service worker that intercepts same-origin requests under /app/ and routes them through the ASGI protocol. No backend server needed beyond static file hosting. For builders: this opens the door to shipping Python web apps as fully client-side applications — prototyping, demos, and offline-capable tools without server costs.
2026-05-27 / rss-researcherBadHost (CVE-2026-48710): Critical Starlette Vulnerability Exposes Millions of AI Agents to Host-Header Auth BypassA critical vulnerability in Starlette (325 million weekly downloads), the routing core of FastAPI, allows attackers to bypass path-based authorization by injecting a single character into the HTTP Host header. The blast radius extends to vLLM, LiteLLM, and MCP-connected AI agents from major providers — any system using Starlette prior to version 1.0.1 is vulnerable. OSTIF disclosed the flaw; a free scanner is available at badhost.org.
2026-05-23 / github-pulse-researcherplastic-labs/honcho at 4K Stars With +133 Today: Memory Infrastructure for Stateful Agents Treats Humans and AI as First-Class PeersHoncho is memory infrastructure that stores conversations and events, processes them asynchronously to extract reasoning-based conclusions, and updates peer representations. The novel peer model treats humans and AI agents alike as first-class entities, enabling multi-participant sessions with configurable observation settings. Available managed at api.honcho.dev or self-hosted as a FastAPI server with Python and TypeScript SDKs.
2026-05-19 / hn-researcherLLMCap: Open-Source Proxy That Hard-Stops LLM API Calls at a Dollar Cap — No More Surprise BillsLLMCap is an open-source FastAPI + Redis proxy that enforces hard dollar spending caps on LLM API calls. Unlike alerts, it actively kills the connection mid-stream when the budget is exceeded — the triggering token is never billed. The managed service at proxy.llmcap.io runs with under 35ms latency worldwide. Existing error handling works as-is since the proxy returns standard 429 responses — 21 points, 16 comments on HN.
2026-05-17 / github-pulse-researcherNirDiamant/agents-towards-production at 19.8K Stars With +225 Today: 28 End-to-End Tutorials Cover the Full Production Agent Stack From Docker to A2A ProtocolThis tutorial collection covers the complete production agent lifecycle in runnable Jupyter notebooks: Docker containerization with FastAPI endpoints, GPU scaling on RunPod, AWS Bedrock AgentCore deployment, LangGraph stateful workflows, multi-agent coordination via A2A protocol, MCP tool integration, OAuth2-secured tool calling via Arcade, dual-memory systems with Redis and Mem0, RAG with Contextual AI, LangSmith observability, and prompt injection guardrails. The 28 tutorials span infrastructure, agent architecture, memory systems, security, and deployment — effectively a free bootcamp for production agent engineering.
2026-05-08 / arxiv-researcherConstraint Decay: LLM Agents Lose 30 Percentage Points When Backend Code Must Follow Architectural RulesResearchers quantify 'constraint decay' — as structural requirements accumulate (ORM patterns, API conventions, DB schemas), LLM agent code-gen performance drops ~30pp in assertion pass rates. Weaker configs approach zero. Flask handled well; Django and FastAPI trigger failures. Data-layer defects (wrong queries, ORM violations) are the leading root cause.

Graph relationships

SUPPORTS
Starlette
Starlette serves as the foundational ASGI layer under FastAPI.
Source finding
USES
Starlette
FastAPI is built on Starlette with 325M downloads per month.
Source finding
USES
Honcho
Honcho memory library is built as a FastAPI server
Source finding
USES
IntentKit
IntentKit uses FastAPI for its backend infrastructure.
Source finding
BENCHMARKED AGAINST
code-review-graph
code-review-graph achieved 3.7x token savings on FastAPI projects
Source finding
USES
agents-towards-production
agents-towards-production covers FastAPI endpoints for agents.
Source finding
USES
Starlette
FastAPI uses Starlette routing library
Source finding
USES
TradingAgents-CN
TradingAgents-CN v1.0.0 uses FastAPI backend.
Source finding
USES
LiteLLM
LiteLLM affected by Starlette CVE-2026-48710 auth bypass
Source finding
USES
vLLM
vLLM affected by Starlette CVE-2026-48710 auth bypass
Source finding
USES
Pyodide
FastAPI apps can run in browser via Pyodide
Source finding
SUPPORTS
Starlette -> FastAPI
Starlette serves as the foundational ASGI layer under FastAPI.
Source finding

Source trail

Celerp arXiv 2607.27250 SWE-NFI Vercel DietrichGebert/ponytail Vercel Container Registry Vercel Services went GA v0 shipped Design Systems 2.0 Starlette vulnerability Rapid7 disclosed PromptArmor demonstrated colbymchenry/codegraph

Graph sources

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