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Open-source, cross-harness memory for AI agents

Earlier this year, my co-founder and I found ourselves frequently switching between different coding agents (Claude Code, Codex, Cursor) anytime we ran out of shaky usage limits or a newer, better model came out. We became increasingly frustrated with having to re-explain our tasks, workflows, common mistake patterns, etc. anytime we switched agents. We found no good free alternatives out there, so we built our own and fully open-sourced it! Beacon hooks into 20+ different agent harnesses, captu

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Source record

Recorded metrics

points · 15 votes
2026-10-22 03:00:18.862Z
cumulative since publication

Research analysis

Project record

Source account: Earlier this year, my co-founder and I found ourselves frequently switching between different coding agents (Claude Code, Codex, Cursor) anytime we ran out of shaky usage limits or a newer, better model came out. We became increasingly frustrated with having to re-explain our tasks, workflows, common mistake patterns, etc. anytime we switched agents. We found no good free alternatives out there, so we built our own and fully open-sourced it! Beacon hooks into 20+ different agent harnesses, captu

Observed adoption & comparisons

Source votes: 15 votes (Oct 22, 2026 UTC; cumulative since publication); previous same-scope observation: 15 (Oct 21, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “google/skills” (GitHub Trending, Nov 6, 2026); “mattpocock/skills” (GitHub Trending, Nov 6, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.

Adoption decision

Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.

Unverified requirements

Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.

Next test

Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.