not exposed to the end user (for good measure) but as an in-built tool that codex can call it can do the following: memories/list
memories/read
memories/search
memories/add_ad_hoc_note
AGENTS
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Codex internal memory API endpoints for managing notes
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AI agents learn to predict remaining budget intervals to avoid waste
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Can AI agents learn to stop wasting resources on doomed tasks? Researchers from Northwestern, Michigan, Cornell, Stanford & others introduce BAGEN. It trains agents to predict remaining budget intervals and alert users early, instead of blindly overspending. Key results:
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Run local models with agent harnesses like Codex or Claude Code
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You can run local models at home and use any agent harness like Codex or Claude Code with them https://t.co/e5blwOYytx
— Ahmad (@TheAhmadOsman) 16 juin 2026You can run local models at home and use any agent harness like Codex or Claude Code with them
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Use Codex to automate busy work and update memory
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here are a few things that you should try to experience the future:
— Vaibhav (VB) Srivastav (@reach_vb) 16 juin 2026
– ask codex to use chrome and automate all your busy work like filling forms, capturing info
– ask it to update memory based on your recent sessions, PRs, artefacts on a project, watch it become better in… https://t.co/wxUxB1VlVRhere are a few things that you should try to experience the future: – ask codex to use chrome and automate all your busy work like filling forms, capturing info
– ask it to update memory based on your recent sessions, PRs, artefacts on a project, watch it become better in -
Origin: Cursor AI’s long awaited Git competitor announced
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Cursor/Graphite’s @TomasReimers just announced Origin @cursor_ai
’s long awaited Git competitor, scalable for agent workloads, extensible with api and mcp, and built in merge conflicts and co failure agent resolution -
Companies without visibility on AI agents, Ent fixes that
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Businesses are running AI agents inside live work environments with zero visibility into what those agents are actually doing.
— AI Highlight (@AIHighlight) 16 juin 2026
Ent fixes that. One platform, full intent coverage, human and AI activity tracked in real time. https://t.co/W7w8hsTTtgCompanies run AI agents in live work environments with no visibility into what these agents actually do. Ent fixes that. A single platform, complete coverage of intents, human and AI activities tracked in
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Databricks CEO proposes Agent System of Record as data + AI platform
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“You want to have all your data, be able to access it in one place, and keep it in an open format,” says @alighodsi
, co-founder and CEO of Databricks. “We’re calling this an Agent System of Record. And we think that the new system of record is the data + AI platform.” -
Deep Agents Part 2: Context Management
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Deep Agents deep dive Part 2 | Context Management
— LangChain (@LangChain) 16 juin 2026
A <2 min explanation on one of the most important capabilities in the Deep Agents harness from @SydneyRunkle pic.twitter.com/tnIsx9aiLiDeep Agents deep dive Part 2 | Context Management A
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LangSmith Fleet: two types of agents and when to use them
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LangSmith Fleet offers two types of agents: General purpose chat / Specialized agents @BraceSproul on why we offer a choice, and when to use each.
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Agents need one system of record with unified governance
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Without the right context, even the most advanced agents fail to give reliable answers. And when context is incomplete, AI will fill the gaps. “Agents need one system of record, with all of your data and unified governance,” says Databricks co-founder and CEO, @alighodsi
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