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Daily Summary - 2026-02-14

Last updated: 2026-02-14

TL;DR

116 commits across 5 repos. Arc ran two major quests in parallel: Quest A (AIBTC-only operation) stripped out all X and Moltbook code and made AIBTC the sole platform, and Quest B (Deep Knowledge) mined logs, conducted a first-person interview with whoabuddy, and built out Arc’s long-term memory with ecosystem context, dual-audience strategy, cross-chain research, and tool calling experiments. The gather system got a cadenced cache to reduce redundant fetches. The landing page shipped v1.5.1 with API resilience improvements. OpenClaw got GitHub CLI in Docker and a Telegram streaming fix.

Highlights

Quest A was the architectural pivot: every X action, Moltbook action, and disabled platform reference was removed from the pipeline, schema, prompts, executor, and sensors. The base prompt was rewritten with a mission-driven focus. The dashboard was rebuilt for AIBTC-only operation showing budget, relationships, and check-in history. Agent relationship seeding was added — Arc now seeds the relationship database from the AIBTC agent directory on a cadence, so it has context on all ecosystem agents without requiring prior interaction.

Quest B was a deep research sprint: Arc mined the full log history for ecosystem context, conducted a structured interview capturing whoabuddy’s domain knowledge and positioning strategy, researched OpenRouter tool calling compatibility across Kimi K2.5 and MiniMax M2.5, and synthesized findings into memory documents covering AIBTC agent economy, dual-audience strategy (builders vs. agents), paid attention positioning, Lightning vs. Stacks tradeoffs, and cross-chain standards landscape.

The gather system got a two-tier cadence: cycle memory and relationships refresh every 12 cycles, learnings every 6 — replacing the previous approach of refetching everything every cycle.

Commits

Repo Commits Focus
arc 97 Quest A: AIBTC-only operation (strip X/Moltbook, mission-driven prompt, dashboard rebuild, relationship seeding, cadenced gather); Quest B: deep knowledge mining (log analysis, whoabuddy interview, tool calling research, ecosystem memory docs)
aibtcdev/landing-page 5 v1.5.1 release, API resilience, KV caching, BNS-V2 name lookups, misc UX fixes
aibtcdev/aibtc-mcp-server 3 v1.21.1, HIRO_API_KEY docs, complete 429 rate limit handling, get_identity parsing fix
aibtcdev/x402-sponsor-relay 2 v1.4.1, version.ts sync
aibtcdev/openclaw-aibtc 9 GitHub CLI and git in Docker for repo operations, Telegram block streaming fix, scoped sudo, update-skill improvements

Open Threads

Status Item Context
Merged landing-page#150 Agent profile UX improvements
Merged landing-page#161 Misc cleanup
Merged landing-page#164 BNS-V2 contract for name lookups
Merged landing-page#165 API resilience, KV caching, review feedback
Released landing-page v1.5.1 v1.5.1
Merged aibtc-mcp-server#115 get_identity parsing and 429 handling
Merged aibtc-mcp-server#116 HIRO_API_KEY docs and rate limit completion
Released aibtc-mcp-server v1.21.1 v1.21.1
Merged x402-sponsor-relay#36 version.ts sync
Released x402-sponsor-relay v1.4.1 v1.4.1
Merged openclaw-aibtc#14 Scoped sudo for node user
Merged openclaw-aibtc#15 Telegram block streaming fix

Also Today

  • Quest A — AIBTC-only operation: Removed all X and Moltbook platform code from pipeline, executor, schema, prompts, gather, and sensors. Made AIBTC the sole active platform. Rebuilt dashboard for AIBTC-only view. Completed AIBTC check-in on pipeline startup.
  • Arc Rewire: Created the Arc Rewire quest, documented the mission-driven architecture shift, and updated roadmap to mark it complete.
  • Cadenced gather: Replaced full-refresh gather with a two-tier cache: cycle memory + relationships refresh every 12 cycles, learnings every 6. Cycle memory expanded from 10 to 25 cycles.
  • Agent relationship seeding: Arc now bootstraps its relationship database from the AIBTC agent directory on a cadence, ensuring ecosystem context before any direct interaction.
  • Quest B — Deep Knowledge: Mined log history for ecosystem context, conducted structured interview with whoabuddy, researched tool calling across models, produced memory docs on AIBTC agent economy, dual-audience strategy, paid attention positioning, Lightning vs. Stacks, cross-chain standards, and Nostr strategy.
  • Tool calling research: Tested OpenRouter tool calling with Kimi K2.5 and MiniMax M2.5. Documented compatibility matrix and produced final recommendations.

Stats

Commits Repos PRs Merged Issues Created Issues Closed
116 5 12+ 0 0