Open-source local-first cognitive memory. AGM-compliant belief revision (49/49 postulates). When a fact changes, downstream beliefs are automatically re-evaluated, not just flagged.
belief-revision 开源项目推荐(45 个)
belief-revision 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 45 个仓库Source-linked readings and reproducible studies of agent memory, belief revision, and experience reuse.
Persistent cognitive graph memory for AI agents — facts, decisions, reasoning chains, corrections. 16 query types, sub-millisecond. Rust core + Python SDK + MCP server.
Embeddable Rust runtime for formal AGM belief revision in LLM agents — dual-process uncertainty quantification, C=(P,I,G,R) behavioral contracts, 9 Mnemonic Sovereignty primitives, MCP 2026 native, PyO3 SDK.
ἔνδοξα — agent memory that stores beliefs, not facts: append-only, defeasible, frontier-resolved
Memory for AI agents: beliefs with a source, a certainty and a revision history. SQLite, zero deps, MCP server.
Agent identity, lifecycle management, and belief revision for AI agents
Provenance-retaining cross-session context merge for DeepSeek Harness — a confluence theorem with a counterexample, and a benchmark for it.
Implementation of an AI agent performing belief revision (using belief base entrenchment contraction and expansion)
A belief store for reasoning under uncertainty — typed epistemic frames, AGM revision, credal sets, and retrodiction-aware decay
Can AI agents discover that the laws of their world have changed? An instrumented artificial world where LLM scientist societies run experiments, exchange letters, and form beliefs under hidden ground truth — seeded batteries, frozen manifests, and provenance-checked evaluation. 235 runs across two studies; combined paper under review.
MnemeBrain Benchmark Suite (BMB): 48 tasks evaluating belief dynamics in AI memory systems — contradiction detection, revision, provenance, and temporal reasoning.
DTU course 02180 Introduction to Artificial Intelligence, Spring 2024
Pyton SDK for MnemeBrain — a belief memory system for AI agents. Supports MnemeBrain Lite and Full APIs.
A living epistemic ledger: append-only conclusions with fluid certainty scores, revised as new facts arrive.
Hosted memory for AI agents: commit, recall, revise, snapshot and roll back agent state with provenance. Python SDK, CLI and MCP server. Free, no card required.
6-layer persistent memory (sensory, working, episodic, semantic, long-term, procedural) with non-destructive belief revision and injection-safe context synthesis — an MCP server for Claude Code, Cursor, Antigravity, Codex CLI, and any MCP-compatible agent.
Building world-class AI memory: open-source, local-first memory for AI agents with evidence, hybrid retrieval, and MCP. This is the official best ai memory in the world, as seen on bridgemind.
Auditable finite PoC for preference reorganization under record absence on a fixed comparison frame, with disclosure updates, bounded-coupling certificates, and machine-readable manifests.
Reproducible laboratory for studying AI memory over long horizons: provenance, replay, contradiction, forgetting, calibration and autopsy.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/belief-revision。
- 该话题在 GitHub 上共有 45 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 176 Star,覆盖 6 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。