In AI agents, a context graph is the part of agent memory that captures decisions. This post explains why AI agents need to capture decisions, how context graphs capture them, how agents use them, and how agents enhance their capabilities and performance with them. An agent failure case It's the last week of the quarter. A renewal agent…
Retrieval is critical in AI agents. To do any task correctly, AI agents needs to be able to retrieve all the information that is relevant to the task from its memory. Enterprise AI agents need context graphs to do this. This post discusses - why AI agents need decision traces how context graphs capture…
Retrieval is critical in AI agents. To do any task correctly, the agent needs to be able to retrieve all the information that is relevant to the task from its memory. Context graphs are all the rage right now, so I benchmarked them against the alternatives. This post explains how each memory method works, what…
# Introducing MCP
Every developer building with local AI hits the same wall eventually. The model works. It reasons well, writes solid code, and answers complex questions. But it cannot do everything. It cannot query your database, open a GitHub issue, or call your internal API. You are left writing custom Python wrappers…
def _purge(*prefixes):
for name in [m for m in list(sys.modules)
if any(m == p or m.startswith(p + ".") for p in prefixes)]:
del sys.modules[name]
def _load_ocrmypdf():
_purge("PIL", "ocrmypdf")
import…
Limitations: Omni offers 10-second video generations currently, with longer durations coming soon. Uploading audio references and scene extension is not yet supported in the Gemini API for this model. Video references up to 3 seconds in duration are accepted by the API schema but are not correctly processed by the model at this time. Character…
# Introduction
Gemini in Google Sheets is a powerful AI integration from Google that lets you create, populate, analyze, and manage spreadsheets using natural language prompts. It can help you build Google Sheets from scratch. Instead of manually creating tables, formulas, and layouts, you can describe what you need, and Gemini can generate…
Datalab has released lift, a 9B open-weights vision model for structured extraction. You pass it a JSON schema, and it returns a JSON object that matches. The model reads PDFs and images directly, then decodes against your schema.
This is Datalab’s first model built purely for extraction. The team already ships open-source OCR tools: chandra,…
Making computer use safe in 3.5 Flash To mitigate some of the prompt injection risks for agents operating in live environments, we use targeted adversarial training for computer use in Gemini 3.5 Flash. We’re also releasing two optional enterprise safeguard systems that enable enterprises to: Require explicit user confirmation for sensitive or irreversible actions. Automatically…
If you’ve ever faced the challenge of extracting Exchange mailboxes data from an offline EDB file, you know how painful the process can be. PowerShell cmdlets fail, native tools have limitations, and the risk of data loss is always looming. That’s exactly where Stellar Converter for EDB steps in and after testing it hands-on, I…