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Browser Use combines browser state, model decisions, and actions such as click, type, and extract into a repeatable loop. The open-source package favors custom tools and execution control; Cloud manages browsers, profiles, proxies, and concurrent work.
changedetection.io is a web-change signal layer: narrow the monitored content, suppress noise, and notify downstream systems only when a meaningful change occurs. It is neither a search API nor a crawler replacement.
This site covers MCP thoroughly but has never written about the layer underneath it: when your agent acts for ten thousand end users reading their own Gmail, whose database holds those refresh tokens, who rotates them, who revokes them. Composio is currently the most complete answer — MIT-licensed SDKs, a commercial hosted execution and OAuth layer. It claims 1,000+ toolkits; the managed-auth page actually lists 121 with a Composio OAuth app and 96 that require your own credentials. New pricing effective 2026-08-15: 100K free tool calls, $29/mo Pro. This post takes the authorization model down to an operational level and draws the line between wiring up MCP servers yourself and buying an integration platform.
Chroma's controlled study shows that even when it fits, a full context degrades performance. Coding agent vendors have landed on seven different responses: compact, hand off, prune, defer loading, isolate, train it into the model, or change the unit of work. Amp removed /compact outright, Atlassian argues summarization should be a last resort, and Cursor's A/B test measured a 46.9% token reduction. The three real disagreements come down to what each team is measuring.
Crawl4AI handles retrieval after a URL is known: use JsonCssExtractionStrategy for stable DOMs, and switch to LLMExtractionStrategy only when extraction needs semantic judgment or must tolerate irregular layouts.
CrewAI (GitHub 57.4k stars, MIT, PyPI 11.6M weekly downloads) defines agents by role, goal, and backstory, then groups them into crews for collaboration. Unlike LangGraph's graph-first and MAF's workflow-first approach, CrewAI is team-first — you don't draw nodes and edges, you describe who's on the team and what each person does. It fully removed its LangChain dependency in late 2024 and is now a standalone framework. The commercial side splits into the open-source package and AMP, a managed platform adding visual building, deployment, tracing, and compliance.
Exa turns every indexed web page into an embedding and retrieves by vector similarity instead of keyword matching. Official pricing as checked on 2026-08-21: $7 / 1k requests for /search (first 10 results included), $1 / 1k pages for /contents, $12–15 / 1k for the deep tiers, with $20 in free credits for new accounts. This blog's CLAUDE.md puts Exa first among cloud fetch tools, 16 of its 38 skills reference it directly, and only four existing posts mention it in passing — with zero dedicated posts. This is that post.
Firecrawl puts single-page scraping, site discovery, whole-site crawling, and JSON extraction behind one API. Cloud removes browser, proxy, and worker operations; self-hosting gives infrastructure control, but not the complete Cloud feature set.
Free access is not one model: recurring allowances, balance top-ups, rate-limited access, one-time credits, and self-hosting have different steady-state costs.
Linkup separates search depth from response shape: start most agent queries with standard + searchResults, move to deep only for multi-step browsing, and treat the monthly $20 as a balance refill rather than a new $20 grant.
LlamaIndex (51,775 GitHub stars, MIT, verified 2026-08-21) has moved its center of gravity from indexing to Workflows: the standalone llama-index-workflows package pulls 2.81M weekly PyPI downloads, more than the 1.97M of the llama-index umbrella package itself. This post covers the core abstractions, the trade-off against hand-rolling a pipeline, and a hands-on test of its defaults on Traditional Chinese text — at the same chunk_size=1024, English fits 4,645 characters and Traditional Chinese only 1,332. Plus one fact you need before choosing: the TypeScript port is archived and unmaintained.
Meilisearch turns application data into fast, typo-tolerant full-text search; the hard parts are index settings, asynchronous tasks, Chinese tokenization, access filters, and tested recovery.
Microsoft merged Semantic Kernel and its own AutoGen into Microsoft Agent Framework, which hit 1.0 GA on 2026-04-02 for .NET and Python (Go is still public preview). The absorbed autogen-agentchat has not shipped since 2025-09-30. But AG2, the fork on the original authors' side, never merged — it shipped 1.0.2 six days ago, and `pip install autogen` gets you AG2, not Microsoft. This post covers MAF's abstractions, the migration clock, and how to read the tangle of names.
MIT 6.S191's 2026 edition publishes nine lecture videos, slides, three software labs, and solutions, making it an A3 self-study course. The supplied path still depends on Google/Colab, Comet, and OpenRouter for Lab 3, while unaffiliated learners do not receive MIT credit, project feedback, or API credits.
Modal is a per-second-billed serverless GPU platform that also treats agent sandboxes as a first-class primitive (company-reported: over 1 billion sandboxes launched, more than a third of revenue). The selection question isn't how convenient it is — it's your GPU utilization. Verified 2026-08-21: Modal's A100 80GB works out to $2.50/hr against RunPod's $1.59/hr for the same card, so above 64% utilization renting your own is cheaper. But on the same day, H100 SXM is $3.95/hr on Modal against $3.99 on Lambda — on that card the premium is gone.
Qdrant is not just a place to store embeddings: define the vector schema, index frequently filtered payload fields, then add dense+sparse queries, tenant boundaries, snapshots, and monitoring to build an operable retrieval service.
Scrapling puts HTTP, Playwright browsers, CSS/XPath extraction, and a Spider API behind one Python interface. Adaptive selectors save element properties and relocate a target by similarity after a layout change, but the output still needs validation.
SearXNG is a metasearch engine, not a crawler, and it does not own a web-wide index. Based on the official 2026.8.20 documentation, this guide covers Compose installation, settings.yml, engine selection, the JSON API, and empty-result diagnosis.
Three components, one job each: SearXNG finds, Crawl4AI reads, and a thin layer of your own code glues them together. Three defaults will stop you cold — `formats` only emits HTML, `secret_key` ships as the literal string `ultrasecretkey`, and turning on the limiter blocks your own code. Also, the official install path changed in March 2026, so most tutorials online point at a repository that is now archived.
Tavily and Exa are cloud-only APIs and can't be self-hosted. What you can assemble instead is SearXNG (269 upstream engines, 82 on by default) plus Crawl4AI (78.8k stars, Apache-2.0), and the ready-made Tavily-compatible wrappers are all still double-digit-star solo projects you should not depend on. But SearXNG has no index of its own, and running it from a datacenter IP gets you empty results — those two facts decide whether self-hosting is worth it.